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📘 Marktkapitalisierung
📈 Was ist das?
Die Marktkapitalisierung zeigt, wie viel ein Unternehmen laut Börse aktuell wert ist.
🧮 Wie wird es berechnet?
🏛️ Wofür ist es wichtig?
Sie hilft Unternehmen in Größenklassen (Large, Mid, Small Cap) einzuordnen und gibt Hinweise auf Marktmacht und Stabilität.
🧮 Berechnung
🎯 Was bedeutet das für Anleger?
- Große Unternehmen gelten als stabiler, zahlen oft Dividenden, wachsen aber langsamer.
- Kleine Firmen können stärker wachsen, sind aber schwankungsanfälliger.
- Die Marktkapitalisierung ist ein guter Indikator für Unternehmensgröße, aber kein Maß für Unter- oder Überbewertung.
📘 Enterprise Value (Unternehmenswert)
📈 Was ist das?
Der Enterprise Value (EV) zeigt, was ein Unternehmen tatsächlich kostet, wenn man es komplett übernehmen würde – inklusive Schulden und abzüglich Cash.
🧮 Wie wird es berechnet?
(= Marktkapitalisierung + Nettoverschuldung)
🏛️ Wofür ist es wichtig?
Der EV ist eine realistischere Bewertungsbasis als die Marktkapitalisierung, da er die Kapitalstruktur berücksichtigt. Er ist Grundlage für Kennzahlen wie EV/FCF oder EV/Sales.
🧮 Berechnung
🎯 Was bedeutet das für Anleger?
- Der Enterprise Value zeigt, was ein Unternehmen tatsächlich wert ist – unabhängig davon, wie es finanziert ist.
- Er ist besonders wichtig für professionelle Investoren, da er eine objektivere Grundlage für Bewertungsvergleiche bietet als die Marktkapitalisierung allein.
- Ein Unternehmen mit hoher Verschuldung erscheint im EV teurer, eines mit viel Cash günstiger – auch wenn sie an der Börse gleich viel wert sind.
📘 Nettoverschuldung
📈 Was ist das?
Die Nettoverschuldung zeigt, wie viele Schulden nach Abzug des verfügbaren Cashs tatsächlich verbleiben.
🧮 Wie wird es berechnet?
🏛️ Wofür ist es wichtig?
Sie zeigt, wie stark ein Unternehmen von Fremdkapital abhängig ist – und wie gut es in der Lage ist, seine Schulden kurzfristig zu bedienen.
🧮 Berechnung
🎯 Was bedeutet das für Anleger?
- Eine niedrige oder negative Nettoverschuldung bedeutet hohe finanzielle Stabilität.
- Unternehmen mit viel Cash und geringer Verschuldung sind besser gerüstet für Krisen.
- Eine hohe Nettoverschuldung erhöht das Risiko – besonders bei steigenden Zinsen oder konjunkturellen Schwächen.
📘 Cash
📈 Was ist das?
Der Cashbestand zeigt, wie viele liquide Mittel einem Unternehmen sofort zur Verfügung stehen.
🧮 Wie wird es berechnet?
🏛️ Wofür ist es wichtig?
Er gibt Auskunft über die finanzielle Flexibilität: Ein hoher Cashbestand ermöglicht Investitionen, Rückkäufe oder Krisenresistenz.
🧮 Berechnung
🎯 Was bedeutet das für Anleger?
- Ein hoher Cashbestand zeigt finanzielle Stärke und Handlungsspielraum.
- Cash kann für Investitionen, Schuldentilgung oder Aktienrückkäufe genutzt werden.
- Allerdings: Zu viel ungenutztes Kapital kann auch auf mangelnde Investitionsideen hinweisen.
📘 Anzahl ausstehender Aktien
📈 Was ist das?
Die Anzahl ausstehender Aktien gibt an, wie viele Aktien eines Unternehmens aktuell im Umlauf sind und von Investoren gehalten werden.
🧮 Wie wird es berechnet?
🏛️ Wofür ist es wichtig?
Sie ist die Grundlage für viele Kennzahlen wie Gewinn je Aktie (EPS), Marktkapitalisierung oder KGV.
🧮 Berechnung
🎯 Was bedeutet das für Anleger?
- Je weniger Aktien im Umlauf sind, desto höher fällt z. B. der Gewinn je Aktie aus – wichtig für Bewertung und Dividendenrendite.
- Aktienrückkäufe verringern die Anzahl ausstehender Aktien – und steigern den Wert je Aktie.
- Kapitalerhöhungen haben den gegenteiligen Effekt: mehr Aktien → Verwässerung der bestehenden Anteile.
📘 Kurs-Gewinn-Verhältnis (KGV)
📈 Was ist das?
Das KGV zeigt, wie oft der Gewinn pro Aktie im aktuellen Aktienkurs enthalten ist – also wie „teuer“ eine Aktie im Verhältnis zum Gewinn ist.
🧮 Wie wird es berechnet?
🏛️ Wofür ist es wichtig?
Das KGV gehört zu den bekanntesten Bewertungskennzahlen. Es hilft Anlegern einzuschätzen, ob eine Aktie im Vergleich zu ihrem Gewinn eher günstig oder teuer erscheint.
🧮 Berechnung
📊 KGV (TTM) = bezogen auf den Gewinn der letzten 12 Monate (Trailing Twelve Months):🎯 Was bedeutet das für Anleger?
- Ein niedriges KGV kann auf eine günstige Bewertung hindeuten – oder auf Probleme im Geschäftsmodell.
- Ein hohes KGV kann Wachstumserwartungen widerspiegeln – oder eine überbewertete Aktie.
📘 Kurs-Umsatz-Verhältnis (KUV)
📈 Was ist das?
Das KUV zeigt, wie viel Anleger für 1 € Umsatz eines Unternehmens zahlen – unabhängig vom Gewinn.
🧮 Wie wird es berechnet?
🏛️ Wofür ist es wichtig?
Das KUV ist besonders bei wachstumsstarken oder noch nicht profitablen Unternehmen hilfreich. Es zeigt, wie hoch der Umsatz an der Börse bewertet wird.
🧮 Berechnung
Marktkapitalisierung = 58,89 Mrd. C$ | Umsatz (TTM) = 17,25 Mrd. C$
Marktkapitalisierung = 58,89 Mrd. C$ | Umsatz erwartet = 19,84 Mrd. C$
🎯 Was bedeutet das für Anleger?
- Ein niedriges KUV kann auf Unterbewertung hindeuten – oder auf schwache Margen.
- Ein hohes KUV kann hohe Erwartungen widerspiegeln – oder übermäßigen Optimismus.
- Besonders sinnvoll bei Wachstumsunternehmen, bei denen der Gewinn oder Free Cashflow (noch) keine Aussagekraft hat.
📘 Unternehmenswert zu Umsatz (EV/Sales)
📈 Was ist das?
EV/Sales zeigt, wie viel Anleger für 1 € Umsatz eines Unternehmens zahlen, wenn man auch Schulden und Cash berücksichtigt – es ist eine kapitalstrukturbereinigte Version des KUV.
🧮 Wie wird es berechnet?
🏛️ Wofür ist es wichtig?
Diese Kennzahl eignet sich besonders für den Vergleich von Unternehmen mit unterschiedlicher Verschuldung – sie zeigt, wie teuer ein Unternehmen tatsächlich im Verhältnis zum Umsatz ist.
🧮 Berechnung
Enterprise Value = 61,83 Mrd. C$ | Umsatz (TTM) = 17,25 Mrd. C$
Enterprise Value = 61,83 Mrd. C$ | Umsatz erwartet = 19,84 Mrd. C$
🎯 Was bedeutet das für Anleger?
- EV/Sales ist neutral gegenüber der Kapitalstruktur und eignet sich gut für Unternehmensvergleiche.
- Ein niedriges Verhältnis kann auf eine günstig bewertete Aktie hindeuten – ein hohes Verhältnis auf hohe Erwartungen oder Überbewertung.
- Besonders nützlich bei wachstumsstarken, noch nicht profitablen Firmen.
📘 Unternehmenswert zu Free Cashflow (EV/FCF)
📈 Was ist das?
EV/FCF zeigt, wie viele Jahre es dauern würde, bis ein Unternehmen seinen Unternehmenswert durch freien Cashflow „zurückverdient”.
🧮 Wie wird es berechnet?
🏛️ Wofür ist es wichtig?
Diese Kennzahl hilft, Unternehmen auf Basis ihrer tatsächlichen Cash-Erträge zu bewerten – unabhängig von Bilanzierungsregeln oder buchhalterischem Gewinn.
🧮 Berechnung
🎯 Was bedeutet das für Anleger?
- Ein niedriges EV/FCF deutet auf eine günstige Bewertung bei starker Cashgenerierung hin.
- Ein hohes EV/FCF kann entweder auf Optimismus oder auf temporär schwachen Cashflow hindeuten.
- Besonders hilfreich bei reifen, profitablen Unternehmen mit stabilen Cashflows.
📘 Kurs-Buchwert-Verhältnis (KBV)
📈 Was ist das?
Das KBV zeigt, wie hoch der Marktwert eines Unternehmens im Verhältnis zu seinem bilanziellen Eigenkapital ist.
🧮 Wie wird es berechnet?
🏛️ Wofür ist es wichtig?
Das KBV ist besonders bei Substanzwerten (z. B. Banken, Industrie) relevant. Es hilft Anlegern zu erkennen, ob ein Unternehmen unter oder über seinem buchhalterischen Vermögen bewertet ist.
🧮 Berechnung
🎯 Was bedeutet das für Anleger?
- Ein KBV unter 1 kann auf Unterbewertung oder schwache Rentabilität hindeuten.
- Ein KBV über 1 zeigt, dass der Markt dem Unternehmen Mehrwert über den Buchwert hinaus zuschreibt (z. B. Marken, Patente, Wachstum).
- Das KBV eignet sich besonders gut für Unternehmen mit stabilen, materiellen Vermögenswerten.
📘 Dividende je Aktie
📈 Was ist das?
Die Dividende je Aktie zeigt, wie viel Geld ein Unternehmen pro Aktie an seine Aktionäre ausschüttet – typischerweise jährlich oder quartalsweise.
🧮 Wie wird es berechnet?
🏛️ Wofür ist es wichtig?
Sie ist die absolute Größe der Auszahlung je Aktie – wichtig für alle, die regelmäßige Erträge suchen oder Dividendenstrategien verfolgen.
🧮 Berechnung
🎯 Was bedeutet das für Anleger?
- Eine stabile oder wachsende Dividende je Aktie ist oft ein Zeichen für ein solides Geschäftsmodell.
- Die Dividende je Aktie allein sagt aber nichts über die Rendite – dafür ist auch der Aktienkurs relevant (→ Dividendenrendite).
- Langfristig steigende Dividenden sind oft ein sehr gutes Merkmal (z. B. Dividenden-Aristokraten).
📘 Dividendenrendite
📈 Was ist das?
Die Dividendenrendite zeigt, wie hoch die Dividende eines Unternehmens im Verhältnis zum Aktienkurs ist.
🧮 Wie wird es berechnet?
🏛️ Wofür ist es wichtig?
Sie hilft dabei, Dividendenaktien vergleichbar zu machen – unabhängig vom absoluten Auszahlungsbetrag.
🧮 Berechnung
🎯 Was bedeutet das für Anleger?
- Eine stabile Dividendenrendite kann auf verlässliche Ausschüttungen hinweisen.
- Ein Vergleich der 1J- und 5J-Rendite hilft zu erkennen, ob das Dividendenwachstum mit dem Kurswachstum Schritt hält.
- Eine niedrige Rendite ist nicht zwingend negativ – sie kann auf starkes Kurswachstum hindeuten.
📘 Dividendenwachstum
📈 Was ist das?
Das Dividendenwachstum zeigt, wie stark ein Unternehmen seine Dividende je Aktie über die Zeit gesteigert hat.
🧮 Wie wird es berechnet?
5J: durchschnittliche jährliche Wachstumsrate (CAGR)
🏛️ Wofür ist es wichtig?
Stetig steigende Dividenden gelten als Zeichen für finanzielle Stärke und Aktionärsorientierung – besonders interessant für langfristige Investoren.
🧮 Berechnung
🎯 Was bedeutet das für Anleger?
- Ein stabiles Dividendenwachstum ist ein Zeichen nachhaltiger Ertragskraft.
- Ein hohes Dividendenwachstum kann ein erheblicher Hebel deiner Rendite sein:
- Wenn ein Unternehmen z. B. 1 € Dividende zahlt und diese über 5 Jahre jährlich um 15 % erhöht, bekommst du im 5. Jahr bereits 2 € je Aktie – doppelt so viel wie zu Beginn!
📘 Ausschüttungsquote (Payout)
📈 Was ist das?
Die Ausschüttungsquote zeigt, wie viel Prozent des Unternehmensgewinns (pro Aktie) als Dividende an die Aktionäre ausgeschüttet wird.
🧮 Wie wird es berechnet?
🏛️ Wofür ist es wichtig?
Die Quote hilft einzuschätzen, ob eine Dividende auf Dauer tragfähig ist – besonders im Verhältnis zum erzielten Gewinn.
🧮 Berechnung
🎯 Was bedeutet das für Anleger?
- Eine niedrige Ausschüttungsquote bedeutet: Das Unternehmen behält einen größeren Teil des Gewinns für Investitionen – typisch für Wachstumsunternehmen.
- Eine moderate Quote (z. B. 25–50 %) steht oft für ein gesundes Gleichgewicht zwischen Ausschüttung und Zukunftsinvestitionen.
- Hohe Ausschüttungsquoten können attraktiv wirken, sind aber riskanter, wenn die Gewinne schwanken oder sinken.
📘 Dividendensteigerungen in Folge (Erhöhungen)
📈 Was ist das?
Diese Kennzahl zeigt, wie viele Jahre in Folge ein Unternehmen seine Dividende pro Aktie erhöht hat – ohne Kürzung oder Aussetzung.
🧮 Wie wird es berechnet?
🏛️ Wofür ist es wichtig?
Ein langer Track Record kontinuierlicher Erhöhungen spricht für Verlässlichkeit, solide Finanzen und aktionärsfreundliche Unternehmenspolitik.
🎯 Was bedeutet das für Anleger?
- Ein langer Zeitraum mit Dividendensteigerungen stärkt das Vertrauen – besonders in Krisenzeiten.
- Solche Unternehmen gelten als verlässlich und planbar für Einkommensinvestoren.
- Je länger die Serie, desto stärker das Commitment gegenüber den Aktionären.
📘 Umsatz
📈 Was ist das?
Der Umsatz zeigt, wie viel ein Unternehmen insgesamt mit seinen Produkten und Dienstleistungen verdient – also den Bruttoerlös vor Abzug von Kosten.
🧮 Wie wird es berechnet?
🏛️ Wofür ist es wichtig?
Der Umsatz ist eine der zentralen Kennzahlen zur Einschätzung der Unternehmensgröße, Marktstellung und Wachstumskraft.
🧮 Berechnung
🎯 Was bedeutet das für Anleger?
- Ein wachsender Umsatz zeigt eine steigende Nachfrage und kann ein guter Frühindikator für Gewinnsteigerungen sein.
- Vergleiche von aktuellem und erwartetem Umsatz geben Hinweise auf das Marktumfeld und Analystenerwartungen.
- Wichtig: Starker Umsatz allein genügt nicht – auch Margen und Profitabilität zählen.
📘 EBITDA
📈 Was ist das?
EBITDA steht für „Earnings Before Interest, Taxes, Depreciation and Amortization“ – also Gewinn vor Zinsen, Steuern und Abschreibungen. Es zeigt das operative Ergebnis eines Unternehmens, bereinigt um bilanztechnische und finanzierungsbedingte Effekte.
🧮 Wie wird es berechnet?
🏛️ Wofür ist es wichtig?
EBITDA ist eine verbreitete Kennzahl zur Beurteilung der operativen Leistungsfähigkeit – insbesondere bei kapitalintensiven Unternehmen oder im internationalen Vergleich.
🧮 Berechnung
🎯 Was bedeutet das für Anleger?
- Ein hohes oder wachsendes EBITDA spricht für starke operative Erträge – unabhängig von Bilanzierung oder Steuerlast.
- EBITDA ist besonders nützlich, um Unternehmen branchenübergreifend zu vergleichen.
- Wichtig: EBITDA ist keine offizielle Gewinnkennzahl – Abschreibungen und Finanzierungskosten werden ausgeklammert.
📘 EBIT
📈 Was ist das?
EBIT steht für „Earnings Before Interest and Taxes“ – also Gewinn vor Zinsen und Steuern. Es zeigt das operative Ergebnis eines Unternehmens nach Abschreibungen, aber vor Finanzierungs- und Steueraufwand.
🧮 Wie wird es berechnet?
🏛️ Wofür ist es wichtig?
EBIT ist eine zentrale Kennzahl zur Beurteilung der Profitabilität aus dem Kerngeschäft – unabhängig von Kapitalstruktur oder Steuersystem.
🧮 Berechnung
🎯 Was bedeutet das für Anleger?
- Ein hohes EBIT deutet auf ein profitables Kerngeschäft hin – vor Zinslasten oder steuerlichen Effekten.
- Es erlaubt objektivere Vergleiche zwischen Unternehmen mit unterschiedlicher Finanzierung.
- Im Vergleich mit EBITDA zeigt EBIT bereits den Einfluss von Abschreibungen auf das operative Ergebnis.
📘 Nettogewinn
📈 Was ist das?
Der Nettogewinn ist der verbleibende Jahresüberschuss (oder -fehlbetrag) eines Unternehmens – nach Abzug aller Kosten, Steuern, Zinsen und Abschreibungen
🧮 Wie wird es berechnet?
🏛️ Wofür ist es wichtig?
Der Nettogewinn ist die zentrale Erfolgskennzahl – er zeigt, wie profitabel ein Unternehmen nach allen Kosten tatsächlich arbeitet.
🧮 Berechnung
🎯 Was bedeutet das für Anleger?
- Ein steigender Nettogewinn zeigt, dass das Unternehmen effizient wirtschaftet – trotz aller Kosten.
- Die Entwicklung des Gewinns beeinflusst z. B. direkt das KGV und weitere Kennzahlen.
- Im Zeitverlauf lässt sich ablesen, wie stabil und profitabel ein Geschäftsmodell wirklich ist.
📘 Free Cashflow (FCF)
📈 Was ist das?
Der Free Cashflow gibt Aufschluss über die echte finanzielle Stärke eines Unternehmens – unabhängig von Bilanzierungsregeln. Er zeigt, wie viel Spielraum für Dividenden, Aktienrückkäufe oder Schuldenabbau besteht.
🧮 Wie wird es berechnet?
🏛️ Wofür ist es wichtig?
FCF reflects a company’s real financial strength – regardless of accounting profits. It shows how much flexibility a company has for dividends, share buybacks, or debt reduction.
🧮 Berechnung
🎯 Was bedeutet das für Anleger?
- Ein hoher Free Cashflow bedeutet, dass ein Unternehmen echte Finanzkraft besitzt – unabhängig vom bilanzierten Gewinn.
- Er ist oft die solideste Grundlage für nachhaltige Dividenden und Aktienrückkäufe.
- Sinkender FCF kann ein Warnsignal sein – auch wenn der Gewinn stabil aussieht.
📘 Umsatzwachstum
📈 Was ist das?
Das Umsatzwachstum zeigt, wie stark sich die Erlöse eines Unternehmens im Vergleich zum Vorjahr verändert haben – tatsächlich (TTM) und auf Prognosebasis (erwartet).
🧮 Wie wird es berechnet?
Erwartet = (Umsatz erwartet ÷ Umsatz Vorjahr − 1) × 100
Erwartetes Wachstum basiert auf Analystenschätzungen für das laufende Geschäftsjahr.
🏛️ Wofür ist es wichtig?
Ein wachsender Umsatz ist ein zentrales Signal für steigende Nachfrage, Geschäftsausweitung und Marktanteilsgewinne – besonders bei Wachstumsunternehmen.
🧮 Berechnung
🎯 Was bedeutet das für Anleger?
- Wachstum ist der Motor langfristiger Wertsteigerung – besonders bei Technologie- und Wachstumsaktien.
- Wichtig ist nicht nur das aktuelle Wachstum, sondern auch dessen Nachhaltigkeit.
- Prognosen zeigen, ob Analysten weiteres Potenzial erwarten – oder eine Verlangsamung.
📘 EBITDA-Wachstum
📈 Was ist das?
Das EBITDA-Wachstum zeigt, wie stark das operative Ergebnis eines Unternehmens vor Zinsen, Steuern und Abschreibungen im Vergleich zum Vorjahr gestiegen oder gesunken ist.
🧮 Wie wird es berechnet?
Erwartet = (erwartetes EBITDA ÷ EBITDA Vorjahr − 1) × 100
Erwartetes Wachstum basiert auf Analystenschätzungen für das laufende Geschäftsjahr.
🏛️ Wofür ist es wichtig?
Ein steigendes EBITDA ist ein Zeichen für verbesserte operative Ertragskraft – unabhängig von Finanzierungsstruktur oder Abschreibungen.
🧮 Berechnung
🎯 Was bedeutet das für Anleger?
- Starkes EBITDA-Wachstum signalisiert operative Effizienz und Skalierung – besonders relevant in Wachstumsphasen.
- EBITDA-Wachstum ist ein Frühindikator für Margen- und Gewinnentwicklung – sollte aber stets im Zusammenhang mit Umsatz und EBIT betrachtet werden.
📘 EBIT Wachstum
📈 Was ist das?
Das EBIT-Wachstum zeigt, wie stark das operative Ergebnis eines Unternehmens (nach Abschreibungen, aber vor Zinsen und Steuern) im Vergleich zum Vorjahr gewachsen ist.
🧮 Wie wird es berechnet?
Erwartet = (erwartetes EBIT ÷ EBIT Vorjahr − 1) × 100
Erwartetes Wachstum basiert auf Analystenschätzungen für das laufende Geschäftsjahr.
🏛️ Wofür ist es wichtig?
Das EBIT-Wachstum ist ein direkter Indikator für die wirtschaftliche Entwicklung des operativen Geschäfts – unter Berücksichtigung der Kapitalintensität (Abschreibungen).
🧮 Berechnung
🎯 Was bedeutet das für Anleger?
- Steigendes EBIT signalisiert wachsende operative Rentabilität – auch unter Berücksichtigung von Abschreibungen.
- Das EBIT-Wachstum ist ein wichtiges Maß zur Beurteilung von Geschäftsmodellen mit hohen Investitionskosten.
- Im Zusammenspiel mit Umsatz- und EBITDA-Wachstum ergibt sich ein umfassendes Bild zur operativen Entwicklung.
📘 Nettogewinn-Wachstum
📈 Was ist das?
Das Nettogewinn-Wachstum zeigt, wie stark der Jahresüberschuss eines Unternehmens gegenüber dem Vorjahr gestiegen oder gesunken ist – sowohl tatsächlich (TTM) als auch auf Basis von Prognosen (erwartet).
🧮 Wie wird es berechnet?
Erwartet = (erwarteter Nettogewinn ÷ Nettogewinn Vorjahr − 1) × 100
Der erwartete Wert basiert auf Analystenschätzungen für das laufende Geschäftsjahr.
🏛️ Wofür ist es wichtig?
Der Gewinn ist die entscheidende Ergebnisgröße für ein Unternehmen. Ein wachsender Nettogewinn deutet auf steigende Effizienz, stabile Kostenkontrolle und nachhaltige Ertragskraft hin.
🧮 Berechnung
🎯 Was bedeutet das für Anleger?
- Wachsender Nettogewinn stärkt die Bewertung, Dividendenfähigkeit und Kursfantasie.
- Stagnierender oder rückläufiger Gewinn trotz Umsatzwachstum kann auf Margendruck hinweisen.
📘 Free Cashflow-Wachstum
📈 Was ist das?
Das Free-Cashflow-Wachstum zeigt, wie sich der freie Mittelzufluss eines Unternehmens im Vergleich zum Vorjahr verändert hat – also der Betrag, der nach allen operativen Ausgaben und Investitionen übrig bleibt.
🧮 Wie wird es berechnet?
🏛️ Wofür ist es wichtig?
Free Cashflow ist der echte, verfügbare Geldzufluss. Wachstum in diesem Bereich ist ein Zeichen für finanzielle Stärke und steigende Flexibilität bei Dividenden, Rückkäufen oder Investitionen.
🧮 Berechnung
🎯 Was bedeutet das für Anleger?
- Sinkender Free Cashflow kann auf steigende Investitionen, höhere Kosten oder stagnierende operative Erträge hindeuten.
- Besonders bei Dividendenwerten ist das FCF-Wachstum wichtig – denn Dividenden werden letztlich aus dem verfügbaren Cash gezahlt.
- Ein negativer Trend sollte genauer analysiert werden – er ist nicht zwangsläufig schlecht, aber potenziell ein Warnsignal.
📘 Bruttomarge
📈 Was ist das?
Die Bruttomarge zeigt, wie viel vom Umsatz nach Abzug der direkten Herstellungskosten (Material, Produktion) als Bruttogewinn übrig bleibt – also der „Rohgewinn“ eines Unternehmens.
🧮 Wie wird es berechnet?
Auch: Bruttomarge = Bruttogewinn ÷ Umsatz × 100
🏛️ Wofür ist es wichtig?
Die Bruttomarge gibt Aufschluss über die Profitabilität eines Produkts oder Geschäftsmodells vor Fixkosten, Steuern und Zinsen. Sie zeigt, wie effizient ein Unternehmen produzieren oder einkaufen kann.
🧮 Berechnung
🎯 Was bedeutet das für Anleger?
- Eine hohe Bruttomarge deutet auf starke Preissetzungsmacht und effiziente Herstellung hin.
- Sinkende Bruttomargen können auf Kostensteigerungen oder Preisdruck hindeuten.
- Besonders im Vergleich zu Wettbewerbern liefert die Bruttomarge wertvolle Einblicke in die Geschäftsqualität.
📘 EBITDA-Marge
📈 Was ist das?
Die EBITDA-Marge zeigt, wie viel vom Umsatz als operativer Gewinn vor Zinsen, Steuern und Abschreibungen (EBITDA) übrig bleibt. Sie misst die operative Effizienz – ohne Verzerrungen durch Finanzierung oder Buchwerte.
🧮 Wie wird es berechnet?
🏛️ Wofür ist es wichtig?
Die EBITDA-Marge hilft zu verstehen, wie viel operativer Gewinn ein Unternehmen aus jedem Euro Umsatz erzielt – unabhängig von Kapitalstruktur oder steuerlichem Umfeld.
🧮 Berechnung
🎯 Was bedeutet das für Anleger?
- Eine hohe EBITDA-Marge zeigt starke operative Ertragskraft – unabhängig von Bilanzierungseffekten.
- Die Marge ermöglicht gute Vergleiche zwischen Unternehmen und Branchen.
- Ein stabiler oder wachsender Wert kann auf effiziente Kostenkontrolle und Skalierbarkeit hindeuten.
📘 EBIT-Marge
📈 Was ist das?
Die EBIT-Marge zeigt, wie viel Prozent des Umsatzes als operativer Gewinn nach Abschreibungen, aber vor Zinsen und Steuern übrig bleiben.
🧮 Wie wird es berechnet?
🏛️ Wofür ist es wichtig?
Die EBIT-Marge misst die operative Ertragskraft eines Unternehmens unter Berücksichtigung der Kapitalintensität (z. B. Maschinen, Anlagen). Sie eignet sich gut zum Vergleich von Geschäftsmodellen mit unterschiedlich hohen Abschreibungen.
🧮 Berechnung
🎯 Was bedeutet das für Anleger?
- Eine hohe EBIT-Marge zeigt, dass ein Unternehmen auch nach Abschreibungen effizient arbeitet.
- Sie ist besonders relevant in kapitalintensiven Branchen.
- Langfristig stabile oder steigende Margen sind ein Zeichen wirtschaftlicher Stärke und Preissetzungsmacht.
📘 Nettomarge
📈 Was ist das?
Die Nettomarge zeigt, wie viel vom Umsatz am Ende als „Reingewinn“ übrig bleibt – also nach Abzug aller Kosten, Zinsen, Steuern und Abschreibungen.
🧮 Wie wird es berechnet?
🏛️ Wofür ist es wichtig?
Die Nettomarge gibt an, wie effizient ein Unternehmen über alle Stufen hinweg wirtschaftet. Sie zeigt, wie viel Gewinn tatsächlich je Euro Umsatz übrig bleibt.
🧮 Berechnung
🎯 Was bedeutet das für Anleger?
- Eine hohe Nettomarge zeigt, dass ein Unternehmen nicht nur operativ stark ist, sondern auch seine Finanzierung und Steuerbelastung im Griff hat.
- Vergleiche mit Wettbewerbern geben Einblicke in die wirtschaftliche Qualität.
- Sinkende Nettomargen trotz Umsatzwachstum können ein Warnsignal sein – etwa für steigende Kosten oder sinkende Effizienz.
📘 Free Cashflow Marge
📈 Was ist das?
Die Free-Cashflow-Marge zeigt, wie viel vom Umsatz nach Abzug aller operativen Ausgaben und Investitionen tatsächlich als freier Mittelzufluss übrig bleibt.
🧮 Wie wird es berechnet?
🏛️ Wofür ist es wichtig?
Diese Marge misst die echte Liquidität, die ein Unternehmen erwirtschaftet – unabhängig von Bilanzierungsregeln oder Abschreibungen. Sie ist besonders relevant für Dividenden, Rückkäufe und Investitionen.
🧮 Berechnung
🎯 Was bedeutet das für Anleger?
- Eine hohe Free-Cashflow-Marge zeigt, dass ein Unternehmen nachhaltig liquide Mittel erwirtschaftet.
- Sie ist ein starkes Signal für finanzielle Stabilität und Ausschüttungspotenzial.
- Wichtig ist der langfristige Trend – sinkende Werte können auf steigende Investitionen oder rückläufige operative Effizienz hindeuten.
📘 Eigenkapitalquote
📈 Was ist das?
Die Eigenkapitalquote zeigt, wie hoch der Anteil des Eigenkapitals an der Bilanzsumme eines Unternehmens ist – also wie stark es sich aus eigenen Mitteln finanziert.
🧮 Wie wird es berechnet?
🏛️ Wofür ist es wichtig?
Eine hohe Eigenkapitalquote steht für finanzielle Stabilität, Krisenfestigkeit und gute Bonität. Sie ist besonders relevant bei der Beurteilung der Verschuldung.
🧮 Berechnung
🎯 Was bedeutet das für Anleger?
- Eine hohe Eigenkapitalquote signalisiert finanzielle Stabilität – besonders in Krisenzeiten.
- Ein niedriger Wert kann auf ein höheres Risiko oder eine aggressive Verschuldung hinweisen.
- Wichtig: Die Eigenkapitalquote sollte immer gemeinsam mit der Eigenkapitalrendite betrachtet werden. Nur so lässt sich beurteilen, ob ein Unternehmen nicht nur solide, sondern auch effizient wirtschaftet.
📘 Eigenkapitalrendite (ROE)
📈 Was ist das?
Die Eigenkapitalrendite zeigt, wie effizient ein Unternehmen mit dem Kapital seiner Aktionäre arbeitet – also wie viel Gewinn es pro Euro Eigenkapital erwirtschaftet.
🧮 Wie wird es berechnet?
🏛️ Wofür ist es wichtig?
Die Eigenkapitalrendite ist eine zentrale Rentabilitätskennzahl. Sie hilft Anlegern zu erkennen, ob das Unternehmen eine attraktive Verzinsung auf das eingesetzte Eigenkapital erwirtschaftet.
🧮 Berechnung
🎯 Was bedeutet das für Anleger?
- Eine hohe Eigenkapitalrendite spricht für ein starkes, effizientes Geschäftsmodell.
- Besonders interessant ist sie bei kapitalintensiven Firmen oder solchen mit hoher Eigenkapitalquote.
- Wichtig: Ein sehr hoher ROE kann auch auf hohe Schulden hinweisen – daher sollte sie immer im Kontext mit der Eigenkapitalquote betrachtet werden.
📘 Return on Capital Employed (ROCE)
📈 Was ist das?
ROCE misst die Gesamtrentabilität eines Unternehmens – also wie effizient es das eingesetzte Kapital (Eigen- und Fremdkapital) zur Gewinnerzielung nutzt.
🧮 Wie wird es berechnet?
Das eingesetzte Kapital ist das gesamte betriebsnotwendige Kapital, unabhängig von der Finanzierungsquelle.
🏛️ Wofür ist es wichtig?
ROCE eignet sich besonders gut für den Vergleich unterschiedlich finanzierter Unternehmen. Es zeigt, wie effektiv ein Unternehmen Kapital investiert – unabhängig von der Kapitalstruktur.
🧮 Berechnung
🎯 Was bedeutet das für Anleger?
- Ein hoher ROCE zeigt, dass ein Unternehmen sein Kapital effizient einsetzt – unabhängig davon, ob es durch Eigen- oder Fremdkapital finanziert ist.
- Je höher der ROCE im Vergleich zu ähnlichen Unternehmen, desto mehr Wert schafft das Unternehmen mit seinem investierten Kapital.
- Besonders wichtig ist der ROCE bei Firmen mit hohen Investitionen – z. B. in Industrie, Energie oder Infrastruktur.
📘 Return on Invested Capital (ROIC)
📈 Was ist das?
ROIC zeigt, wie effizient ein Unternehmen das Kapital investiert, das langfristig im operativen Geschäft gebunden ist – unabhängig davon, ob es aus Eigen- oder Fremdkapital stammt.
🧮 Wie wird es berechnet?
- NOPAT = „Net Operating Profit After Taxes“
- Investiertes Kapital = operatives Vermögen abzüglich nicht-verzinster Schulden
🏛️ Wofür ist es wichtig?
ROIC ist eine der präzisesten Kennzahlen zur Bewertung der Kapitalrendite – besonders im Vergleich zur Eigenkapitalrendite, weil es Verzerrungen durch Schulden vermeidet. Er zeigt, ob ein Unternehmen Mehrwert für alle Kapitalgeber schafft.
🧮 Berechnung
🎯 Was bedeutet das für Anleger?
- Ein hoher ROIC zeigt, wie gut ein Unternehmen mit dem tatsächlich investierten (betriebsnotwendigen) Kapital wirtschaftet.
- Im Unterschied zu ROCE wird nur Kapital betrachtet, das wirklich zur Finanzierung operativer Aktivitäten dient – und verzinst werden muss.
- Besonders hilfreich, um die Kapitalrendite von Unternehmen mit viel „überschüssigem“ Kapital oder zinsfreien Verbindlichkeiten realistisch zu vergleichen.
📘 Verschuldungsgrad (Leverage Ratio)
📈 Was ist das?
Der Verschuldungsgrad zeigt, wie stark ein Unternehmen durch verzinsliche Schulden (z. B. Kredite und Anleihen) im Verhältnis zum Eigenkapital finanziert ist.
🧮 Wie wird es berechnet?
🏛️ Wofür ist es wichtig?
Die Kennzahl hilft, das finanzielle Risiko und die Abhängigkeit von Fremdkapital zu beurteilen. Ein hoher Verschuldungsgrad kann die Eigenkapitalrendite steigern – birgt aber auch erhöhte Risiken bei Zinsanstiegen oder Liquiditätsengpässen.
🧮 Berechnung
🎯 Was bedeutet das für Anleger?
- Ein niedriger Verschuldungsgrad steht für finanzielle Stabilität und Unabhängigkeit.
- Ein hoher Wert kann auf erhöhte Risiken hinweisen – insbesondere bei schwankenden Zinsen oder konjunkturellen Schwächen.
- Wichtig: Immer im Kontext zur Branche und Kapitalintensität bewerten.
📘 Ergebnis je Aktie (EPS)
📈 Was ist das?
Das Ergebnis je Aktie (EPS) zeigt, wie viel Gewinn auf eine einzelne Aktie entfällt – und ist eine der wichtigsten Kennzahlen zur Bewertung von Unternehmen.
🧮 Wie wird es berechnet?
Die verwässerte Aktienanzahl berücksichtigt auch potenzielle neue Aktien, etwa durch Optionen, Wandelanleihen oder andere Umtauschrechte.
🏛️ Wofür ist es wichtig?
EPS bildet die Basis für viele Bewertungskennzahlen wie KGV, PEG oder Payout Ratio. Es macht den Gewinn für Aktionäre vergleichbar – unabhängig von der Unternehmensgröße.
🧮 Berechnung
🎯 Was bedeutet das für Anleger?
- EPS hilft, die Profitabilität pro Aktie zu erfassen – und ist besonders wichtig im Zeitvergleich oder im Vergleich mit Analystenschätzungen.
- Steigendes EPS kann ein Zeichen für stabiles Wachstum oder Aktienrückkäufe sein.
- Wichtig: Verwende verwässertes EPS für realistische Bewertungen – besonders bei stark aktienbasierten Vergütungssystemen.
📘 Free Cashflow je Aktie (FCF je Aktie)
📈 Was ist das?
Der Free Cashflow je Aktie zeigt, wie viel freier Mittelzufluss einem Unternehmen pro Aktie zur Verfügung steht – nach Investitionen, aber vor Dividenden oder Schuldentilgung.
🧮 Wie wird es berechnet?
🏛️ Wofür ist es wichtig?
Der FCF je Aktie zeigt, wie viel liquide Mittel pro Aktie tatsächlich im Unternehmen verbleiben – wichtig für Dividenden, Aktienrückkäufe oder Schuldentilgung. Im Gegensatz zum Gewinn ist er schwerer manipulierbar und daher besonders aussagekräftig.
🧮 Berechnung
🎯 Was bedeutet das für Anleger?
- Ein hoher Free Cashflow je Aktie ist ein Zeichen für hohe finanzielle Flexibilität.
- Er zeigt, wie viel Kapital ein Unternehmen effektiv einsetzen oder ausschütten kann.
- Besonders relevant für dividendenstarke Unternehmen oder solche mit starker Kapitalrendite.
📘 Short Interest
📈 Was ist das?
Short Interest zeigt, wie viele Aktien eines Unternehmens aktuell leerverkauft wurden – also von Investoren geliehen und verkauft, in der Erwartung fallender Kurse.
🧮 Wie wird es berechnet?
Der Wert zeigt den Anteil der Aktien, der aktuell auf fallende Kurse spekuliert wird.
🏛️ Wofür ist es wichtig?
Short Interest dient als Stimmungsindikator: Ein hoher Wert deutet auf Skepsis oder negative Erwartungen gegenüber dem Unternehmen hin – kann aber auch zu einem „Short Squeeze“ führen, wenn der Kurs plötzlich steigt.
🧮 Berechnung
🎯 Was bedeutet das für Anleger?
- Ein niedriger Short Interest deutet auf Vertrauen in das Unternehmen hin.
- Ein hoher Wert kann ein Warnsignal sein – oder eine Chance, wenn sich die Stimmung dreht.
- Besonders spannend in volatilen Märkten oder vor wichtigen Quartalszahlen.
📘 Employees
📈 Was ist das?
Die Mitarbeiteranzahl zeigt, wie viele Personen ein Unternehmen weltweit beschäftigt – ein Indikator für Größe, Struktur und Geschäftsmodell.
🧮 Wie wird es berechnet?
🏛️ Wofür ist es wichtig?
Sie hilft bei der Einschätzung von Skaleneffekten, Effizienz und Personalkosten. Zusammen mit Umsatz und Gewinn lassen sich Kennzahlen wie Produktivität je Mitarbeiter ableiten.
🧮 Berechnung
🎯 Was bedeutet das für Anleger?
- Viele Mitarbeiter bedeuten große operative Komplexität – aber auch hohes Umsatzpotenzial.
- Produktivität je Mitarbeiter ist ein wichtiger Indikator für Effizienz.
- Besonders spannend bei stark wachsenden Tech- oder Industrieunternehmen.
📘 Umsatz je Mitarbeiter
📈 Was ist das?
Der Umsatz je Mitarbeiter zeigt, wie viel Erlös ein Unternehmen durchschnittlich pro Beschäftigtem erwirtschaftet – eine Kennzahl für Effizienz und Produktivität.
🧮 Wie wird es berechnet?
Die Mitarbeiterzahl stammt in der Regel aus dem letzten verfügbaren Jahresbericht.
🏛️ Wofür ist es wichtig?
Diese Kennzahl hilft, Geschäftsmodelle zu vergleichen – insbesondere zwischen arbeitsintensiven und technologiegetriebenen Unternehmen. Ein hoher Wert deutet auf Automatisierung, Effizienz oder hohen Wertschöpfungsanteil hin.
🧮 Berechnung
🎯 Was bedeutet das für Anleger?
- Ein hoher Umsatz je Mitarbeiter spricht für ein skalierbares und margenstarkes Geschäftsmodell.
- Ein niedriger Wert kann auf arbeitsintensive Prozesse oder geringere Wertschöpfung hinweisen.
- Besonders hilfreich beim Vergleich von Tech- vs. Industrieunternehmen.
Constellation Software Aktie Analyse
Analystenmeinungen
16 Analysten haben eine Constellation Software Prognose abgegeben:
Analystenmeinungen
16 Analysten haben eine Constellation Software Prognose abgegeben:
Beta Constellation Software Events
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Constellation Software — Shareholder/Analyst Call - Constellation Software Inc.
1. Management Discussion
Good morning. So last one. Mark Miller, our President, and
John Billowits, our Board Chair, have asked me to act as
Chairman of today's meeting. Our CFO, Jamal Baksh, will act
as Secretary of the meeting. Shirley Tom and Melissa
Phillips of Computershare will act as the scrutineers and
compute the votes of any polls that are taken at the
meeting. We are conducting today's meeting as a hybrid
meeting held virtually via live webcast and in person.
Before we get started, I wanted to outline a few logistical
items regarding the conduct of the meeting. We're starting
with the formal AGM business for Constellation. Once the
formal AGM business is completed, we'll move on to our
management presentations and our Q&A. Any questions
regarding procedural matters are directly related to the
motions before the meeting may be addressed during the
formal part of this meeting. Otherwise, I ask that you
please save your questions for the Q&A session to follow
after the formal business to be conducted at this -- at this
meeting has been fully completed.
As in past years, the vast majority of shareholders
submitted their proxies or voting instructions, in advance
of the meeting. But registered shareholders and duly
appointed proxy holders, they're attending virtually or in
person, we'll also have the opportunity to vote during the
meeting. If you have voted in advance of the meeting and do
not wish to change your vote, then you do not need to do
anything, you should not vote again. If you do vote
again, doing so will automatically revoke your prior vote.
For the purposes of those joining the meeting today
virtually, voting on all matters will be conducted by
electronic ballot. Registered shareholders and duly
appointed proxy holders will be asked to vote on each
business item after it is introduced. When you're asked to
vote, you will receive a message on the virtual interface
requesting you to register your votes. When voting
commences, the polls will be open for the duration of the
formal portion of this meeting. For those registered
shareholders and duly appointed proxy holders joining the
meeting today in person voting on all matters will be
conducted by ballot. The
[indiscernible] ballot includes
each item of business being voted on. You will be provided
with a few moments to complete your ballot with respect to
each business item after it is introduced. We will now
proceed to the formal portion of today's meeting.
The secretary of company has filed with me the approved
mailing of the meeting materials. The consolidated financial
statements of the company for the year ended December 31
2025, and the auditor's report thereon have also been mailed
to all shareholders of the company who have requested
them. Copies of the materials are also available on our
SEDAR+ profile and on our website. We would be pleased to
deal with any questions concerning the financial statements
subsequent to the completion of the formal business of this
meeting.
The scrutineers have reported to me that we have at least 2
shareholders present in holding or representing by proxy at
least 15% of the votes entitled to be cast at the meeting.
As such, I declare that a quorum is present for the conduct
of business, and this meeting is properly constituted for
the transaction of business.
As noted voting today will be conducted by electronic ballot
for those attending virtually or physical ballot for those
attending in person. The electronic balloting will be open
to registered holders and duly appointed proxy holders who
have properly logged in with their control numbers or invite
code after the presentation of each business item. The
physical ballot has been provided to registered holders and
duly appointed proxy holders at registration.
The first item of business is the election of directors.
There are 9 directors to be elected at this meeting. The
management information circular made available to
shareholders contains information about the 9 nominees.
Those nominees are Jamal Baksh, John Billowits, Lawrence
Cunningham;
[ Claire Kennedy ], Robert Kittel, Mark Miller
Donna Parr, Andrew Paster and Laurie Schultz. The meeting is
open for nominations for the election of directors for the
ensuing year or until their successors are elected or
appointed. I now call on Caroline
[indiscernible], the
General Counsel for Lumine Group, and Bernie Anzarouth, our
CIO, to nominate and second the nominations, the directors
for the coming year.
I nominate each of the persons just named to be director
until the close of the next Annual Meeting of Shareholders
or until their successors are appointed.
I second the nominations.
Thank you
[ Carolyn ] and Bernie. If there are no further
nominations, I declare the nominations closed. I note that
as described more fully in our management information
circular, we have a majority director election policy in
place. This policy enables shareholders to vote separately
for each director nominee at meetings of shareholders where
directors are to be elected. If a director nominee does not
receive the support of a majority of the votes cast at the
meeting of shareholder that director will be expected to
tender his or her resignation from the Board following such
meeting. The resignation will be effective upon acceptance
by the Board and will be disclosed via press release. For
more information about our majority director election
policy, please see our management information
circular. Voting is now open. I invite registered
shareholders and duly appointed proxy holders to submit
their vote.
As I mentioned earlier, if you have already voted before the
meeting, there's no need to do so -- to do anything unless
you would like to change your vote. Registered shareholders
and duly appointed proxy holders who have properly logged
into the virtual meeting with their control numbers or
invite code and wish to vote online will be able to see the
screen see on the screen, the election of directors
Registered shareholders and duly appointed proxy holders
attending the meeting in person have been given a ballot at
registration. With any shareholder or proxy holder attending
the meeting in person who may require a ballot and was not
provided one please identify yourselves to the scrutineers.
Please register your votes by selecting or marking with an X
B, For or withhold fields, next to the name of each proposed
factor on the voting page for those voting virtually or on
your ballot for those voting in person. Only persons
nominated are eligible for election. Each shareholder or
proxy holder voting ballot voting by ballot in person should
then sign and print his her name on the ballot. We will now proceed with the next item on the agenda, which
is the appointment of auditor of the company and the
establishment of the remuneration for the current year. I
now call on Caroline
[indiscernible] and Berni Anzarouth to
move and second a resolution appointing the auditors for the
current year and authorizing the directors to fix their
remuneration.
I move that KPMG LLP chartered accountants are appointed
auditors to hold office until the close of the next Annual
Meeting of Shareholders or until their successors are
appointed at such remuneration as may be fixed by the
directors and that the directors are authorized to fix such
remuneration.
I second the motion.
And I'll put the motion to the meeting. Is there any
discussion on the motion? Voting is now open, I invite
registered shareholders and duly appointed proxy holders to
submit their vote. As I mentioned earlier, if you have
already voted, there is no need to do anything unless you
would like to change your vote. Please register your votes
by electing or marking with an X, the for, or withhold
fields next to the resolution with respect to the
appointment of KPMG as the company's auditors on the voting
page for those who are virtually are on your ballot for
those attending in person. Each shareholder or a proxy
holder voting by ballot in person should then sign and print
his or her name on the ballot, if you have not already done
so.
We will now proceed with the next item of the agenda. The
next item of business is an advisory resolution to endorse
our approach to executive compensation as further set out in
our management information circular. As the vote is advisory
only, it will not be binding. However, the compensation
nominating and Human Resources Committee of the Board will
take into account the results when considering future
executive compensation arrangements. I would now call on
Caroline
[indiscernible] Bernie Anzarouth to move and second
the approval of the advisory resolution.
I moved that resolved on an advisory basis and not to
diminish the role and responsibilities of the Board of
Directors but the approach to executive compensation
disclosed in our Management Information Circular is
accepted.
I second the motion.
I now put the motion to the meeting. Is there any discussion
on the motion? Voting is now open. I invite registered
shareholders and duly appointed proxy holders to submit
their vote. As I mentioned earlier, if you have already
voted, there is no need to do anything unless you would like
to change your vote. Please register your votes by selecting
our marking with the X, the for or against fields to the
advisory resolution on executive compensation on the voting
page for those voting virtually or on your ballot for those
voting in person. Each shareholder or proxy holder voting by
ballot or in person should then sign and print his or her
name on the ballot. If you have not already done so. For
those voting in person once you have completed registering
your votes on your ballot, please raise your hand with your
ballot for the scrutineers to collect. The scrutineers will
collect the ballots for those attending in person and will
tabulate the voting results.
The full voting results will be published on SEDAR+
following the meeting, but I can report that based on the
proxies which were received in advance of the meeting, all
matters that were put to a vote today have passed. Is there
any further business to bring before the meeting? Can I have
a motion to conclude the meeting?
I move that the meeting be terminated.
I second the motion.
All those in favor, please signify by raising your right
hand. Any contrary? I declare the resolution carried, and
the meeting is terminated. The formal agenda for this
meeting is now completed. I would now like to call on Larry
Cunningham to come up on stage to commence our management
presentations. Thank you.
Well, those formalities now having concluded, we can build
some energy and talk about Constellation, Topicus and Lumine
and all the exciting businesses underway. So I want to
enthusiastically recognize and welcome this distinguished
audience of shareholders of one or more of those companies.
The capacity of this room is more than 400 and I see
that it's pretty much full. I can also report that we've got
twice that number also participating online. So it's
wonderful to have everyone together. Among that
shareholder group are nearly all the directors and many of
the officers of all 3 of these companies. Do we have a
screen showing the members of the Boards of Directors of the
various companies. I won't read all of them out nor will I
ask the directors to stand but I would like to ask you to
join me in recognizing and thanking them for their service.
The meeting today is going to be energized and exciting and
informative. Thanks to the wonderful questions that you have
already submitted and that you undoubtedly pose this
morning. Management has prepared some very interesting and
informative presentations with which we'll begin followed by
the Q&A, which will run from 10:30 a.m to 1 p.m. But to set
the stage for all of that, we want to recognize that
Constellation is now 30 years old. It's been an amazing run
amazing journey. And we'd like to just take a few minutes to
provide a presentation capturing some of that history.
Enjoy.
[Presentation]
What a run. What a -- 3 bloody good decades as Mark Leonard
might say, I don't know what your favorite figures are most
important takeaways. I think that final screen on the left
showing capital resources and very limited leverage.
But your takeaways may vary. And incidentally, the number of
countries in that panel is just a number of countries where
acquisitions were made. Constellation operates in pretty
nearly every country in the world, and we'll continue the
impressive trajectory. So that's the history.
Now to talk about the next steps, the coming decades. I'd
like to ask you to join me in welcoming the President of
Constellation Software. Mark Miller.
Larry, thank you so much
[indiscernible] seeing the event
and welcome to our shareholder meeting for all of our
companies. So really looking forward to telling you a few
stories before we get started with the question and answer.
And I have to tell you, I'm very privileged to have this
role because I get to work with a lot of tremendous people
a lot we are here in the room and around the world as we
continue to build this business out, right? So -- and we
really are the sum of our parts, and I want to sort of show
you that and demonstrate to you how much we care.
I also want to thank Mark Leonard for his guidance and
bringing us through these last 3 decades. I've lived through
them myself. I've been here for over 30 years, and we've
always been on a perpetual journey of learning. And every
day, you learn something new. And I've learned things just
by listening to our business leaders, talking to my peers
across Constellation and I continue to do so today. And I
think all of our leaders do here, which makes us very unique
companies. So I want to thank everybody for that. I want
to explained everybody, which is one of talking to people
over time who don't know a lot about Constellation is we're
not this. We're not a company that is a strong central
control over what's done. We really believe in empowering
our business leaders who are close to our customers. There's
no CIO who decides what AI platform we use or what we should
do or whether we should turn right or left or do this or
that. that's done by our business leaders across the world.
And that helps us a lot because it lets us bring new
companies on board that want to be part of this ecosystem
and learn from this environment.
But I want to make sure you understand this, when you're
comparing us to other companies, we are very decentralized.
We believe in this. We believe that our businesses all
across the world. And as you can see, there's hundreds and
hundreds of them are the ones that should be making those
decisions. They're the ones that are running each of those
businesses. They're the ones that are listening to their
customers and building their products. And in the advent of
AI, you'll see that, that's very important to understand.
We're not dictating what to do. We're allowing our leaders
to listen and learn from each other. And so there's tons of
CIOs across the -- and tons of heads of professional
services and heads of marketing and heads of sales. We're
there to coach and help, but you tend to learn best from
your peers than you do from your boss. And we've tried to
create an organization that does that at scale, and it's
helped us grow this company over time.
But I just want to go back to some of the basics for some of
the new -- our new shareholders, our new people who haven't
really heard us before, is we don't believe in fix or flip.
When we talk to a business when it joins us, we believe in
buying and holding forever. And it changes the things you
do. One of my favorite interview questions is for some new
person who's looking for a job is what you do differently if
you owned the business for 5 years versus forever. And you
do a lot of things differently, and we do a lot of things
differently. And developing people and peer learning is
very, very, very important to us. People tell you scale
matters. Scale can get you up and to the right really fast.
Well, we believe in decentralization. We believe in customer
intimacy. We believe in listening to our customers and
building products for them. In the geography they're in, in
the vertical market they're in, and we really believe that.
And we're willing to give up scale for customer intimacy.
And we do that across the world.
We've broken up many businesses, into smaller businesses. So
we don't think scale matters, we believe decentralization
and powering people matter. It allows you to develop a lot
more leaders, a lot more successors. It allows -- it just
creates an environment that a lot more people can be
included in it's a very inclusive environment. So very
important to me that. Some people will tell you culture
matters, Mark, what's the culture at Constellation? How is
it well? I don't believe in one corporate culture. We
believe in a culture of cultures. Even the same -- even the
two companies in the same city in the same country can have
two very different cultures. And that's okay. And that's
important because one of the advantages of joining
Constellation is, we're not here to change your culture.
We'll measure you, some of the events we ran at Volaris used
to have people wear their numbers on their name tags. You
need to be measured. If we're going to trust you with -- to
run that -- your business all over the world, we need to be
measured but you should determine what your culture is and
how that works because that helps you address your customers
better and solve problems that they really need to help them
run their businesses.
And I'm not a big fan of parachuting in top talent. We've
definitely
[indiscernible] some, we've hired some amazing
people who have helped us. We really believe in peer
learning. We really want people to learn from each other
and create an environment where to do that themselves, but
we do help them get together. We'll talk a little bit more
about that, and you're going to get a chance to -- some of
our leaders on stage. We'll talk about that as well. So this
is what we've built -- and I think we've done it very
differently than most people would tell you to have done it.
I don't think, if you look back at Constellation, I was part
of the first acquisition in 1995. I could never have
foreseen this is what we're going to do. We learned along
the way. There's no way you could say, we probably thought
we'd have fewer larger businesses maybe back then, but we've
learned that having small businesses -- and our businesses
are small. A lot of them have dozens of people with a few
hundred customers sometimes less, is the way to go.
And it turns out -- and I'm going to talk a little bit more
AI in a bit, it's actually positioned us very well to think
about that because we are there, the customers helping them
as they deal with changes in their businesses through time.
So I wanted to introduce Damian okay, because that is a real
opportunity for you to meet some of our vertical leaders
across Constellation. We care a lot about verticals.
Verticals really help us be closer to customers and
understand what their needs are. And sometimes, even though
they're decentralized, shares practices across the world.
But I thought it would be kind of fun for you to meet some
of our vertical leaders. And I was going to ask Damian
McKay, to come on up and Damien runs Fila and introduce his
panel. Thank you so much, Damian. I appreciate it. So there
you go.
What we're going to do is have a quick chat about
verticalization, going to bring up a couple of people. It's
a pleasure to be with you here today. It was great to see
that video and just see what is all those names popping up.
I was -- I'm familiar with some, but -- and I know that
[indiscernible] others and just the great people we've
brought into the business when we've added those companies
and how those things have compounded. And as we've got all
those stars it gives us the opportunity, not the math, not
the thing that we have to do, but where it makes sense is to
align these end verticals. So we're going to talk a little
bit about verticalization. And we've got some of the -- some
-- probably the people who have demonstrated the best way to
do that and grow that within Constellation. So with that
I'll ask Santina to introduce herself.
Hi, everyone. I'm Santina Allen. I lead the health care
group for Harris. I've been with Constellation 13 years.
Thank you. David?
Yes, my name is David
[ Nolan ], CEO of Lumine, started in
2013 building up on communications and media business.
Bill?
Hi, everyone. I'm Bill Delaney. I'm the Chief Executive
Officer of Modaxo. I've been with Constellation for
approaching 15 years.
Fantastic. Great. Well, we might get started with a couple
of questions each, and we'll sort of bounce those off. Tell
me, David, in terms of the -- your customer intimacy, you
know your customers really well. You're well known in the
industry. How does that help you -- help your customers and
then help acquisitions as they come in?
Yes, in communications and media, we have Tier 1 customers
and the big operators as you would all know, The British
Telecom, The Rogers, and on the media side, the Disney, the
Discovery. So I think we just need -- sorry about that. I
sabotaged my mic here.
Yes. So we've got some big customers worldwide, big brand
names and -- they have a lot of intelligence. And so we
learn a lot by speaking to them by finding out what the
problems are and obviously now supporting a portfolio of
companies that sell into those customers. But also as they
navigate their assets, they're important assets, they start
to share with us ideas about what else we could acquire to
help them provide security with some of those assets that
are in transient ownership at this point. So you have to
kind of earn the position to have that conversation. It
takes some time, but the power of that relationship is
unbelievable.
And Santina, could you share a little bit about your
vertical and how it shapes up?
Sure, happy to. In the health care space in North America
we span the ecosystem of patient's journey, but also the
information that surrounds that journey from acute hospital
systems to physician practice systems to specialty solutions
within the hospital, outside of the hospital, think
pharmacies retail pharmacies, local pharmacies
independents, radiology imaging, long-term care, all the way
through to payer solutions in the health insure tech space.
These businesses we own sometimes multiples in those areas.
For instance, in the physician ambulatory space, we own a
dozen different ambulatory systems that serve the private
physician practices, that's out of hundreds that are in our
market. So these systems of record provide us with that
different views on that particular market. So those systems
that we have, some serve large physician practices up to 50
physicians per practice, sometimes very small 1 to 2
physicians in different geographies as well as specialties
around the world. Collaboration of those businesses gives us
opportunities to learn about the unique space, the demands
the regulatory environment. So physician office practices
being one area.
The payer space is another area that's interesting for us.
We own the leading platform in Medicare shopping
enrollment, quoting and retention for the over -- over
60 million members in Medicare in the U.S. That solution
paired with a solution that helps those health plans develop
the product management, the products that they develop and
bring to market for members. Again, we can collaborate.
Collaboration leads to advancements in AI within our -- in
our group cross-selling. So lots of different benefits from
that ecosystem that we serve.
Done a great job, fantastic -- and Bill, you've got a global
vertical with assets and how -- maybe share a little bit
about how you built that and what advantages that global
nature can bring to your customers?
So I've had a different path. I was fortunate enough to
inherit the assets that Constellation had been investing in
right from the very start, including
[indiscernible], so no
pressure. And in late 2019, the decision was taken to bring
all those assets together under nominee parent overlay
which we ultimately branded Modaxo. So Modaxo today is the
operating group within Constellation that focuses on people
mobility. And we cover every element of your journey, right?
So you've all come here. You may have flown here, you may
have come from the city by a train you have traveled in a
private vehicle train a bus, your kids are going to school
on school buses at times, we have to carry you in
ambulances. Whatever that mode of transport is to get you
around your city and between cities. We provide the
technologies that allow that to happen, and we sell those
technologies to large government customers and operators who
work for them across the whole gamut of everything you can
think of asset management, people management, scheduling
planning, faring you name it. We do it in that ecosystem.
How do you bring that value sort of on a global scale. So
you've got those tools and the different markets.
Yes. It's interesting. We learn a lot, right? So we've gone
very deep, for example, in transit. We've got over 3,000
government customers in 37 different countries. So our
people who are at the call face with those customers are
part of the fabric of the industry, and they're recognized
for that. And so they know really deeply what's going on
and they're consulted on that. And -- and we feel part of
the community as well, and we contribute to it, we sponsor
large events. And if I take something like a big global
expo, we won last year for UITP in Hamburg, massive event.
The whole Hamburg Expo site was taken up for the first time.
It's massive. We were a platinum sponsor 1 of 3 platinum
sponsors of the entire event.
Modaxo could do that, and that provided a halo effect for
all the businesses that were there under their own brand in
our ModaxoMidaxo neighborhood. So that was a great value we gave
them in terms of giving them a a stage on which to show
their credibility to their customers. But at the same time
we conducted 100 M&A meetings at that event, right? Because
we were there to meet our competitors, and we'd arranged to
meet them ahead of time. So we use the Modaxo family and the
Modaxo brand for both of those purposes.
Yes. It's very well well known in the global market.
It is now, right? It took a little bit of time to get there
and I know you've had the same journey with Lumine, David.
But I think we're getting bankers and and brokers bringing
deals to us now, particularly as we've shown that we can do
quite large deals.
Yes. And David, I'd be interested in your sort of the origin
story of Lumine and how you built that up?
Yes. Well, we worked our way up to diamond status. So it's
just one above platinum. Yes, so it was humble beginnings
because we didn't have anything I came as a consultant.
And industry domain consultant with a lot of software
experience. And it was about finding our first business
making that first business a success. Building a bit of
brand, a bit of credibility and then starting to leverage
that into subsequent deals. So at the beginning, it was
fairly modest. It's just building up relatively small
businesses at that time and just learning about the trade of
value acquiring this asset class and how to get to great
returns and to build a compounding rhythm inside the
portfolio. So that really builds momentum. It's a rolling
thunder and we're still really at the beginning of our
journey.
So and you get the chance to brand, you get the chance to
sponsor, you get a chance to have really top-level
relationships with customers. It just feels great to be in
an opportunity to leverage that moving forward, especially
with anything else that's going on world and the
opportunities that are going to present themselves.
The other thing that happens is it's a great thing for our
people to come -- we brought all 330 of our people together
a couple of weeks ago under the Modaxo brand. Now they're
all they're rooting for their own business. But when they
come into a room and see that they're part of something
bigger, it lifts the energy, right? And apart from all the
peer sharing that goes on, it's -- and you guys do the same
thing, right?
Yes. And I think what you've been able to do in your
verticals and particularly using Lumine as an example
something that you might not think would be as big as it
got. Now we're looking at other start-up verticals in sort
of your image as well. So I think a lot of -- it would be
interesting to see this presentation in 10 years and see
what are the strong verticals we have. Santina
when a new company joins your team, what sort of value do we
bring to the employees and their customers by being part of
something bigger?
Yes. So I think when a seller considers the health care
group as a place for forever home for their business. They
do look at the ecosystem that we have, our understanding and
appreciation of the challenges that business is small and
large, faced within health care, the highly regulated
industry. So I think they appreciate that we understand
them, we understand their their customers, whether it's
large health systems, physicians, whether it's payers
again, the complexities, each one of those buyers has a
different persona, different risk profile, if you will, for
which vendors they invest in. And so again, we bring that
understanding. And so when someone joins us from the
outside, they are surrounded by peers who understand the
challenges they face.
Before we created Modaxo, I was seeking to buy businesses
under the Valaris brand, right? And I would go and speak to
a transit and they would sort of scratch their heads and
wonder what was the strategic value, and within 12 months of
creating Modaxo, we had at least 2 cases where they saw the
value then and transacted with us. So I think that speaks to
the value of that approach?
I think each of your verticals has got a reputation for
people coming to you as well. If they're in the market, they
know that you've got a significant presence. And if they
want to sell, it will be coming and talking you. Bill, we're
going to hear a little bit about AI later. But it would be
interesting to look at AI just from a vertical perspective
what additional optionality does a vertical or a group of
businesses in the same segment give you when it comes to
looking at leveraging AI in your business businesses?
Yes. Look, we're getting really excited about this now.
We've got 41 businesses today in Modaxo. Across all
different functions in every department of, say, transit
operations around the world. So what this lets us do is
build a layer above that, that Modaxo can invest in, we
still give the federated control to the underlying
businesses, but we're able to build a platform that allows
the
[indiscernible] authority to start asking questions and
building actions and agents that ignore all the industry
boundaries, ignore all the underlying business and product
boundaries and look at it from an ecosystem. And I think
we're in a position that none of our competitors are in, in
that regard. So from a Modaxo perspective, that's an
investment that we're making that each of our businesses
will be able to leverage.
And the feedback we're getting from the industry is they're
sort of blown away by this approach, and -- we're looking
forward to seeing that really build out in the coming
months.
And Santina, any thoughts on the same topic around how AI
brings optionality to your customers within your vertical?
Yes. So within -- we are the system of record for so many
pieces of clinical data that -- and data is the key to -- if
we understand the data, we understand the workflows, AI can
only we can bring extra value through that. I think ambient
listening may be an example in the health care space. If
you've not been in a physician's office and had them ask you
to turn on the ambient listening to listen passively to the
conversations that they're having with you, between the
patient and the clinician. But that data is data we're
capturing, right. And that data is valuable to improving the
outcomes within the health care ecosystem.
Great. And David, when I've spoken to you in the past
you've got a great long-term vision for what you want to do
with Lumine. Any -- could you share what you can around what
you're building to your built been purposely building to
where you are. It's just in a little read of that, but also
where you think it can go as much as you can share?
Yes, yes. Well, you got to dream big, right? So when we were
small, we said we're going to make -- going to be a $1
billion company. Everyone thought I've been at the bar for
too long, but -- and we're in that within range of that
objective. So within range of that, we set more long-term
objectives, that are equally in mind blowing -- projecting
things out. So we really see there's really three strategic
acquirers in our space ultimately, and every other business
in this industry is in a transient ownership position
whether it's a strategic private equity or even a
founder-run businesses.
But the final destination needs to be one of the three of
us. And we're just the exciting, interesting alternative to
a functional integration, synergy-based model. And customers
really like our model. So they're going to steer these
companies towards us, over the next 5, 10, 15 years. And
that really excites me about what size business we will
ultimately build. And the adjacencies around our markets are
very significant as well. So we're very, very excited about
the future.
Yes. And Santina for yourself, you've built something that's
really large, but the market is so much larger. How do you
see that vision panning out over the next 5-plus years?
I think we'll continue to be a great home for businesses
that are critical to health outcomes in North
America. They'll continue to find a home that provides an
understanding of what they need to do and what they need to
accomplish. But that peer-to-peer learning that we've talked
-- so many of us have talked about is the key to unlocking
that additional value.
Yes. Great. And maybe, Bill, I know you're known to be a
great developer of people and talent. How maybe you could
touch on some of the talent opportunities within the group
that as you're in a vertical and multiple businesses
independent businesses. But the ability to move around.
Anything you'd want to share on how you develop talent, but
also think of examples where people have been able to
leverage something bigger within a vertical?
Maybe just to follow on from that theme for a minute. We set
an equally ambitious goal when we set up Modaxo in 2020, and
we -- we decided that we wanted to touch 1 billion journeys
every day by the end of the decade. So as we sit here today
yesterday, tomorrow, we touched 640 million. So that's
getting too close to a
[indiscernible]. So we just reset for
2035 and our new goal is to get to 2 billion journeys every
day, right? And that's an amazing thing for our people.
I say to our people, you can go home and tell your kids and
your grandchildren that we touch hundreds of millions of
journeys every day, and I think that's amazing. And that
sort of speaks a little bit to the scale of what we do. And
to do that, the biggest thing that's holding us back is the
development of leaders -- so we created a -- and there's not
so much -- I think we've got good programs to build business
unit leaders within a business where we were struggling was
that step-up into group leader roles and portfolio leaders
people becoming leaders of leaders -- so we brought in some
help and we curated a leadership program around that. It's
much more around the soft skills that people need to learn
because you have to learn, how to lead through influence and
you need to take a really different strategic mindset. So we
invest heavily in that.
I just have to challenge you there, Bill. I think you've
known
[indiscernible] 2 billion journeys. I think we could
lift the bar there, but that's maybe on their internal data.
I'm also a fisherman, right? So the fish gets bigger every
time I tell the story.
Any other comments people like to make on just how you've
been able to leverage talent or grow talent within a
vertical?
Yes. I mean, so it's #1 most important thing, right?
Customers may be #1, but it's joint #1 is developing talent
so we can scale. You just don't scale unless you've got an
ongoing active talent management process and your harvesting
talent. So you think about putting crops in a field, it
takes a certain amount of time. So we got to throw a lot of
world-class fertilizer on that field. So we can get that
talent that harvested quicker and quicker and quicker as we
scale. And that's really a core competency of compounding
this asset class is just getting the talent where you need
it to be, 1 year ahead of when you need it. And that's just
a constant focus.
The one thing I tell my people is the only thing that's
going to hold you back because we've got such strong
growth is if you don't have somebody ready to take over your
role, and that's a really big mindset change for people that
when they're recruiting people, they really need to bring in
really strong contenders who are capable of stepping up into
their role. And I think that's been a really
critical approach.
So it goes back to the enduring business right? Again, we
have to have the leaders who are at the table when we're not
there.
Yes, fantastic. I mean we've got the capital, we've got the
-- there's so many opportunities out there we can go after.
We do need to make sure we've got the talent. And then I
think -- we don't have to always organize in a vertical, but
when we do, it also adds some extra compounding power in
there as well.
With that, I'd like to thank you for your contributions, not
only obviously today, but what you -- each of you have built
in your verticals and the foundation you set up, again
really looking forward to seeing how that's going to look
over the next decade. And with that, I'll hand back to
Mark.
So I don't want to get in the way of AI. So -- so yes, and
we're not changing the name of Constellation, by the way
because it's who you are, not who you say you are, what you
do, not what you say you're going to do. So I just wanted to
get this next slide up, remind you of -- before I discuss AI
of how we work. It isn't myself picking up the phone and
telling someone that this is how we're going to do it. It's
letting each of these leaders in each of these businesses
think about it. And also, when you're thinking about in a
forever time frame, you're thinking about buying and holding
forever.
I remember, I said that was always a fun question
interview. You want to think about these things because your
customers and your employees are thinking like that. They
want to know what you're going to do to help them. So we
really structured our organization to manage change, whether
it's been through. Well, we've gone through Y2K. We've gone
through mobile computing. We've gone through SaaS. We've
lived through multiple technology changes. And it isn't
because we've had a directive from Constellation
headquarters as to what to do. Our business leaders decided
how to deal with that situation.
So when SaaS came up wasn't like, "Oh, everybody should be
doing SaaS because SaaS is what's -- what's the most
important trend and everybody needs to be on it, and you
better do that or else, we're not doing it that way. We're
allowing our leaders to learn, but we're creating an
environment, see that flip -- there we go. So where our
leaders are learning. I mean, Bill talked about an inventing
opening there. There are learning events going on
continuously across constellation, not just about AI. These
are AI ones in particular. And -- but we do that across
operating groups. We do it locally in certain countries.
We'll do something in Brazil that we'll do something in
Germany or in the U.K. We'll do it in -- there's one in
Toronto going on right now near the airport, it's called an
AI Accelerator that a few of our operating groups are at
and I think it's a 5-day event where they have a room for
the developers, a room for the product managers and the room
for the business unit leader heads. And then they kind of
all they kind of like last night was -- they called it Red
Bull and Pizza night because the idea was to present your
product idea today. And so a few of our people are heading
out to see how those product ideas looked, but -- that's
just a culture, and it's a culture of learning and sharing
information.
It means you don't have any single one bet at Constellation.
You've got everybody doing it and thinking about how we
deploy our shareholders' capital at high returns. Very
important to us. And I'm so fortunate to be part of an
environment that does this. And I think the leaders that
across Constellation have brought that intuition. I think
I've sort of said this in other words, but we believe
decentralization, our structure is our biggest advantage
because we're close to those customers. Some of our
customers we've had for decades, decades and our people have
worked for us for decades. It is a great thing about being
part of a buy and hold for ever organization. You're not
going to get flipped again, you're not going to have 3
business cards in the next 10 years. You're going to be at
that same company, and we preserve the brand of that
organization. So we really believe in long-term
relationships set are trusted with our customers.
And do we know the customer space. It isn't a ChatGPT go ask
a question type of a situation. Again, great product. It's
-- you've got to know a lot in order to build products for
customers. You're dealing with trusted information. You
heard about Santina, you're talking about patient data in
cases like that. That's valuable data, and it's got to be
managed very carefully in this environment. But our biggest
advantage. If you're going to be decentralized, you've got
to believe in peer learning. Our best leaders are the best
at learning from each other. And it doesn't matter how many
decades they've worked for us. They're always open to a new
idea and a new way to do something, and listen to their
customers.
So I really wanted to make sure you all understood this.
It's a question we're asked about a lot, and it's our
structure is our biggest advantage. But in order to give you
a little bit more color, we decided to invite a few of our
leaders who are running our businesses, who are the ones
that are back in that -- all those yellow squares across the
organization, and what they're doing. So a little bit of
color or some real examples here a little bit from the
vertical leaders and. I have to thank Jeff Bender for taking
on this panel for us. And I hope you enjoy meeting some of
our leaders before we get into the general Q&A. So
and Barry.
As I always like to do these annual meetings. I have for the
past 8 years anyway. I have a running tally of how many are
in attendance. The room is filled up to capacity here in
town, so about 450 sitting here live and now nearly 800
joining us online as well. So thanks, everybody. And I'll
give it over to Jeff.
Thank you, Larry, for that update and Mark. So as Mark
mentioned, I'm Jeff Bender. I'm responsible for the Harris
Operating Group. We've gone from software eating the world
to a fear that AI is going to eat software. At CSI, we have
a deep belief in our value creation and value capture
framework. We live this framework every day by getting as
close to our customers as possible. When we do this, we
develop a depth of knowledge, understanding and
expertise that we then use to solve their most important
problems.
At CSI, we see AI as an opportunity, an opportunity to
rethink and reimagine how we do what we do for our employees
and for our customers. So as Mark mentioned, we're going to
have a chance now to hear from a number of our business
leaders about their AI transformation journey. So let's meet
the panel. Greg?
I'm Greg Richards, I lead AssetWorks. As Mark mentioned
we're one of the older companies. We've actually had
customers that signed up in the '90s. We manage about
14 million assets globally, particularly fleet or state
federal and local government, but increasingly now more
large private fleets as well.
Andrew?
Great. Thank you. I'm Andrew Jones. I'm the GM of Click
Dimensions. We provide marketing automation. So we help our
customers do outcome-based marketing through our Dynamics
native platform as well as providing marketing automation.
We provide marketing expertise as well as services to help
our customers do great things.
David?
Yes. Thanks, Jeff. I started my business to Constellation
back in 2018. So I've been on the whole journey. I don't
work within that business anymore. I have the great fortune
to look after a couple of businesses that we bought in the
past sort of 3 or 4 years. The first of those is CelCat
that's spelt with a C. CelCat are based in the U.K.
timetable, academic life for universities, and we do that in
the U.K. We do it in France, South Africa, Australia, and
we've been doing it for 40 years.
And then the second business is Bullet Solutions who we
acquired in 2024. And they do very similar things. They also
timetable, academic life. They serve Spanish and Portuguese
speaking territories.
Let's stay with you, David. So my understanding is you did
something that most leaders would say is impossible. Tell us
more about?
Yes. Well, I experienced one of the Valaris AI workshops
back in March last year. And I went away from that with one
question, which was simply how fast can we go. And what I
did on day 1 was I stopped all development across by
businesses. So CelCat and Bullet. We stopped for the whole
month of April last year, and they went on an intensive
learning program, to learn what we could do with the
technology. And I think if I look back and then we look now
at the outcome of that, it's actually pretty
straightforward.
At the outset, we came back in May, and we were going
faster. If you think of a cycle time from concept through to
production software, typically for us, that was measured in
months. When we came back in May, we already started
measuring that in weeks. And as we went through last year
we turned that from weeks into days. And today, our cycle
time is measured in hours. We can cycle from concept through
to production in hours. And that means a road map that might
have taken, say, a whole year, we plan out a whole year road
map. That can be literally a week now. So this pace at which
we produce software is no longer a problem that we have
different challenges instead. But it's fundamentally
transformational in terms of what it means for our
business.
And how are your customers reacting to this? Can you talk to
that?
Yes, yes. Well, let me put that first in the context of
growth. So if I back to the end of last year, our growth was
running at about 12% per annum. To date, it's running at 23%
per annum. Our vision is that we'll double our revenues by
2029. I think I've also been told I'm sandbagging on that.
The interesting thing there is that growth. It's not driven
by going faster. It's driven by us asking a totally
different question, and that is, if we can go 50x faster
than what does that look like for our customers. So what
does 50x faster look like for our customers?
And for us, that meant we've literally rebuilt our product
from scratch. -- we've, in effect, reimagined what a new
category of product might be. If you think about our old
product, it was a system of record. You created
[indiscernible] updated, deleted data. Our new product is a
system of action. It thinks it predicts, it gives you
insights. It does a really clever stuff for you. So that
creates a huge value for our customers and with value comes
new price points doesn't it? And with that, we are driving
growth, and we're seeing the results of that already.
Andrew. So most people start with product when they think of
what's possible with AI. That's not where you chose. Why?
Well, we did. So we went to one of the Constellation peer
sessions back in May last year, so exactly a year ago. And
we were really educated about what the possibilities were
with -- so Click Dimensions, we're in marketing, which has
the opportunity as well as the negative side of being one of
the first areas that is affected by AI. It's really being
aggressively attacked. But I think if you can get through
it, then it creates fantastic company. So we wanted to look
at our product in a very different way.
Click Dimensions is a horizontal marketing automation
platform, and we wanted to create something which was
vertical. I'm very much the marketing rather than the
technology of marketing and technology, but I passionately
believe that AI is a fantastic thing, and I wanted to be
heavily involved in it. My background is very much in
business transformation. And I wanted to see if there was a
way that we could incorporate AI to transform businesses.
You have a lot of chat agents out there. And a lot of those
chat agents, they are designed to identify problems, but not
resolve problems. We had an incumbent ticketing system that
effectively did that. And I challenged myself and a handful
of people to go away and see if we could find a way of
improving that actually change this chat mechanism to being
a problem resolution system. So that was our challenge. The
great thing about Constellation as well, as you see there's
1,500 companies, you have lots of people that you can have
discussions with to actually find solutions.
We spoke to a lot of very large technology companies. We
spoke to a number of contractors that we used. And we also
spoke to a number of companies within Constellation, and we
found a company in Constellation that actually had some
experience of this who could actually help us drive this
forward. So we had conversations. We decided we wanted to
create a support agent that could resolve problems, but that
was not where we started.
Our first start point was creating a very simplistic
knowledge agent to be used by our support engineers to deal
with tickets. So when they're on the phone with a customer
they may have a question rather than having to go away to a
library to get information, they can put in a chat and get
the information, first of all, and that's what we start
with. What was key with that, though, is when you start
to digest knowledge or your databases, so it could be read
by AI. It is read in a very, very, very different way than
how a human is. It is binary. It's ones and zeros. So
therefore, you need to make sure that the agent can actually
pick up those key words so we can actually answer the
question properly.
So we started off with the knowledge, first of all. And then
secondly, we wanted to see if we could have a very fluid
interaction. So we created up a web agent as well. So it's
on our website. So you can go in there, you can ask
questions. And those are the first two things that we did.
And then we effectively consolidate together to create the
support agent. It took us about 4-weeks to do it after going
through those various steps. We launched it in January of
2026. And what we found was that with our customers'
interactions with this chat agent, conversational agent
rather than being a lookup agent, it was a problem
resolution agent. It effectively resolved 82% of all our
Tier 1 tickets that went through the chat agent, which is
fantastic.
But what's the most important thing is it allows us to
generate greater customer intimacy because, first, of all
means that our humans rather than having to waste time
dealing with Tier 1 tickets, they spend time focused on
doing Tier 2, Tier 3 tickets, which are the most important
thing, but also secondly, the time that it took for a
customer to actually get a problem resolved. When it's very
simplistic as well, rather than it taking potentially 4
hours because they go into this room, they ask a question
they get probably 4 or 5 different things that they could
potentially look at, which could potentially resolve the
problem rather than that happening, they could speak to the
chat agent straightaway in any language 24/7. So that is a
massive massive game changer. So that's -- that's our step
that we did. And then since then, we've gone on and created
a lot more agents throughout the organization, looking at
specific business problems or workflow problems that we've
had. So it's been a really incredible journey.
Now somebody told me that you name all of these agents. Can
you give us some of the names and explain to us like why did
you go through?
Yes, we do. We do. And it's not kind of arrogance on my
behalf. When you think about an agent and what an agent can
do, it's very important you get a yardstick of that
possibility. A human, a work person they have a role. They
have responsibilities. They have areas of responsibilities
and they have tasks that they need to do. So a human may be
doing 12, 14, 16 different tasks. You cannot have an agent
to replicate a human. An agent can take away one of those
tasks. So if you want to have an agent to be able to take
all these -- to these roles, you would need a lot of them.
And rather than having support agent #1 and support agent #2
and support agent #3, we decided to name them. So that was
the first thing was just kind of the number of agents that
you would need to have set up.
But also, we wanted to get adoption of the agent. In my
background, I've done offshoring set up technology
organizations in India, finance organizations in India, a
video conferencing business in Malaysia. And when that
happens, there's always an element of question from the
employees about stuff that has been offshore. So I wanted to
make sure that there was that accountability set up there
with people to be able to see it and adopt the agent. So
yes, we've all the agents names. They all have a team's
account. So rather than you having to go to some web page or
try to find it, you team them. You communicate with them
exactly as you would with any one else within Click
Dimensions. And I think that's the most important thing.
The other thing is as well is by giving the agent's names
you also have a human as a manager of them because, again
this is really vital when you set up agents it. If you set
up an agent and you leave it to its own devices, it will go
off. And over a period of time, it will go on a tangent. You
need to have a human manager who manages those agents all
the time. So by giving them a name and managing it, that's
the way we move forward with it. And again, also, they're in
our organizational chart as well as we've got absolute
transparency about where we have the agents. And that's
really driven things forward. Where we've now evolved is
we've set up agents. It was -- we just wanted to experiment
set of agents, where we're now going is we're taking the
next step, which is creating an AI aligned department, which
means that rather than having humans with a sprinkling of
agents to try to improve certain tasks and responsibilities
with it.
We've actually taken a very different way. We've taken a
step back and we said, if we did this from agentic point of
view, how would we set up with an agent and where will we
sprinkle in the humans. And the whole objective is to get
the efficiencies to give the greatest experience to our
customers and allowing our humans to spend the most time of
our customers as well to understand the problems to move
things forward. So that was the reason why -- but it's
working.
It's is a great example of, I think, just content of
rethinking and reimagining what you do, not just
incrementally improving. Greg, not to leave until the end.
Again, somebody told me that you like to break things.
So you spoke to my wife. Well, we don't break things
indiscriminately, right? But so as been mentioned before
Constellation gives us this enormous opportunity to network
with our peers. They are new things. I was at a center about
18 months ago, and we could see what was going on with AI.
And obviously, the concern is that there are three kids in
the garage, who are going to come disrupt our whole
business. And my thought was, well, why don't we go disrupt
their whole business? So we got some people together and I
say, hey, we're going to buy all the tools. We're going to
do AI, go forth and innovate.
And I think this is the part where I'm supposed to tell you
that I'm brilliant, and we delivered a ton of
innovation. I'm not and we didn't. But the great thing about
being part of Constellation is this enormous resource body
of peers and mentors that you can talk to. And one of the AI
mentors in the organization said, Greg, you got to break
something, right? Because it turns out for some subset of
employees, AI is kind of an existential crisis. If you built
your life around writing really elegant code the transition
to managing agents to write the code is a hard process. So
as a leader, I said, okay, look, I'm going to go find three
people in the organization who are early adopters, I'm going
to pull them out of their jobs, and I'm going to give them a
really hard business problem.
And in this case, we really needed to modernize our UI. And
I said, look, the current estimate using a digital processes
is this will take about 18 months and probably require 10
people. I'm giving you 3 people, and by the way, our user
conference is in 3 months. And they did it. It worked really
well. So as this was going on, we started to think, if we
can make our processes this much more efficient, what can we
do with our customers? So we started having -- and again
it's been mentioned before, this is deep domain expertise
right, really understanding what our customers do and how
they use our products, right? So we spend a lot of time with
customers saying, what are the things that you do that are
really difficult to take a lot -- a long amount of time, and
I was meeting with one customer and they actually set a stop
watch. And they said, let us take you through the process
for how we acquire, manage and retire assets, right?
And they went through all the screens, and it took about 8
minutes. And they said, no, Greg, understand. We do this
hundreds and hundreds of times a day. So what we kept
hearing from our customers was take these really complex
processes where I print a report and I go to a whiteboard
and I bring a bunch of people into meetings and then I go
back to the system and then I get another report, which may
take hours, weeks, months, right. Just automate that
process. let me validate at the end what that looks like.
And another great thing about what CSI has done is we had an
opportunity to send one of our employees to an AI
sabbatical, which is essentially where they got to go visit
with other companies that, frankly, we're doing a better job
than we were, right?
So one of my employees went out, did this sabbatical, came
back just really energized. I was able to build a core team
around. I mean as Mark mentioned, we've been doing these AI
accelerators, actually one going out at the airport right
now. There was one in Denver back in February, and we were
able to send a team to say, okay, look, here's what our
customers have asked for in terms of radical improvement of
processes and really substantial improvement in how we do
our jobs and how we'd be more efficient. By the way, it's
now February, user conference is still at the end of March.
I need a working prototype by that event. So we had the team
go to the end, start off cold. We brought in developers
product managers and even somebody from sales, 4 days at
this event, and they emerged with a working prototype. And
we took it to our customers.
And what was amazing is, again, because we really understood
how our customers use our products and what their pain
points were. When we took it to the user conference, the
reaction is overwhelming. In fact, the product lead sort of
had groups at the user conference that kind of followed him
around, right, asking more questions. And probably the
biggest proof point is when we presented this as a product
to one of customers, it effectively doubled their investment
with us.
I think we were talking about this last night, one of the
things that we've done very well is that we've carved out
focused time for our teams. And this isn't stuff that you
can do at the same time is the date -- you really and we've
already experienced that. And actually stacking the guys on
the
[indiscernible] cover for a few weeks and saying
"Here's a project get on and do it and don't worry about
everything else. That's been key to making this happen at
pace.
And what was your customer reaction to finish up -- the
customer reaction when you doubled the amount that they
spend with us per year.
I'm not sure I'm supposed to admit this in this meeting, but
they agreed a little too fast. I think we underpriced it.
I think you did for sure. Yes, I think you did. Sorry, I
just wanted for those in the audience, this -- Mark's talked
about it. I think actually the verticalization panel talked
about it. We're talking about it. Mark says that we're
different and we do things differently when this peer
learning and peer sharing and this customer intimacy sitting
with the customer and being understand what this process is
and how they do it. They only invite us in because of the
value that we bring and the relationship that spans decades
that we've built with them, right, the trust that we have
with them. And these are -- can call them intangible, but
they're very strong determinants, I think, of where we're
going to be able to continue to move with our solutions in
this case, leveraging AI, but just generally in terms of how
we interact with our customers.
So I wanted to -- the last thing I wanted to sort of talk
about was let's call it, the human change element. Impact
element. AI is more about people change. It is just about
technology. And you talk about taking -- stopping people
doing their day jobs, picking people out, locking them in a
closet. Sending them to always work -- this training, as
business unit leaders, like how are you dealing with this
reality of this probably one of the biggest changes that
we've actually seen one might say ever.
Yes. Well, I think it's architectural from the business
perspective. The problem of pace of software development
isn't the challenge anymore. For us, if we look at
go-to-market, then think about this week, we have 300
customers across the globe that use our software. We have a
deep level of trust, a warm relationship with these
customers we can -- we don't have to go and find them. We
don't have to persuade that we can go and have a meeting
with them any time we want. And from a go-to-market
perspective, that's the ultimate leverage that we have that
our competitors don't -- we can walk in the room and have
the conversation.
So our challenge today and what I'm currently working on the
team with is that if we can transform our customers at
this to this degree and at this pace. How do we do that at
scale? We're not used to doing that. We've had to rebuild
our sales team. So our sales team is, over the past 12
months, been rebuilt -- we're doing the same with our
services team, we're rebuilding that. But I've also given
them the challenge they currently take about 6 months to
take a customer from order to go live. The challenge they
have today that they're working on, we have a plan is to
reduce that not from 6 months to 6 weeks, but to reduce it
to 6 days. If I can get them from 6 months down to 6 days
then we can go at scale out to market with those
relationships that we have today. And that's huge leverage
isn't it, those warm relationships that decades of
conversations in many cases.
Andrew, would you...
I think that from a slightly different angle, I mean, AI
technology, yes, it's -- it has a massive accelerator on
that. I think when you're talking about the workplace, the
culture, the design, the evolution of how it's going to be I
very simplistically think that AI will take away into all
the boring stuff. It's going to be all the mundane business
processes that are absolutely necessary but are probably
parts of the jobs that most people don't really want to do.
So what you will do is you will enable your staff to be able
to evolve and develop and become rather than a Tier 1
support person they become a Tier 2 or Tier 3. So I think
that's definitely an evolution that will take place. But I
think also, the way I see AI as well is it's a great
magnifier if you know stuff, you will become better.
If you don't know stuff, you will be found out very quickly.
And I think that's the whole Constellation advantage as well
as we do have that customer intimacy. We do understand our
customers -- and therefore, we can give them advice about
how they could potentially improve as customers because we
have deep knowledge about the vertical industries that we're
in. And therefore, I feel that our ability to double down on
that generate more salespeople, be more focused on the
relationship side as well is going to allow us to evolve. So
AI will take away a lot of the mundane stuff, there'll be
more interesting roles and more opportunities for us to
create more salespeople to be able to have greater
conversations of our customers go, go grow. So I think
that's -- that will be -- how we evolve to be -- it will be
a, a much more interesting environment to be. And maybe we
go to a 4-day week, I don't know.
Actually
I had an employee. He said, "Look, if I use AI and
I'm twice as effective. Can I work half days? I said, no. My
answer is you can work any half day on, whatever, 12
hours you suite. So yes, first and foremost, this is a
change management problem, right? And I think we as leaders
need to understand that this generates some fear
interpretation in employees. And candidly, probably not
everybody is going to make the journey. I've had employees
say, "Hey, this isn't for me, this isn't what I want to do.
And we can be empathetic and we can respect that. But I
think we also have to be relentless because it's coming. I
think one of the real advantages of Constellation is just
all of these training opportunities and peer networking
opportunities we've talked about.
So my goal is to send as many people as I can to those so
they can build the enthusiasm and learn new ways of doing
business. And I think we're there with R&D. The question is
how does that affect sales? What do you do in finance? How
is marketing different, right? Same kind of things happening
in all these different events. And what I keep telling my
employees, and I think this is key to the management piece
because in the back of a lot of people's minds, there's a
belief, I'm going to train the AI to replace it, right? And
I'm very clear with my staff, look, this is not an economic
problem, at least not yet. This is about delivering
innovation to our customers faster. We don't have a
profitability problem. We're a profitable, successful
company. This is not about cost cutting, but we've got to be
able to innovate faster.
And it's been -- this is sort of a mantra with AI right now.
Your job is not getting replaced by AI. But you may be
replaced by somebody that uses AI better than you do. That's
the same thing for sure.
Well, thank you very much. I think Mark and I were talking a
little while ago. And I think we've always had a tremendous
sharing culture across Constellation. We all run events. We
all invite each other to our various events. But when it
comes to AI, the quantum leap that we've now taken in terms
of the quantum of sharing, not just inviting each other to
each other's events, but actually sharing learnings and
discoveries from business to business to business is at a
level that I've not seen before, which I think is absolutely
fantastic. It really is.
So what you've heard from our panel reinforces our belief in
customer intimacy. And this is really -- as I talked about
our belief in this value creation and value capture concept
this is what it looks like in the hands of great leaders. So
please join me in thanking Greg, Andrew and David. Thank
you, sir.
Okay. Thanks. Well, I was just great. I love that. That was
super fun to watch. A lot of people would ask you, Mark
like your job would be a lot easier if AI never came along.
And you can't remember -- like I'm a product developer by
background, I'm a programmer. And one of the things that I
always want to at Constellation was are leaders who have
been sort of running nice businesses, and they have very low
customer attrition, which continues, I was trying to shake
them up to go do more for their customers.
And you know what, it's a great tool for us because we're a
decentralized organization. it's another tool we can say to
sort of shift the organization up a bit, and you can sort of
see a few of our leaders are just doing a tremendous job.
And so appreciate Jeff doing that panel. It was great.
Great. So now I wanted to talk about
[indiscernible] a bit
because it's I'm getting a lot of questions about
[indiscernible], and here I just get on the forefront. I'm
sure I'm sure there'll be some questions on it till Larry
coming up in the panel and are in the Q&A section, I should
say.
But I just wanted to say, like 25 years ago, we -- we used
to buy minority stakes in public companies and put those
companies ended up being put into play. It generated
external high return. So I was there, I saw that on our
invested capital, -- but the average tenure of our
investments were very short. And nearly always 90% of the
time got outbid by a third party when the businesses were
sold, which is sort of sad but understandable. That
short-term activism was profitable, but it was a poor
strategic fit with our objective of being good permanent
holders of vertical market software businesses. So we
stopped doing it.
And I think you can hear from the conversation today, buy
and hold forever, we're in it for the long run, and
[indiscernible] is another tool. The other part of the
[indiscernible] thesis is that the companies we want to
invest in have the potential to benefit from an engaged
minority shareholder. We want our
[indiscernible] or public
portfolio companies to be run by people. We respect -- we
want their incentives aligned with those of long-term
shareholders. We like the businesses to generate high
returns on incremental invested capital, and to return any
excess capital to their shareholders. So I just wanted to
make sure everybody understood what our intention is around
PMS.
And I just also wanted to turn it out and say. We want you
to be our patents. We want you to be our permanent engaged
minority shareholders as well. Those of you who are
shareholders, and I want to thank everybody very much
for sitting through this morning session so far. And I was
going to turn it over to Larry to tell us what's ahead. So
thank you very much, Larry.
Yes. Thank you. Well, I just want to echo the remarks that
Jeff Bender expressed around the culture or a culture of
cultures across Constellation. I've been studying the
company and its culture of cultures for a decade, and I
shared Jeff sense that it's more valuable than ever, and
there's more cross collaboration and cross learnings. So I
want to echo the appreciation for Santina, David, Bill
Damian, Jeff, Greg, Andrew and David, those are 10 of the
1,500 leaders around here who are all energetic visionaries.
So I want to applaud that leadership.
We will take a break now. The next major event will be the
shareholder Q&A. We'll start that exactly at 10:30. We'll be
joined by most of the leading managers will have a panel
of 11, fielding questions that you all have submitted that
our panel of questioners myself and Will Pan from
[indiscernible] and Howard
[indiscernible] from
[ Fiera ]
received some 125 questions from you, all outstanding
questions. We synthesize them, coated them, organize them by
topic and we'll pose them serially here on the panel. Since
we're live this year, obviously, we'll also have Mike
stationed in the room and invite shareholders attending in
person to pose questions as well at various intervals that
will signal.
As I've bragged about, we have nearly 1,000 people online as
well today. So they're invited to type in questions. We've
already gotten a few. And Will, Howard and I will try to
weave those in as best we can, too. So looking forward to
that Q&A, we'll take a break now. It's about 10 a.m, so
we'll have an opportunity to network and have informal
conversations, but please come back a little ahead of 10:30
p.m so we can start promptly, and we'll run that session
straight up until 1:00 p.m lunch time. Thanks very much.
[Break]
Shareholder Q&A. We want to thank you very much again for
submitting such thoughtful and provocative in some cases
questions. Will, Howard and I have been playing this role
for 7 years now, I thought the questions were particularly
good. I don't know if you guys had a -- high quality. So
thank you very much for that, and it's neat to return in
person after 7 years of online only. And so it'd be
wonderful to have an opportunity to take questions from the
audience live.
We've got two mics there. We'll have a few different
opportunities. We're not just saving the audience questions
for the end. At various moments, we'll invite folks to come
and ask questions. Like you keeping brief on topic, really
get focus. You got 11 supremely talented leaders from across
Constellation here who are prepared to discuss our
questions. Again, you submitted them I don't think any of us
made up any questions. We'll might have -- or Howard might
have made up one or two. So to get started, may I, please
invite the panelists to just introduce themselves. Half of
them we're already on the stage this morning, but
nevertheless, it would be nice to just -- by name and role
at Constellation. Mark. We could start with you, not that
it's necessary at this point. But Mark Miller. President of
Constellation Software.
Yes. Thank you, Larry. And I just wanted to just quickly
point out that we haven't received any of the questions to
the management team here that a few Jamal got that were
required calculations, because we didn't want to bring his
calculator on stage. So he got a few of them, but we're
really going to make this a dynamic and what gets asked. So
was the tradition of Constellation.
Yes. Jamal Baksh, CFO of Constellation.
Bernie Anzarouth, CIO Constellation.
John Billowits, Board Chair of Constellation and
Board Members of Topicus.
Jeff Bender, responsible for the Harris Operating Group.
Mike
[indiscernible] responsible for the Valaris Group.
Damian McKay, responsible for the Vale Group.
Robin Van Poelje, Chairman and CEO topicus.com.
David Nyland, Lumine Group.
Bill Delaney, Modexa.
And Barry Simmons, Jonas Operating Group.
That's the all-star lineup, and I really believe that apply
describes these folks. The plan discussion is divided into 3
or 4 segments. The first segment will be questions arising
from the presentations you heard this morning from Mark
Miller on strategic vision, the panel on verticalization and
the panel on AI. And then we'll have our familiar 3
segments. First on operations; second, on M&A, third on
governance. And again, we'll break at moments to invite live
questions from the audience, and we'll monitor the chat to
consider questions sent to us. So with that, let's begin
with questions arising from the presentation this morning.
And we start with you, Will?
Sure. Yes. Thanks for the presentations. They were great One
of the big questions that we got asked was about AI
opportunities and threats and examples. And I think we've
got a lot of examples of companies inside the Constellation
Group, taking advantage of AI to accelerate things and
deliver value to customers. There are a lot of questions
about the Converse. So Andrew from Click Dimensions. He
mentioned that marketing software, for instance, is under
attack early by AI-enabled competition. So we have a number
of questions that ask, can you give other examples of CSI
businesses that have experienced more attrition due to
competition using AI?
We have -- we really -- like I can toss over to Jamal, but
we really haven't seen any AI specific attrition at any
point. I mean I think our businesses that experienced high
attrition already will probably be most under threat. But
luckily, that isn't a high percentage of our revenues. I
mean, Jamal, what's your thinking on that?
Yes, I look at about 900 of the businesses and look at
trending of organic growth, and I follow up with the
operating group CFOs, et cetera, if there's anything that
looks like an anomaly. And there are a couple of things that
might have been popped out and both of them had nothing to
do with AI. So that's my take.
Does anybody also want to add It's a big topic, Jeff
maybe you want to talk a bit about it the AI panel.
Like you said and Jamal said, there's no specific evidence
to date of any significant or material attrition as it
relates to AI. But I do believe it's coming, like I think --
like we see competitors that are out there. We hear of
people doing things. So I believe it's coming. We just
haven't had it yet. A lot of our verticals are fairly
protected and highly regulated or high compliance
requirements. I would just say they're not always the
fastest moving verticals when it comes to making new
decisions. And I think any AI-related solution causes them
concern. Like it causes them to pause and understand exactly
what is it that they're accepting right into their ecosystem
of systems. But I do think, right, like it will start
showing up -- it just hasn't it hasn't yet. Stay paranoid
right? Like always.
Maybe one also on that panel. I know Greg touched upon how
some customers are very excited to get their workflows
automated and helped with AI. But in any kind of vertical or
BAU, there's going to be customers that are at the far end
went end of the curve and the customers at the other end of
the curve, maybe those that are resistant to change. And if
you are kind of transforming your BUAs to maybe optimize for
those customers with AI. How do you also manage to service
the ones that are laggard? And how do you deal with that
that kind of dynamic of customers in different stages?
Well, like from an AI perspective, again, I was a developer.
I really -- because as we talk about having
[indiscernible]
relationships across the world, across all of our
customers, I look particularly for those laggard customers
which are generally the attrition rates are very low with
the laggard customers. So even they're very hard to capture
as new customers if a competitor has one of those customers.
So my hope would be we would use AI to expand our presence
inside that customer by adding more functionality, which I
would think as far as the customers that are adopting it
very quickly, I don't think we've seen a lot of that yet
other than hoping to add functionality, I think, for
example.
Andrew was up talking about Dimensions, that's in a
marketing space, which is a bit more horizontal than our
average businesses. And when you're in a -- it's a very high
attrition business by nature. So when you're in a business
like that moving fast and your customers being fast, you got
to move fast, too. It's still going to be -- it's just a
tougher business to run, and I appreciate that Andrew is all
over it. But most of our businesses really aren't like that
right?
So Bernie, I mean, like thoughts on...
Yes, that's correct. We have some businesses that are in
have high attrition. And so we deal with it as appropriate
but the bulk of our businesses are quite low. And the
spectrum of customers that want to adopt AI versus those
that don't. I mean, we'll take care of them equally. It's
just a matter of serving them with what they feel they need
to run their businesses more efficiently.
Changing user interface is a big deal for a lot of our
customers, like they don't want you to change their
workflows, their user interface, in many cases, right, which
means you could come along with a neat snazzy new solution.
But if it's working, it's a small percentage of their
operating costs or for what we do for them, we just want to
make sure it works, it's secure, their data is protected and
it gets done what it needs to do, which is what most of our
businesses deal with, right? I mean, does anybody want
anything to that, Mike?
Yes. I would say, I think it's really important to
understand that when we're out talking to customers, we're
not out talking to customers about AI per day? Like most of
the engagement with a client is you're talking to the
business users, and you're still focused on what is that
business problem we're trying to solve. So if AI ultimately
is embedded in the solution, that's not the opening
conversation, because the pace of technology, particularly
as it relates to AI, is moving very quickly, and we're often
engaging with clients that are not necessarily even familiar
with AI. So I think when we're out dialoguing we begin the
dialogue with what is the business challenge, how do we
think we can make you more efficient. So it's not led with
hey, we want to talk to you about AI. It's like we want to
talk to you about a business challenge you're facing does
that seem of interest to you. And as the conversation
progresses, we would certainly share with the customer where
we think could benefit them in that overall solution, but it
isn't we have this cool new AI thing we have. Do you want to
buy it. It's much more of a longer-term conversation based
on how we've been working with that client for years or
decades.
Yes. So if I think about businesses across the board, you
lose customers for sort of for for ways, you lose them
because they go to business, which happens in some
industries. They get acquired by a larger customer. And so
hopefully, it's our customer kind of the big fish eat the
small fish sometimes, right? You could lose them for price
where someone comes and says, "Hey, we'll do the same thing
you do for what a Constellation company does for half the
price. We don't tend to lose them for that. I mean Andrew
might see that in a high attrition, high-churn business.
Where you really lose customers as when there's some
functionality that your competitor has that you don't have.
And I think -- and as Mike said, it's not AI per se. It's
that ability to do something that really matters to that
customer where they're actually going to go through the the
pain of switching. And it's a shame when our businesses
haven't foreseen that happening, and they haven't gone and
put ourselves in a position where it's an obvious decision
to stay with us as their vendor. And that's how I sort of
see it.
Well, another question that arises from this morning's
presentation, but was anticipated by someone who submitted
this question earlier, concerns efforts to disrupt one's own
business. David reported on doing this this morning. And so
I'd love to hear from volunteers on the panel an answer to
whether any CSI business units have tried to disrupt
themselves or disrupt another business by using AI to start
from scratch, all new code but using their industry and
business workflow knowledge. Anyone want to comment.
I don't do know, maybe, Rob, do you want to take that one? I
think.
Yes. So I think it's easily said, I'm going to disrupt my
own business and what you have with people working in the
business in the existing business, I think that requires
some change as well. So you might organize it outside of it.
But there are, of course, businesses where you already had
for a longer period of time, the idea that we should step up
our game and we should do more. and those kind of businesses
might be an ideal situation to really try to disrupt
yourself. And so we try to analyze in our portfolio our
strong businesses and also our weaker businesses. We try to
win with our excellent businesses, but there are also
business where we think, hey, we could disrupt ourselves and
really try to make a quantum leap into the future. That's
what we try to do. But again, that's not all over the place.
It's easier said than done, but we try selectively to do
that.
Yes. Anybody got an example where they've tried to displace
themselves entirely and been a material business inside of
your operating groups?
We're working on one. So we're definitely doing it. We
haven't done it yet. We've got the product out there. It's
probably got maybe 15 to 20 clients so far. Still a long way
to go, but we're active doing it. So we've used AI a lot to
rebuild the product and are going after ourselves. And so
it's in process, but it's early days.
I think Jeff really pointed out well in the -- in his panel
about what people don't understand is the customer
relationship is very, very important. Having a product and
selling that product are two different things. like having
to get -- you could have the best product, and I talked
about like it would be great if it is something that the
competitors didn't do. But selling hasn't changed. You've
still got to get out there. You've got to convince whoever
you're selling to, especially a new logo, a new customer
that you are a good opportunity. It's a good opportunity for
them to buy a product. And -- that hasn't changed.
In fact, in some industries, I mean, Bill, I remember who
was talking about an event you did Hamburg. So one of the
you got to do a keynote at that, and you said, one of your
messages was what, Bill?
So they're asking us about the pace of change from an
innovation perspective. And we looked at the research, and
it was clear that innovation cycles were compressing
right? From months to weeks and soon to be days. And I
looked around the room and I said, but what's happening with
procurement cycles. Now we deal with large government
procurements that have -- it takes multiple years for a
procurement even to come to tender, then they run the tender
process, you do a multiyear project and then you have 10
years of maintenance. Those procurement cycles and
government are getting even longer.
So we've got this dichotomy of extended procurement cycles
compressing innovation cycles. The elements of those tenders
that really people should have a look at there's elements
around product capability and functionality and -- but then
most of the scoring goes to your experience, your ability to
contract on the heavy-duty terms that they're putting
forward -- and they need somebody to take liability, right?
Governments like to shift risk -- so you have to have
capacity to take liability that might be through accepting
LDs if we don't perform, posting bonds or guarantees. You've
got to have a scale on our capacity to do that. And these
are so many elements of what our customers at least look
for, Mark, when buying them?
I think so. And what we're very fortunate at Constellation
because we've learned to deploy our shareholders' capital
high returns. And we've acquired a lot of logos over the 3
decades of Constellation. And those aren't easily done
because I've done that when we were in the early days of our
company as a startup, we started in the late '80s. Getting
customers is so hard. You got to work really hard on it. I
think a really interesting industry is telecom, though with
David because there's such a rapidly, you'd say, telecom
changes rapidly, right? David, and you've got -- what are
those customers like with this particular question.
Microphone is working, right? So well, they're inherently
conservative. They've been through a lot of technology life
cycles. They're bruised and they're fatigued. And their pace
of change is subject to regulation and subject to lots of
big complex platforms that are highly integrated. So when we
talk to those customers about AI, it's enabling math
functions like we do a lot with fraud and revenue insurance
and how can we apply new math functions to determine
faster we have a lot of agents already. We use a lot of
machine learning in a number of our products. We have
agents, how can those agents become smarter. So if you look
at the telecom stack from the top, we integrate with
customers, their customers in the bottom of its networks is
like delivering TV, delivering signaling security in the
network.
So the closer you go to the network, the more conservative
things are in terms of making change. But if we talk to
them, they want the total cost of ownership to come down. So
they want the operations administration, the configuration
management, maintenance of integration and new feature
developments, particularly with math functions or
agents. That's what they want. And we're laser-focused on
solving those problems because their platforms just don't go
through -- it takes -- we heard from months to days. So
we're trying to get them from 3-year cycles down to 1-year
cycles, down to maybe 6-month cycles because of the
regression testing because of the regulatory testing
security testing, so if we can get them down to 6 -- months
that will be a great achievement using AI, and we kind of
look forward to that.
Getting new logos in your space is really hard. right
Dave you mean like big clients?
We mainly get new logos through acquisitions right? It's
very hard to go into a large media or telco business and
become a new vendor. They want less hurdle. They want
consolidation. And if there's something risky in the
environment that they're going to want us to do it. They're
not going to want some new name company that they don't
know. So they will always give us the first chance, so we
can move quick, we should be able to capture that business.
I just want to make the point that even though we have long
procurement like, that does not give us the license to sit
on our hands. So we are moving quickly to use that time to
build out the value -- increase the value that we provide.
I want to alert the audience that after we'll ask the next
question about this morning's panel, we'd invite audience
questions from this morning's presentations, too. So if you
want to think about your question and begin to line up.
We'll take those questions after Will's next question.
I have a quick one about the verticalization. How is CSI
approaching subgroup verticalization when BUs in the same
vertical are in different operating groups?
We had -- yes, I mean, we're discussing that on an ongoing
basis. And one of the reasons we want to highlight verticals
is in some cases, we think our verticals should work closer
together and but we're doing -- evaluating that on a
case-by-case basis. And the whole team here is involved in
that. So yes, we're going to continue to evolve our
verticals and get deeper where it make sense. But
ultimately, our business units are the -- are what really
drives our success. So we'll cautiously think through that.
So anyone else want to comment on that concept?
It's quiet. I think we said enough on that for today.
We'd love to have a question from the shareholders present
here today. And so why don't you take it, the first one?
Joseph Spastik for Rainwater Equity. A question on the cost
of investing in AI and how you guys are thinking about that.
Obviously, tokens are not cheap, and investment in your
time, your team's time and all these efforts is as well. I
just think about getting returns on that over time? And then
if appropriate, I'd love to ask a question on M&A.
It's a great question. Jeff, do you want to take that?
Yes, sure. I mean obviously, we're measuring all of the
investments that we're making in AI. Obviously, the token
costs from Frontier models is a large part of that cost. But
we're using all kinds of other AI tools and changing them
out on a regular basis as better ones come along. So I would
say there's a lot more going on there than I would say we
would typically see. So I think -- we're monitoring it.
We're watching it. Right
now, it's not having any super negative margin impact on the
overall business in terms of the way that -- or what we're
seeing. So I mean I'm still concerned about what we the
token costs. I do think it's -- if you see even what the
vendors are currently doing, they're constantly changing the
plans or constantly offering you max plans that aren't
really max, because right once you hit a certain limit, you
had to either wait or pay more. So there's going to be a lot
of evolution there. So I think we just have to understand
what -- but at the end of the day, we can't provide a
solution to a customer that doesn't have an ROI. So I think
that will be the baseline of what we'll determine what we
can or can't do.
Damian, do you want to comment on it too you had a meeting
with a hyperscaler yesterday.
So we're measuring it, so you can't improve it, if you can't
measure it. I don't know if you can measure all of AI's
benefits at the moment. So we understand there is a sort of
an up-skilling. But we're keeping a close eye on making sure
that we're looking at what impact it can bring for customers
and how quickly that can happen. Looking at the actual cost
per business, how much we're spending, who's spending what?
And then I want to look at the return from, is it helping us
grow? How does it feed into organic growth and deliver those
outcomes that customers need, or if there's productivity
improvements, how do we measure that as well.
So I think if we think about the -- at the raw element to
look at it, it could be net revenue per head if AI
is producing, then we should be able to do more with the
people we've got more value to customers and getting or
winning more customers using AI. So that's a base model, but
we're also evaluating a few more metrics that we're going to
use and try to understand. It's not all going to be captured
at this point.
It's all -- remember, we measure -- these are decentralized
we measure everything at the business unit level. And we
want to -- we'll understand who is overspending on that
which we've seen that happen with initiatives in organic
growth before. We've invested a whole bunch of money
building something new and returns on that were terrible
and -- and so we need to -- we'll keep an eye on it. And
we'll see who's doing it well and who isn't. And we'll try
to do our best to manage the costs using a little bit of
central pressure on some of the large companies who are
providing these to when we can. But ultimately, the business
units will own the investment
[indiscernible].
Thank you, Mark, and Damian, for the question. Let's turn to
the middle aisle for question number two.
Thank you Alex
[indiscernible] shareholder.
Shareholder I met
yesterday in the elevator.
Wearing my collard shirt for you. No tie. Great presentation
today. Actually perfect follow-on, to the previous question
which is about AI costs and your response right now with
respect to the metrics. Latest quarter after you guys, I
think, have had a lot of progress in some of the business
units, as you talked about this morning and driving some
initiatives that are AI-based that generate some
revenue. But the latest quarter is sort of consistent with
the previous trend. What do you think is the time line for
actually starting to see at the aggregate CSI-level metrics
on the top line that are going to reflect the success that
you...
Love to see more organic growth. I'd love it to be yesterday
in a pen of AI, but it's really hard for me to predict that
Alex, like it's really hard for us to suggest when that's
going to happen. And -- we're just -- we haven't seen a lot
of loss of revenues from AI or any, but I haven't also seen
a lot of new revenues from AI as well. So we're just
being we're just being -- we're just trying to drive
adoption of the usage of it, and we'll monitor it
internally. But I'm I'm not signing up to a time when we can
suggest there will be an impact on our revenues from a
growth perspective.
But believe me, the pressure will be on our business leaders
to do better and to continue to grow as much as they can --
and obviously, incrementally, can take good returns on the
dollars we're spending or euros or Swiss francs on doing
those investments.
Maybe if I could ask just a quick follow-on on that. Given
that there were, for example, some costs related to tokens
this quarter, that was reflected in the maintenance cost
line. Presumably, there's some costs related to development.
Are we covering our costs or more than covering our costs
with respect to the AI investments right now in the P&L
putting aside what you'd expect going forward?
Look, yes, it wasn't a material increase in that COGS line
that. yes, I would believe that, yes, we're probably
outpacing revenue with cost today because we're investing a
lot. But it's not a material impact on margins. I think you
said a minor impact, but yes, I would leave that.
Thank you Alex. Let's take one more audience question in
this segment before returning to Will. Sir?
2. Question Answer
Thanks so much. My name is Ryan Floyd from Barca Capital.
Thanks, everybody, for putting on this nice event. It's
wonderful. We appreciate the candid transparency. My
question is for Robin. Nice to see you. Topicus made an
acquisition or TSS did in Indonesia, which is really
interesting. And they have operations elsewhere in East
Asia? It would be great to hear about what that experience
has been like, lessons learned from it. It looks like public
information. You've been looking at other opportunities in
East Asia. It would be great to hear what -- to the extent
you can speak about it, the pipeline would look like, but
also just in general about what the lessons from that have
been?
Yes. So historically, we were predominantly focused on
Europe. -- but we slowly but surely move out of Europe as
well. This is Indonesia is an example of it. And we might
disclose some more in the near future. But we do it
selectively. We do it step by step. No other approach than
in, let's say, European or North American countries. So
that's, in general, the philosophy.
And what we learned, and that's what we already knew within
Constellation is if I have to fly from Amsterdam to
Helsinki, it's probably 3 hours or to Portugal it's 3 hours
and to Jakarta, it's 14 hours. So it consumes time. Of
course, in the plane, you can work and think. But that's one
thing. So you have to go over there. And what we found out
is that with certain things, difference in culture which we
already knew because that's in Europe the case as well. But
there is even -- we are a
[indiscernible]. This is
implemented, it differs and also differs the local
management you have. I don't think that's always related to
culture or the country. Sometimes you get lucky with an
acquisition with great people. And sometimes, you don't have
that, and you have to implement changes. So in a sense, it's
not different than what we've been doing.
It's only some cultural aspects, and traveling and all that
kind of stuff, but we're committed to continue on that
Path. So it's not just for thing. But of course, we take the
Learnings into account. But I'll expect us to do more there. Thank you, Robin, and...
Thank you very much.
Ryan, I appreciate that. Let's return to the panel. pivot into operations. AI will obviously percolate some more, but Will has received some very interesting questions about operations.
Yes. So this section is really specifically about the risks and opportunities of AI in current operations. We already talked about this a little bit, but one of the follow-ons to the question about AI-enabled competitors is AI-enabled customers. Have you seen any instances where your customers may have an appetite to write their own core system using AI tools or failing that modules, right? Are they perhaps -- do they perhaps have less appetite to buy modules from your companies because they can write some of these extensions or small things themselves?
Have we seen any of that?
We've not seen any yet.
We used to have -- and we still do have software that's installed on like mainframes, AS400s, and we always have to place the code out there and some customers would have their own professional services people developing on that code because they thought it was cheaper than buying it from us. But what happens is a few developers leave and they call you up and say, hey, we've modified the software and we probably need some help making it work again. So I think we will see customers develop things, and they will. Some will have IT departments that do, and that's okay. And we hope we'll still be the trusted partner to make sure that it works and isn't messing up someone's health care data that Santina has to worry about one of our businesses.
But we haven't heard anything.
We've also gotten a lot of questions, and we've heard a little bit from panelists here and there about maybe tiering the businesses, right, thinking about strong businesses, weak businesses, especially as it -- perhaps as it pertains to AI. And so are these sorts of portfolio classification exercises and ratings typically at the BU level? Is it at the Constellation level? And can you talk a little bit more about specifically what you're thinking about and looking at?
No, at the Constellation level, I'm just -- we're sort of looking at how the tools are being adopted across the world. But like I honestly don't really like to tier businesses. Some of our operating group leaders here might do that in some ways. I think our weak businesses will continue to be weak, and we hope we get better leaders in them and make them stronger, and our strong businesses will continue to be to be strong.
So I think -- and that's -- we measure that on a financial performance basis at the business unit level. And in the end, that's what matters. It's -- you can get good returns on the incremental capital you deploy on either organic growth or incremental acquisitions that you do in that particular area. So I'm not a big fan of ranking businesses from an AI threat perspective personally. I think the same applies independent of AI, whether the business was strong or weak, I don't know. But this crew might disagree with me.
This is the wonderful thing about Constellation. We're allowed to differ and do our own thing. So at the [ Baxter, ] we have built a vulnerability assessment tool, not so much to tier them in terms of bad or good, but to really understand where they sit from a vulnerability perspective. And we're using that to determine how we approach the investment going forward. So we have a lot of businesses that are fortresses. That doesn't mean we won't be spending money on AI, but it changes the way we think about exploiting that strength and doubling down on it as opposed to some other businesses that may be more vulnerable, which may need a different type of investment. So usually have to think about -- it's not a cookie-cutter approach to how we approach the investment. So it's a guide, and that's the way we've adopted it.
It's a qualitative assessment. Like it's qualitative, which I don't love qualitative measurements. They're like figure skating judgment. So I prefer organic growth and return on invested capital and numbers that you can really wrap your heads around because those you can trust.
Swimming or track.
Yes. I'm just saying. But I'm not saying anybody shouldn't do that if they feel they do that. I think your weak businesses will continue to be weak if they're not led by the right leaders.
Great. How are you adapting to AI agents becoming or potentially becoming a part of your user base? Do you have requests, for instance, for MCP access to your software? And how do you potentially counter revenue loss from the advent of agentic software use if it threaten sales of seats?
Who wants to take that one? It's a fun one.
I can start with the pricing side of things. So we've been talking a lot about how you deal with pricing because, again, ideally, you don't want to price on seats in a lot of verticals, but you acquire a lot of businesses as we do and you inherit the pricing models that you get and you have to be thinking through that. So we've been doing a lot of thinking about in this new world, if we start displacing seats using AI in our customers, then we have to have a pricing model to make sure that it's more of an enterprise or value-sold type of situation. So we've been spending a lot of time thinking about that and where it's relevant in our business is implementing that. So -- but it's something we're very, very cautious of because, again, like you said, you could end up eating yourself from a cannibalization of seats perspective. So...
You have your user-based pricing.
Yes. And we -- unfortunately, I know we don't love it in Constellation, but we inherit it all of a sudden.
Yes. And it's hard to change those contracts.
Absolutely you can't sometimes because they're 3-year, 4-year contracts and you can't change them, right? But you got to think about it and be proactive and work on how you can change them.
Damian, thoughts on that at all? I nod any thoughts or...
No. No need. They've got lots of questions.
No need. So we just implemented a dashboard at Harris, and that is one of the metrics that we're trying to track. I would say when I look at it, I would say that was maybe one of the areas that the businesses are just struggling to figure out. So we've asked them to basically let us know if other people are accessing our system of record, how many API calls they're making, who -- what organizations or what vendors are making these calls and whether they're just reading or whether they're writing back information.
But I would say I don't know that our businesses have always thought about it that way. And depending on what vertical you're in, like you need to make that data available for other vendors, like health care specifically, right? In a lot of cases, we have to make that data available. So I think we're trying to understand what to do with that. So I think we're just in the early stages, but we're trying to track it and to measure it.
Similar question. Other prominent software vendors have talked about monetizing API access to data or semantics house in their systems. Is that something that you would consider?
We do that sometimes, some of our businesses do that, have done that for decades, but I do love that. So where it's possible, but it isn't always possible. So I don't know I would. Any comments on that? I love the concept of it. So...
We work in complex ecosystems, right? We've been interacting with third-party systems for a long time. And wherever possible, we monetize it.
Great. One last question, specifically to David Nyland. Are most of Lumine's customers on-prem? And what does this mean for AI adoption rates?
Yes. I mean most of the customers are either on-prem or they have our own personal cloud. And a lot of our customers think or believe and they actually are technology companies themselves, right? So it doesn't mean our systems are not cloud native. So they need to be cloud native for DevOps and for any innovation rhythm. So it's generally cloud-native architecture, but often deployed on bare metal because they own a lot of bare metal or in their own private cloud. They're very reluctant to do processing, core processing in the public domain.
Now if the World Cup's on and we're streaming video for Sky TV in the U.K., for example, and let's just say England make it through to the semifinals, which, then we have to burst traffic above capacity, and that will be in the cloud. So using compute power wisely when it makes sense is definitely what our customers do. But generally speaking, it's on-prem.
I'd hold off making that order just yet.
Do you think it affects your customers' willingness to adopt AI?
Well, it's been -- the ability to adopt cloud native. So 94% of our revenue comes from Tier 1 customers, right? So think about that profile. So it's hard to get them from on-prem to cloud native, even on-prem cloud native or on-prem private cloud. That's a big architecture shift, and we're still in the 10-year-old journey of getting them up to cloud native.
So agentic AI native will take time in the Tier 1s. That 8 -- 6% of our customers that are not Tier 1s, they'll get them much, much quicker to agentic AI architecture. But getting major platforms upgraded in Tier 1s to -- it will be a 4 or 5. They want to see other people do it first. They want to see stuff that's secure, passes regulatory control. And where they understand this total cost of ownership, the tokens discussion, they want to understand total cost of ownership really well before they make any platform moves. But it will happen, but it's going to be over the next 5 to 10 years.
It's tera, tera, tera, terabytes of data, right?
Dave, like...
Yes. Uncomprehensible, the amount of data.
Millions, if not billions of real-time transactions. crazy.
Yes.
Great. That's my section.
All right. So I've got the next fun section of how CSU's culture and operations and incentives interact with AI. So the first one I have is a prominent U.S. business person recently said in a podcast that the majority of SMBs don't understand AI.
So in light of that, shouldn't Constellation revise its performance incentive model to prioritize organic growth over acquired growth in order to spur subsidiaries to develop new AI offerings? And we've seen some examples of that, of course. But I guess this questioner is asking, should there be a little more priority focus on organic versus acquired growth depending on the vertical.
This is a great question for John Billowits. You got to get them to say something.
I was half asleep was...
I heard operations.
If you don't mind, John. That one...
I'll talk about -- a bit about the compensation plan, which I think everyone is familiar with. I mean the core of the plan, which everyone up here would be on, would be return on invested capital, and then there's a growth element to that plan.
When you get down beneath these individuals, and they can elaborate on this, there are various plans within Constellation. And almost everyone running an actual business is only rewarded on organic growth. So if you're running a business unit with 50 people, you have always been and you probably always will be compensated based on organic growth. It doesn't really come into your thinking that much the acquired growth for the most part.
However, that being said, there have been some changes made over the last year to encourage more organic growth. It was implemented last year at a few of our businesses as a trial. And then another large business group this year also put it in place. And effectively, it's a kicker for just organic growth, not only at the business unit level, but also at the portfolio leader level. So to answer the question, yes, there are changes being made on an experimental basis, and people will wait and see if that has any impact.
How have the experiments gone so far?
Damian and then Robin.
Organic growth, there's a lot of opportunities, and it's really -- I think particularly within the context of dynamic competition and potentially AI, it's how do we add more value and being able to win more names. So getting the attention on that to be in a position, putting the incentives that will actually drive the focus on organic growth and then having a strong focus within organic growth on new names or increased value, increased usage within existing customers.
So focusing that, I think we've had some great traction. Some businesses and portfolios are just more better positioned to grow organically. Sometimes we make investments that we know -- deliberately know that won't grow, but we've got some really strong portfolios and businesses that are very tuned into organic growth.
Yes. I always think organic growth acquisitive growth. I like them both. So that's important. It's always what this or that. And it depends, but we like them both. And I think solid businesses also show organic growth. So when we did the spinout together with Topicus, and they all historically had very strong organic growth. They had development capabilities and abilities. They developed lots of new products, new clients. So we didn't want to saturate and kill that with a typical TSS approach.
So they are a stand-alone operating group company. They remain focused on organic growth, and we bake that into the incentive system. So we still have the CSI incentive system, but solidly focused on organic growth. They do, by the way, acquisitions as well. But just to give an example, and that's where Jim was referring to, it's something we implemented and we are evaluating and see what does it mean. So I think that's great about Constellation as well to do those experiments also in incentive structures.
Great. And then maybe at the portfolio level, have any managers seen any portfolio shift under KYC, shift capital to organic incentives versus acquisitions due to AI opportunities. So have you seen kind of slight redeployment out of acquisitions and into reinvesting back in the business?
I think I imagine we all have, and it's something that we want to be doing initiatives and tracking those to make sure that they've got clear business cases. But when you change the incentives and you give a bigger carrot for organic growth, that's going to drive -- that drives the focus on that. And then we have to -- as leaders and the leaders within the autonomous business units, they need to be encouraging that sort of behavior and the incentives help them as well.
There's nothing like personal wealth destruction to drive focus. I'm a member of the HR Committee.
That was why KYC was put in the first, right? It was an amazing tool to change your behavior, right? So yes, that's very helpful.
Another question on incentives. So conversely, this shareholder is asking, could your incentives discourage long-term shifts towards AI. So for example, has the Board or management looked at how a bonus formula based on ROIC plus organic growth performs under structural organic pressure? So by that, they mean could be you just look for onetime cost takeouts from AI as in replacing employees, but trying to [ obtuse ] ROIC but not really grow for the long term?
We will obviously be monitoring that. If we see that happening, we'll adjust accordingly. So yes, either way, if they can increase their net revenues per person, that's always a wonderful metric to use, whether that's for growing the top line or figuring smarter ways to use the team. But yes, so I think we'll just monitor and see if we see any extraordinary things happening, but we haven't seen that as of yet.
We measured close in quarters, but we don't think on quarters. So the long-term thinking. And if you look at the people that you've seen on state, people have been around the company for a long time, the people that come in with acquisitions stay for a long time. And that buy-and-hold mentality sort of -- I think it's an advantage for us where we don't have the short-termism that we're going to just strip it out and try to make a quick bonus and move on. We do think long term, and we take the ownership of the businesses very serious. There's a lot of pride in the returns of the business and the long-term returns as well.
And the average tenure of the team up here is like in the high teens, right? Like it's a pretty amazing group of people. And they've been on this incentive program for a long time and have seen a lot of different things happen in our businesses. It had some really tremendous successes, and we've also had some failures, and we're just trying to learn from those.
I think maybe one thing on organic growth that's important to understand across all of our business unit leaders, they want to be growing their business. So they're not thinking, oh, I just want to maximize my return. They want to grow their business. And I would say in the last year, as we've really leaned much more into AI, when you're in these events, when you're watching the leaders of these businesses see the way that they can pivot and respond to challenges they face with their customers for a long period of time, they get very enthusiastic and excited and they want to double down and try and find new ways to solve those problems.
So we don't have the proof points to say that this is converted into meaningful revenue. But I would say you can see the strong desire to -- I know I have a problem I've been wanting to fix for a long time. I now see a path to being able to do that. So I do think that it's important to recognize these leaders are trying to be more meaningful. They're trying to do what they can to solve the business problems. And I think, yes, compensation is one element of it for sure. But I think there's a lot of opportunity that they're seeing to address customer challenges in a new way and to increase the level of satisfaction.
And on that, we've heard some metrics maybe thrown out revenue per head. And are there any kind of other metrics regarding AI disruption that you might feel comfortable sharing, churn rates, win-loss metrics pipeline? And are there any KPIs you've added or changed to the operating ratios in light of AI?
I don't think so. No. I think it's business as usual from a metric perspective and be paranoid. Go ahead, Damian.
Agree. And just on net revenue per head, it's really -- it should be -- it's looked at the business unit level because we're -- as you saw in the video, there's a constant.
It's very hard to track essentially.
New people coming in. But when we consider that, we're really looking at the micro level and into each business unit.
So before you ask your last question, I'd like to queue the audience that after Howard's next question, we return to the microphone. So if you can think about a question and go to the mics in a minute, we'll welcome your contributions. Howard.
Thanks, Larry. So last one here, really a lot of benefits of decentralization, and I subscribe to that, too. But one -- this shareholder asks, at what point does the lack of a centralized AI capability become a disadvantage, for instance, negotiating enterprise-wide partnerships with hyperscalers or large language model providers so you have that scale? And have you considered a hybrid approach because of the [indiscernible]?
Yes, we will -- we are -- like ourselves, the couple of dozen people at Constellation will definitely speak to them about -- I would -- I guess you'd say sort of structures that we could use that to our advantage. We don't like to do that. But when it makes sense, we'll do that. We've all -- so for sure. I mean, anything you want to add to that Jamal or Bernie or...
So we take advantage of our scale. So we do have relationship -- I've been talking to Microsoft, Amazon or AWS for years, right? And now they are entered their contracts with them, so we can get better pricing, but we do not then force our business units to utilize it. They can access it if they need to. So we have -- I think we do have the best of both worlds. We can still take advantage of our purchasing power.
So one of the real advantages is we can get the really good engineers out to hang out with our business units. And that's hard to do if you're a business outside of Constellation. It's a stand-alone business that's -- and you think of our businesses, like -- I mean, maybe that didn't come across in the presentation today. But if you look at the -- I won't quote any numbers, the average business unit size, the median business units, these are small businesses, right? There's dozens of employees in those businesses.
And the ability for us to get a terrific engineer from one of these hyperscalers to sit down with the head of that business, the head of development for that business. And I saw it yesterday, I was sitting at the table with a group of people who are developing some product that was an agent actually, and I won't tell you say what business. And I thought one of the actual people from the hyperscalers is one of our employees and said, hi, who are you? And it was kind of like it was fun to see that because that's where, I think, our scale helps us the most is and we appreciate all of their help.
And we're happy to pick up the phone and say, hey, we need someone to help us with this. where it's harder to do if you're a $5 million business in Cincinnati, Ohio, and you've got some customers who want to move. So that's where our scale helps us a little bit. But you go to make those calls as infrequent as possible. These are pretty -- we don't have a big head office sitting around waiting for -- to -- yes [indiscernible].
It's happening at the portfolio level, right, and at the operating group level. So they're certainly trying to take the load for our businesses and give them some help and -- so they all have to learn how to ride the bike by themselves. Interestingly, we're starting to see it in M&A conversations where targets have realized that they can't do this by themselves, and they're looking for the help from somebody like us to join the family and get that type of help.
Thank you, Bill. Let's turn now to question #4 on that side of the room from another shareholder.
My name is Ashwin Anamalai. I'm from Waterloo. I'm a relatively new shareholder to Constellation. I usually only stick with index funds. I'm like a huge index person. But thanks to the great discount that Constellation is offering right now, folks like me, we are able to be a shareholder. So it's not just me, I ask all my friends to buy their shares. Everyone is here. So thank you so much.
Are you our first one?
So this is my first shareholder meeting here. And well, Mr. Miller, please don't do any buybacks yet, no more trying to get to the S&P 500. Just give it a few more years and then we will get there.
Stick with us, please.
So what made me change my mind is that in Waterloo, there was a hackathon called Anhackathon that was organized for university students where they were like businesses come with their problems, use AI and solve our problems. Like this is amazing. So with the help of AI with Claude and all these tools, they should be able to solve all these problems. So you know what, they did manage to solve the problems. But at the end of it all, 0, 0 solutions were deployed for the business.
Is it hard to sell?
And that's when -- it was the lightbulb moment for me. And I was like, yes, building code is one part of the solution, but having the ownership and the trust is really important. The very next day, like started buying Constellation.
Let's still startups, right? It's [indiscernible]
So like you can build something great. I'm a developer, and you could build something that -- and it's really actually very useful, but success is not judged on your ability to develop products. Success is judged on your ability to go out and convince the customers that they want to use your product.
And honestly, like over the years, I'm sure all the team up here felt it, there's products that we've built that made a ton of sense, but it took so long to penetrate that, yes, the returns on it are -- it's a difficult thing to do. So thank you for that.
Like we didn't actually ask for you to say that.
And they're doing a hackathon.
Like that's essentially what they're doing up near the airport now. We've got our own hackathon. There's 160 people there, and they were up doing pizza and Red Bull last night or what have you. And they're trying to do that, too. But they've got to go convince their customers that they need this. And we've got, as Jeff said, a great relationship. And it's still hard, right, Jeff?
For sure.
Like it's still hard. So I don't know if we answered your question.
What is your question? So...
AI has improved productivity a lot, and we are seeing large-scale tech layoffs. Are we going to see the same in Constellation?
Who wants to take...
No one's jumping in.
I don't see us doing large-scale layoffs. No, not at the moment. We're so focused on how to leverage this capacity because what you want to understand is we just have an enormous backlog of our customers wanting us to do things for them. Some of those things that just didn't make business sense now do make business sense. So I think as I said earlier, maybe not everybody is going to come for the ride with us, but thinking about large-scale layoffs is not on certainly our mind.
I never discussed it with anybody here, by the way.
Comment. I don't know if you.
Yes, I was going to just add to what Bill was saying. One of the things I say a lot within the Jones organization, it's a phrase that my team knows very well. And I do the hypothetical, if the business gods came down from above and said, "Barry, here's the deal for you. You will never ever, ever win another customer again in Jonas' history. But at the same time, you will never ever, ever lose a customer that you currently have in the Jones organization. Would you take that deal?" And I say 150%, I would take that deal because there's so much more we can do for our customers.
And AI just makes it so much easier. And Mark talked a lot about it today with customer intimacy. If we get this right, the Utopia grid is massive. And so we don't need it. I mean, don't be I want both. I want new name customers, too, but the opportunity is huge. So that's how I think about it. If you think about that, you need more employees, you don't need less employees.
Such a great answer. Like I tried to convince one of our business leaders of that once like we bought this company in Switzerland. And I was like, you never need to get a customer because they always blew their brains out implementing large new systems. And believe me, it depends on our business. So don't take this across concept.
But it was like, honestly, like you should just build more things for your existing customers, and that would be a great business. And your customers would actually care more about you because you're actually listening to them and solving them rather than running to the next building to like try to pitch something to someone new. And you put all your smart people sometimes on those new things. So that's a really great point, Barry.
Very inspiring. Let's flip back to the question #5 from the audience.
Welcome.
I'm Felipe from Sao Paulo, Minor Capital. My question is regarding tech debt, the legacy of your decade-old solutions, whether that makes it potentially much slower to build AI relative to AI native is building from the ground up from 0, whether you're seeing that in some of the organizations or maybe if AI is actually offsetting the tech debt because you're able to modernize?
[indiscernible] on it, like obviously, you can snap stuff onto our existing systems where it makes sense, right? So it gives you an opportunity to do that. And also -- I mean, anybody want to comment on that. I mean I see our ability to understand exactly how the data is existing and snap things on top of it is advantageous. And we used to do that in the early days using Visual Basic or something, but now you can do that a little faster. So I think it's not something I'm super worried about. So for us, I mean, are you guys worried about that?
I wouldn't say worried about it. I think one of the interesting things is tech modernization is significantly easier using AI, right? So I think there are many people that could be looking at their existing tech stack and saying, I can replace wherever I feel I have weaknesses around the technology choices I've made in the past. I think what we've certainly been talking to our businesses about is not to focus just on the tech stack modernization, but it's very difficult to convince a client to move to a new version of a system. It's the only thing you've done is replace the underlying technology. So it really comes down to how are you going to respond differently to meeting the needs of the customer as a result of your tech stack modernization.
So I think, there's no question, you can enhance your technology stack faster, thanks to AI. But really, again, it's going to come down to do you understand what the customer is trying to solve? What's the pain point they're trying to solve? And how are you embedding that into whatever enhancements you do to the tech stack modernization? So I think you'll find that if we had weaknesses in our tech stacks, we can address them faster, but we need to have a meaningful reason for the customers still want to upgrade, which is going to come down to delivering more value.
Thanks, Felipe. We do have a bit of time for one final audience question in this segment as long as it's on a brief side.
Yes, it should be quick. My question is more around morale, employee morale. Given the dynamic of the [indiscernible] as well as like the technological shift to AI and people worried about their jobs, have you noticed a change in morale? And how do you keep morale of employees high?
Someone should take this.
Look, we've seen in a recent major event was a recognition that people have gone through all the emotions with this, and so have we, right? It's -- but I've certainly picked up as the technology has matured so much in recent times and people can see real value and it's starting to shake out how we can really leverage it. I'm seeing a shift to excitement. And the level of energy that people are coming away from our events and taking back to their business is literally electric, and that's not just me saying that.
That's the independent feedback we're getting from our people. So I think there's been like a huge shift in the last 6 months or so. And that's -- and I think that's happening at all our levels. I think some of us are lamenting that we can't go back in time and do some things over because we would love to have the access to the tools that we're seeing today.
I think we haven't seen leaders leave or people -- morale start to impact people and concerned and people -- very little sort of talk about the share price. I think most of our leaders understand the power of compounding, and they're in for the long-term journey. They've got autonomy in the business that they're working on, and they can see a pathway there.
So although the external noise or changes, it's -- they're not oblivious to it. But when you're in control of what you're doing and you know you can compound your space and you've got capital to grow and you believe in the model, I would say morale is very high, and we don't have -- as demonstrated by probably engagement harder to measure, but also losing leaders, we're not seeing that.
Yes, you've got like dozens of customers, hundreds of customers and dozens of fellow employees. It's a little bubble you're inside one of those businesses. And we hope to allow them to continue to be inside that bubble and just learn from each other. So I think yes, it's not like it's a part of this big massive organization. It's -- you're inside your business unit and you got your customers and you got your teammates and you're trying to figure out how to -- what to do for those customers.
It's a great question. Helpful answers. Thank you very much. I'll just pivot a little bit to the segment I'm going to tee up, which is some technical matters, including coding, and we'll start with rewrites.
Greg touched on the topic of rewrites, AI and rewrites in the panel this morning. We had quite a few questions around that topic, including one that came into the chat this morning. And so here's one version of it. How is AI changing your approach to rewrites? Does the framework for thinking about the cost of rewrites change with AI in what ways?
Rewrites still scare me to death, generative AI, but I don't know how about all of the other.
I think if you're thinking about it that way, you're sort of thinking about the world in an old way of thinking about the world. So we would rather -- our businesses, I think one of the panelists this morning said, step back, engage with your customer about what they're looking for because this technology allows us to envisage a completely different way for our customers to engage with the data and the services that we would traditionally provide them. So I would be putting rewrites at the bottom of the list of priorities personally.
Yes. Like you'd rather do more for your customer than rewrite your existing system. So as a developer, I used to love to rewrite stuff. BG like that always thought you could do it better. But honestly, I'd rather add more value to your customer then rewrite your code, but I think some people will. I mean, as there many rewrites going on? I wouldn't.
There's probably more than there was before. Like the rewrite has always been an ROI issue. The fact was before there was just no ROI in rewriting the vast majority of our solutions. I think the ROI equation is now different with AI. So I think we're willing -- we're probably more willing to look at different opportunities because of the return, which I would say maybe rarely ever existed before, now in some cases does. But we still need to prove it to ourselves, right?
That's...
We have a small one going on, and we're watching it and it's progressing well. But getting to 85% is -- doesn't seem to be that hard, getting to 100% and then getting customers to actually adopt it is a whole different.
Yes, it will be done this quarter, right? And then next quarter...
Next quarter, multiple quarters later.
Second question in this segment from the shareholders that submitted questions refers to a recent discussion among leading programmers about a sudden shift from auto complete to agentic coding that they hadn't expected it, but now think it's confirmed. And they want to know, is that feeling common across Constellation businesses?
Who wants to take that one? I could.
Look, we're seeing it. We're experimenting with it. The jury is still out a little bit because we're conservative and we want to see, but we're definitely, I would say, recalibrating our expectations about how this is going to develop. So...
My sense, like, generally at the Constellation, again, I talk about we're very we're intimate with our customers. We're close to our customers is there's an opportunity to do more specific things for fewer customers than you used to build once and sell many. It's more of an opportunity to build individual things because of it.
So I hope it becomes true because having someone sitting across from the customer and sort of saying, hey, what do you need and doing it might only be true for that one customer. We probably would have steered away from that before. But again, that is yet to be proven. It's all theory right now.
And then I guess this is an inversion of that, but it's that, okay, suppose AI enables writing a lot of code much more quickly, what about the quality of that code? Is there some danger?
Well, it's unpredictable with AI, like I use it too, like it will suddenly do something unexpected in the middle when it does the next right of some update you're doing, which I'm sure you've seen that if you're using it from a -- just from using it for text or writing and stuff like that. So -- but I assume that will get resolved, but you don't know, like it suddenly will do something entirely surprising. I know you've seen that, but I've seen that some stuff like unintended consequences to that one little change that you just made, which actually fundamentally might change how you do things. But I'm sure that's something they'll work on.
I think a lot of the conversation around the migration of, let's say, writing code and how it evolves. At the end of the day, there's always a human that is integrating and making the final decision as to whether we're going to promote that code or not promote that code. I think it's going to change the nature of our senior developers being able to oversee a lot more capability than they would have been able to in the past, but I don't think it's our view that we're going to create systems where we just start randomly writing code and it just goes into production. So I think it will enable our developers to be more efficient in terms of the number of lines of code they can oversee, but there is a human at the end of the chain.
Thank you. The next question that you submitted in advance runs like this. I understand that Volaris recently launched a developer program to upskill software engineers with AI tools and learning. You touched on this before, Mark, but I'd love to just hear an elaboration, if you don't mind. Even though Constellation is decentralized, in what ways, if any, is the company mandating or evaluating AI usage, product and feature development and AI?
I'm just looking at usage of tools, and it's a Mike's event, but we also have multiple other operating groups at it. I mean we're just sort of looking at how the tools are adopted, and we'll learn from the businesses. If there's good examples of things that happen, we'll just learn from them and share them with everybody around the table here and see if they can use them. So I don't know if that answered your question, Larry, but...
Satisfies me. I'll turn it now over to Will to enlarge the discussion about general operations.
Sure. Yes. So these are a little bit less specific to AI and about operations. One of them I wanted to do is just a follow-up to an earlier segment that was posed in the live stream chat, which was we talked about the breakdown of seat-based versus other types of licensing. Do you have a general -- can you give us a general idea for the breakdown of pricing models in the portfolio across the company?
No. Jamal, that's your...
The answer is no. I mean we do not break it down that way. Like I know there are -- like we've just said, there are some seat-based pricing out there. There is other pricing. But I also believe that we can adapt, right? I think it was Barry that said it that if that becomes an issue and we start providing more agentic employees and seat-based goes away, then we'll find a way to get value to that, right? I mean that's something we've always done. But no, I do -- we don't track anything in that way. So I don't have the breakdown.
Okay. What it comes down to like generally in business, you've got to be doing something that your customer values. You've got to be doing it better than your competitors in order to deserve that value. And you've got to do that continuously think about that as you go through. And how you price, I think Jamal said, will be your -- based on your ability to add value to your customers, right? And you can't take that ever for granted. Any of our business leaders take that for granted, well, they're not going to succeed. I hope they all remember that. So their customers are what keeps their businesses humming.
Great. We've gotten a number of questions from shareholders who are curious about Constellation Payments. It's a long-running initiative internally, but there's a sense that it's getting more traction or becoming perhaps more mandatory in some ways. The question is, what are the incentives for Constellation subsidiaries to use Constellation Payments as opposed to other payment processors. Also curious about the IRR on the investment needed to create Constellation Payments. You probably should take that one?
I can let someone else. Yes. So we've had a couple of false starts with Constellation Payments. And so we realized many years ago, there was a huge opportunity in a lot of the verticals within Jonas to capitalize on payments. We are always in the payments game as an ISO and reselling someone else's stuff and saw that there was opportunity to get greater margin if you move up the food chain. And so we did that. We partnered with one firm originally, and that partnership didn't end up working out well. It wasn't the right gateway for us. And then unfortunately, we did a second partnership, and that was working great, but then that firm was actually sold to one of the big payments companies and they discontinued their end of life of that product.
So don't want to get burned 3 times. It's kind of like the 3 little pigs. Eventually, you build the thing out of brick. And so we got our own gateway, and we've launched that gateway. We have a number of clients on that gateway, and it's picking up some pretty good steam right now. So we feel pretty good about where we are. As far as going across Constellation, we picked the name Constellation Payments with the dream that we'd be able to sell to all our friends up here on stage. But we realize within Constellation that sometimes doesn't always work out that well. And so we're really focused within the Jonas organization. So the vast majority of the Constellation Payments stuff is within Jonas, but we do have a couple of clients from Harris and a couple of clients from Vela, and we just did a joint venture with Volaris over in the U.K. So it's gaining some traction within the group, which is good to see. And it's upon us to prove that this is a great solution and better than the others versus Mark Miller dictating to the other people on stage to make it happen.
So we feel pretty good about the trajectory we're on. There's still a lot to do. But yes, we feel pretty good about the trajectory we're on. We're growing significantly in the payment side of things in terms of organic growth, and we have been for a number of years and forecast doing that for a number of more years. So I think that covered all the questions, but...
IR something.
IRR.
You have to answer.
Yes. Historical IRR perspective.
Prospective is always good.
Prospective is off the charts. Historical probably wouldn't be that good. I don't think we should be disclosing those numbers, but it's definitely, I would say, below threshold. So I'll say that on it. But it is the right decision. I think about where we're going now from an AI perspective and going back to what I talked about earlier about utopia grids and doing everything for your customer.
Payments is becoming more important as is things like hardware embedded proprietary hardware, that type of stuff, which I know Bill knows a lot about in his business. And so I see it as also a strategic wedge attrition buster as well. And we've seen that over the years. The clients that use both our software and our payments are much stickier than the ones that just use our software. So I'm very excited about that as well.
Great. It's an interesting example of sort of a cross-group functionality or a layer. We heard from Santina talking about data sharing inside of that health care group. We heard from Bill about Modaxo building an AI layer over his various business units. Really curious about the extent to which data can be shared or not shared across internal business units, especially customer data. And then also would love to hear other examples of things that you can now do because you have bigger business units, many more businesses at the same time.
Bigger verticals units. Bigger verticals.
Yes, bigger verticals. Bigger business units, sir. I love big business units. I'd much prefer to have...
Groups of business...
Yes. Who wants to take that one?
I'll take it. Look, we're trusted custodians of our customers' data, and we treat that very seriously. But we do have access into and can see and with their permission, utilize that more broadly than we are today. So it really comes down to today where we have multiple products and even multiple Modexo businesses servicing the one customer, those systems are still talking to each other via various means. This is a much -- a different level of that type of engagement. And then we have to get them comfortable that if we're taking that data and gaining intelligence from it, then we have to be doing that on an anonymized basis. And we have to -- it has to be a quid pro quo that they get access to the knowledge gained from the broader customer set that we open this up to.
Our hope is that as we add more customers, we get even more intelligence and it becomes a compounder and a flywheel that creates value -- even greater value for our customers, and we believe we're strongly placed to leverage that. But we definitely -- frankly, unlike what's happening in some of the frontier models, we're not scraping people's data without their permission. So we will be very careful about treating our customers' data with the respect it deserves.
Any other groups have an interesting case of a cross BU kind of initiative?
We have some stuff in health care. So obviously, it depends on our customer contracts. But typically, we're able to aggregate a lot of data, anonymize it and then actually be able to monetize it by selling it to pharmaceutical organizations and research organizations that we're looking to do research into cardiovascular issues or other issues because again, we had all of the patient data that we were allowed to get access to. So we've definitely had some successes with that. But it's tricky, right, because you -- back to Bill's point, you do no harm with that data that we're entrusted with is the first consideration.
Before Will asks his last question in this segment, I want to alert the audience that we'll be turning to you again, and I see someone has already lined up. But Will, Will, please pose your final query on this segment, and we'll turn to the audience.
Right. So last one on operations is on cybersecurity. I didn't quite get away from the AI questions. AI appears to be expanding both the scale and sophistication of software security threats. How does CSI minimize cyber risk across its business units? How do you balance the protection that comes from decentralization against the possible benefits of centralized resources such as red teams or shared vulnerability tools?
I think we try and do both, right? So I think we benefit from decentralization because a lot of our systems are stand-alone or a part. So you can't get at all of our systems in one fell swoop. We do offer guidance, tool support. In some cases, we mandate certain tools, CrowdStrike across all of our businesses. And then we also encourage other businesses to do their own things.
So if you were to talk to Santina, she has a very specific health care focus because health care just gets attacked on just a continuous basis. So she would take the corporate support and then she's taken it down a whole another level, like she has a cybersecurity leader within our health care practice, not just at the Harris level. So I'd say we try and combine both to get the best we can in terms of being as safe as we can. And it never seems to be enough.
Yes. And I think we're obviously always looking at ways that we can use AI to monitor security threats across the volume of businesses we have. So it is very much a trust-but-verify mindset as it comes to things like security. We want each individual business unit to own the importance of maintaining the security of their environment and their data, but we do have the benefit of having the knowledge across a broad range of individuals and some very talented security experts that can go in and work to validate that the businesses are doing what they need to be doing.
It's probably a good example, actually, whether there's CSI involvement, operating group involvement, group portfolio involvement and business involvement. I would say that's not often the case. But in this case, actually, because it's so important, you actually see that going through the whole stack.
Excellent. Thank you. So let's turn to, I guess, it's question from the audience. We'll start on that side over there.
I just want to say it's wonderful to be here in my first in-person shareholder meeting. I'm an employee at Jonas Software, and I also own shares in Lumine. So my question is kind of geared toward David Nyland.
So with regards to the WideOrbit acquisition, my understanding is that, at the time, Lumine was valued around like 18x EBITDA and then WideOrbit was at a lower multiple of EBITDA, like 13x. So when they did the transaction, they -- essentially, you were using a higher multiple public platform to acquire a lower multiple asset.
I guess my question to you and the other spin-out companies is there are companies like Chapters Group where they raise capital at the topco level and that can be debt or equity. And essentially, that's at a cost below the acquisition yield and then they funnel that to holdcos that can buy assets at lower multiples.
I guess my question is, why hasn't Lumine and the other spin-outs leaned further into that model? Do you see that evolving that way? And just how you think about creating those value, meeting those hurdle rates through multiple arbitrage and those types of structures like similar to Chapters Group? I hope that's fair.
I feel like ChatGPT to help me answer that question.
Yes. No. So obviously, we were valued at the time as a compounding acquirer, taking a long-term view of what that value creation would be relative to a stand-alone asset and how you would value a stand-alone asset. And it was a premium asset, so we paid a premium price for it, but a significant piece was the rolling shareholder investment in Lumine. So it's a very unique deal.
Would we do unique deals like that again? I think we possibly would if we found something extremely interesting that created compounding value for our shareholders. At $54 a share, we probably should have done it. It wasn't the right time for us to do that. And I think -- but at some point in the future, there might be -- if we trade above intrinsic value, I think there might be an opportunity to use the [ scrip ] in deal. But that's not currently our investment thesis. We're compounding with cash and very traditional approach. But something surprising, interesting or large happens, yes, we would definitely consider it again in the future.
Thank you, David. Question.
Fernand Silber with Rosemart Capital. You guys recently changed something in your M&A approach, which is you included a section on AI and risks and potential benefits. And I'm sort of going to turn this question around to the operating group heads and say, if you had to re-underwrite sort of all of your BUs, what percent would you say the underwriting would change today with LLMs versus, say, 4 years ago?
Yes, I mean, like Bernie, it would be a good question for you. We were talking about a lot.
I think he addressed the operating group managers.
Essentially, I tried to ask the question.
You were asking for you because I think it's -- if you bought all the companies.
Mark, I'm happy to start. Do you want to start?
Because this was done -- I'm laughing because I'm looking at the individual who did it. I won't disclose his name. But he did it within his own portfolio. And he said, he developed a test on AI threats and opportunities on how he's going to approach it for new acquisitions. Then he went back and he said, okay, if I would apply this lens to my own portfolio, what are they? Where would they fall into? And obviously, he had a select few companies where he said he wouldn't have invested in under the new environment.
And when I dug in a few layers, it was really a case of these were already poor companies, like Mark alluded to earlier. They had high attrition. They weren't great businesses. They didn't have good moats. And at the end of the day, they've turned out to be bad investments, not bad. I mean they still have good returns, just not great returns. And so it was hard to figure out what was really AI that was impacting those businesses? Or were they really just poor businesses that we didn't fix and improve the moats?
So it's a difficult question to ask. And I think everyone up here will tell you that there's probably a few horizontal solutions that they wish they wouldn't have bought. But in reality, those weren't great companies anyways. And I think that's kind of the discussion that you end up going down.
I mean core businesses remain core businesses, and you'd like to sometimes have another shot at whether you bought them or not, right? So...
Sure. Any kind of point solution that has high attrition, AI or no AI, is going to have issues. So looking back, I don't know, the 30 years where we've acquired these businesses, some of these businesses, sure, maybe we shouldn't have or maybe there could have been ways to fix them. Maybe now with AI tools, we can protect them better, all sorts of possibilities. But it's certainly those troubled businesses that aren't great.
We still get decent returns because it's all a matter of the pricing and how much we can fix these businesses. But I think with AI tools now, we could probably do something better for those businesses. They're not gone. But then, again, we can always try to go back and revisit, should we have done that. Happy to say that it's probably a very small minority of the businesses across the board.
Excellent.
Anyone else?
Thank you, Dan. Question over on the right.
I'm a shareholder from Pittsburgh. I believe in the circular, it said that Mark Miller elected to forgo his salary and bonus this year. It seems like a great deal for the shareholders. Thanks for that.
Yes. I just carried on what Mark Leonard did. And I really care a lot about this company, and I took this job to help this company and the shareholders in it. So..
Mark wanted 0 comp, and we wanted to pay him something.
So it's really just for -- I really just want to try to help this company improve and continue to increase its intrinsic value over time.
My question was just what the motivation was.
Yes, it's really just in the best interest of the company, and I hope it can help in some way.
Thank you so much for that question. And switching over to -- actually.
Thank you, Mark. Thank you, Mark.
It's actually question 10 here in the middle of -- I think the last question.
I had a question for Mark Miller. How different Constellation 2.0 under Mark Miller would be as compared to Constellation 1.0 under Mark Leonard? And similar question on the same line, how do you think about retention of the people, key and risk? So none of your experienced guys go out there and create a [indiscernible].
I think it's really continue what we've done for the last 3 decades. And I don't think there's any fundamental changes to what we're doing. I think we're trying to learn some new skills, for example, which maybe were some old skills, but we're refining them as, for example, with PEM. And I think we've got to learn and continue to grow that part of our -- if you want to call it, muscle because we've got to -- we've got a lot of capital to deploy, and I hope we can continue to compound for our shareholders. And we'll have to become better at some of those things than we were before, I think. And I'm very looking forward to that.
So -- and I think AI is just a nice -- I think I said that earlier, it's just -- for me, it's helpful because it shakes up some of our businesses and gets them thinking about customer-driven mentality. And we just got to make sure that we get a good return on that investment in what we're doing right now.
So I don't think much has really changed. And you can see the team up here has expanded. And with a couple of dozen people at head office, there's -- really, we depend on each of our business unit leaders and all the operating group leaders to continue to -- the ones who generate all the cash, and we're just fortunate enough to be able to help deploy it. So honestly, I don't really think things are going to change much and focus on developing people.
That's actually a nice segue. We've completed the first round and a half. We'd now like to move to M&A. And I'll turn it to Howard for the first segment.
Yes. So the other key branch of Constellation, course. And of course, the first section, of course, relates to AI and M&A. And so the first question here is about terminal value. So there's lots of innovations. And so there's a worry maybe as you evaluate software businesses, maybe you should be concerned about terminal value. So how is your thinking on that evolved? And have you kind of integrated that into your process of evaluating companies?
Yes. There's been a fundamental shift in terms of how the investing public views publicly traded companies and everyone has subsequently taken a haircut, including us. I don't know. I see the businesses within Constellation and the folks at the AI accelerator that we saw near the airport yesterday. And I see a whole bunch of people really pumped about what they can produce for their customers. And if you go back to that earlier question, are we going to be laying off people? I see the tremendous amount of capacity that we have going forward available for our guys to develop more and more products for our customers. So they're going out and the general managers of the BUs are going out to speak to their customers and trying to figure out what their pain points are. And all of that backlog of stuff that they've always wanted to do but never had the chance to deliver because it was just so tough to do. They're jumping in right now, both feet, getting everybody involved in trying to figure out what to do for their customers. So I don't see that terminal value diminishing the way that people have seen that in the public markets. And I think there really is a disconnect. Now maybe there are some businesses that are on the fringe that maybe it could be copied really quickly, very easily replaceable. I just don't see that. And so to me, fundamentally, I believe in the businesses that we're running here. And just the shift in this tooling that we have in our shed that we could just take advantage of and deliver everything that we need for our customers.
Is it fair to say that then for the kind of broad M&A process across different operating groups, you haven't really put in any new kicker for terminal value assessment or anything like that?
I haven't. Have you?
No. I'd love to..
No, no.
Yes. And then on assessing AI businesses, the shareholder was kind of asking, have you built any framework for assessing acquisitions of AI-first businesses? And how is that maybe similar or different to previous iterations of technology, SaaS, mobile, all of that?
Yes. So AI-first businesses. So right now, what we're looking at in terms of acquisitions, whenever a prospect comes into our sites, and we're going through the motions. Part of our diligence now is assessing their vulnerability to AI. And it varies from one operating group to the next to see how they assess it, but that definitely goes very much into our thinking to figure out whether or not there is a vulnerability. But not only that, we also look at a lot of these businesses that are really in their infancy stage in terms of using the AI tools. And because we're gaining all of that experience of using this stuff internally within our businesses, we're also looking at how we can apply this stuff to the new businesses that we're acquiring to see if there's any upside. So we're taking both of those into account.
Yes. The due diligence is giving you internal lessons as well.
Absolutely -- and what we love to see, now we have 1,500-plus business units. We love to see the results internally so we can use those lessons and apply them to future acquisitions.
Which is how we've done everything from the start. Yes, we always learn and...
I think some of these businesses come in with their own lessons that we can take from them as well and fabulous people, of course.
Yes, we've learned everything from the businesses we've looked at Bernie since '95, right? AI is just another aspect of...
And kind of an offshoot of that is if any of these kind of AI businesses you're evaluating, they're using one particular frontier model, how do you kind of underwrite -- is that a risk? Is that an opportunity, something to keep in mind of?
The code is transferable usually between the model.
There's multiple platforms. It's just a matter of trying to...
Is code is code.
Exactly. So I don't know if anyone else has anything to add.
I think, Howard, like we're not really looking at that many AI-first companies. Let's just be clear, so I think we're looking at a lot of companies that are saying they're doing things with AI to Maurice's point, and we get in and we try and understand what they're doing and comparing it to what we're doing and making our assessments. But I can't remember the last time, one of the ones we looked at was what we would call an AI-first company. You may remember who we are and how we value and what we pay. So I think that's not where we are not yet.
Yes, absolutely. I mean just to underline that, the bulk of the businesses that we see are not AI-first businesses. These are small businesses. They're doing the right thing within their customer bases, and they're doing the meat and potato stuff. But generally, they're not on the AI bandwagon yet or very few are. And the ones that are, are just using the basics. So we're not looking for AI-first businesses.
We've seen a few, but they're usually they don't have customers and they're sort of out of money. I don't think there's a huge -- we're not seeing huge competitors in our segments. AI-first companies is killing it. We are seeing people who've put some money in something, trying to build something and can't get the distribution.
Right. You could probably point them to the SPAC market instead of. They could change their name and add AI to it.
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That's easy.
Yes. So maybe switching to hardware. So you mentioned last year that you studied Motorola Solutions and Hexagon. And do the development in AI make you more interested in hardware? I know Mark is a big brand of hardware.
We always -- I mean, like the Valaris has always had a lot of opportunity to deal with hardware because we deal with a lot of buses and trains and there's a lot of vehicle devices. And I've always liked hardware. I always think it's -- I think it's -- you want to do as much as you can inside that vertical. You obviously want proprietary hardware, hardware that is special and unique to that. So I really like hardware a lot.
Does AI help us with it? I mean when you're doing hardware, it's a harder business. You got to worry most -- a lot more about working capital. And generally, the hardware is embedded software on it, so it might help you write some of the embedded software inside the hardware. But I have never had a problem with it. Maybe we'll do more of it, maybe we won't. It will depend on our -- what becomes available to acquire. So -- but it's perfectly fine for us to do it.
More of an opportunity?
I think so. AI doesn't help or doesn't change that game.
Yes. And then maybe just the last one on the section for me is on horizontal businesses. So we've kind of talked a bit about that. And there's a belief that obviously, VMS is more insulated than horizontal businesses. And does that change your framework for acquiring horizontal businesses given AI? Or has it always been the same?
It depends on the situation. I mean if you're horizontal in a specific geography, like that's one thing. So it depends on the situation and the price and what we really think the long-term value of that business will be. So I don't think it's affecting us at all in our decision-making now. We're going to look at that business on an individual basis and think about what the next decade of that business might look like under multiple scenarios.
Speaker 31
Right?
Yes. I can add that many of the horizontal businesses that we do buy have their own moats despite them being horizontal, and that's what we do look for, something that's defensible.
If not, we'll model it up accordingly. Exactly, which affects what you can pay for that business, obviously, if the moat is not comfortable or
I'll turn it to Larry.
Okay. My segment is on PEM. We heard a presentation about the topic earlier, which provided, I think, extremely valuable information. Nevertheless, we got a very large number of questions about this topic, and so we'd like to pose a few of them. We'd like to front that by emphasizing that we are very grateful for Mark Leonard's continued involvement in this endeavor as an adviser.
We're also happy with your keen interest in this topic. But we also want to stress the need to be particularly careful in this area around proprietary information related with this strategy as well as the fact that it can involve 2 public companies and concerned about revealing nonpublic information. So with that front, a few questions, if I may, Mark. Here's a simple one, at least to read.
What edge does CSI bring to the PEMS strategy?
Well, I mean, we're clearly -- we have capital and a lot of people have capital, but we really understand vertical market software I think, reasonably well. We've had a fair amount of experience over the last 3 decades to understand the vertical market software companies. So I think those 2 combined are useful. And we also know sometimes a little bit about the verticals that these companies are in, which I think can help. And we're also comfortable buying being investing in businesses that require some help. Bernie, I mean, maybe you could elaborate on.
Yes, absolutely. I mean our deep expertise in software for -- we've been at it for over 30 years. I think that helps us a lot. I think we have a lot to share in terms of how we do things. And so our expertise in that, plus with serial acquirers. You don't see very many serial acquirers.
In our M&A conferences in the past, we've invited heads of serial acquirers that are non-software as well, and you've been through a couple of those -- and there are tremendous similarities that I think our experience could help. And I think we have a lot to offer.
We've talked a lot about compensation, about investing incremental capital intelligently in measuring those things. And we think those are useful for people who care about these businesses over the long run. So I think it's...
Second question. In a PEM structure, how does the underwriting process discount or account for the friction of having to persuade a legacy Board or management team to adopt Constellation's capital allocation discipline.
Sure. You want me to take that?
Yes, you take that one.
So if you think of the way that we've done acquisitions to date, we buy businesses lock, stock and barrel, and it takes 1, 2, sometimes 3 years to get them up to speed with the best practices that we use to run our businesses. And so if you think of a minority shareholder and how much influence you can have on a business that you do not own 100%, it will obviously take a little while longer in order to influence management to do the right thing. And so what we believe is that we have to get them at a lower price than the businesses that we are actually acquiring at 100%. And so you will see if we measure ourselves at the same IRR that we measure 100% ownership, we would have to get these businesses at a lower price.
Okay. Many -- a third question to this segment. Many conglomerates with meaningful public equity holdings trade at a persistent discount to net asset value. As Constellation builds out its PEM strategy, are you concerned the market may apply a similar discount to these holdings over time?
Yes, I don't think so. I mean you could see funds that are out there that are closed funds that invest in individual publicly traded businesses and you can go invest in them. But yes, the closed funds themselves have a discount to that. I think that over time, if you look at how our performance will just -- how we perform over time, I don't think there would be a discount. If there is, so be it. It will vary over time. Just the same way our intrinsic value is one thing and the price is a different thing. And there's nothing that we could do to predict that price and to change it.
And I think conglomerate, it's still vertical market software, what we're doing. So it's not totally different business.
Yes. What if the market fully reflects the value of the company and you no longer see the investment as attractive? Would you depart or protect your reputation as a permanent owner? I mean is a...
The first word is permanent, I think. So -- and being a permanent owner, you've emphasized it several times this morning, buy and hold forever. How do you think about that...
Yes. I mean selling the businesses, if the price runs away with us, that just doesn't make sense tax-wise. It just would be tax inefficient. And I think what we would do is have or just see like-minded investors piling to the business that we're in. and just keep holding on to it for the long haul. We're not in the business of selling high-priced shares to people that are unaware of what's going on within the business. We're literally in there permanently.
Better things to do with our time.
Yes. I've got 1 or 2 more questions on PEMS, and then we'll return to the audience. So if you want to think about questions and lining up now is a good time. So either the ultimate or penultimate question and this one is, how can you generate cash from public investments from PEMs? Are these -- are there strategies with special dividends? Are you -- as you technically do not generate free cash flow from the public investments, which won't help you grow free cash flow and reinvest the proceeds. How do you think about that aspect of it?
Sure. The way that we run our businesses is exactly that. We look at areas to invest in. So if it's R&D, if it's particular initiatives that we're doing within our businesses, that's where some capital goes. Then there's capital deployment in terms of acquisition. And so we'll take a look at that and see what's available for acquisitions. And so we would apply those lessons to PEMs as well. And when there's excess capital within the operating groups, what do they do? They send it up to headquarters. And I think what we'll try to do is influence businesses that have excess capital to return it to shareholders if they can't find anything else to -- that gets a good return on invested capital, the way that we measure it they should be measuring it themselves as well. So any excess, we would hope to get it to be returned. But we would want businesses to continue to invest in what they're doing as long as the returns are appropriate.
Excellent. I think I will ask one more, if you don't mind because I think it's got a subtle learning in it. The questioner is looking for clarity, I guess, in her understanding of the blueprint of the PEM strategy. Here's how they describe it, then they want to know if their assumption is right. So the plan is to buy shares, see if the company is okay with being taken over but if not, try to steer decisions in a certain way and reap the benefits of the improved operations. Is that a fair description? Or are they missing something there?
If you think of the process of the way companies are for sale, it doesn't work that way. You don't knock on the door for -- in a very large business, multi -- we're talking about multibillion-dollar businesses. You don't knock on the door and say, are you for sale? And yes, we are, okay, here's the check. But nearly always, and we've had the opportunity to bid on companies, publicly traded companies that are for sale. They are hand-in-hand with typically an investment banker that takes them out on a roadshow with a document and an investment -- confidential investment memo that talks about their business, and they do an appropriate job of scouring the world for appropriate buyers. Once that happens, you have to pay a premium over market to get that business.
We're not in the business of paying up for these businesses in an auction. It just doesn't make sense for us. We want to go to the places where they're undervalued. So it's not that. It's really not. So we're looking for undervalued businesses that are out there and we'd like to get in and try to influence management. And what we're looking for is that the appropriate managers are in place, the incentives are in line with shareholder expectations and that their capital allocation is sound. It's very simple. It's really want to align those businesses with shareholder requirements.
Thank you for that clarity, that clarification. So let's turn to the audience again. I think we're up to question 10. This one will come from the middle aisle.
Andrew Rosenblum from Bonsai Partners. My question is around the compounding engine that we have. I think it's one of the most important things that we do. We understand where capital comes from and how to redeploy it. PEM is different because it doesn't return the capital back to us, and it doesn't give us the capability to take it from potentially cash flowing but low incremental ROIC opportunities in that business to put it somewhere else.
So my question to you is, do you have to -- because the compounding engine sticks in the business for PEMs that we are buying in the public market. Is the bar just intrinsically much, much higher that we have to be completely confident that, that business itself will be a compounding engine like we are. And therefore, we need to hold it to a different standard of business, not just a VMS at a cheap price.
Bernie sort of answered that, right?
Yes, that's a very good question. So you have to remember how we got here, okay? So we had a slide up there earlier that said we had how much, $3 billion of dry powder. We're trying to invest that capital, and it's a very tough slog. It's tough despite the number of VMS businesses that are out there, it's tough to use to redeploy all of our capital. And that's why we came up with the idea of PEMS. So the idea of PEMs is to use some of the capital that we have to find undervalued opportunities out there.
Once we find those undervalued opportunities, the idea is actually trying to find those opportunities is to figure out the businesses that have the highest probability of being receptive to our influence. So that goes hand-in-hand with what we're looking for. Folks that have been shareholders of these businesses are probably looking for some kind of catalyst for these businesses to improve themselves. And like I said earlier, there are a number of ways that these businesses can invest their capital. And so it's R&D, it's various initiatives within the businesses, whether it's geographic, product, et cetera. There's buying back shares, there's dividends, all sorts of different avenues. So we believe that over time, using a number of different ways to improve businesses that we will reap the benefits of the improvements of those businesses. I hope that helps. Thank you, Andrew.
Thank you very much. Question. Is it 13? Lucky 13.
Joseph Sai from Ringler Equity. A question on the same topic. You may generate as much or even more than $20 billion in free cash flow over the next 5 years or so. That's a really, really tall task. I wonder because it seems as though buybacks are probably unlikely given that you haven't done one at this level. Dividends have culturally not been very high on the list. So just wonder, outside of PEMs, do you have any other ideas or evolutions that you might introduce over the next 5 years to help with the capital allocation?
Sure. Mark, do you want me to take that?
Yes, you can. Okay.
So what -- so PEMS is one of them, obviously. If you dial back the clock, I don't know, a couple of quarters, Mark Leonard also mentioned style drift. I think we're looking at other areas as well, services, tech-enabled services and other areas as well. So it's really in its infancy stage. And so we're experimenting with different places, areas where we've had a little bit of experience in through our software investment. And so we are looking at other avenues. It's not just going to be software. Of course, the bulk of it is going to be software because that's what we're really good at, and we've studied that over the last 30 years. So you can -- you're going to continue to see a lot of that going forward, but there's a possibility of new stuff that's coming up.
One follow-up on that. Follow-up. Go ahead. A followup on that. do you think you'll see more PEMS investments over the next 3 years or more Stylerift investments? -- answer?
I can...
We were talking about a lot actually, and you can't really predict that. So it's just nice to have different tools in the shed that you can use based on the current situation, right?
Yes. Now PEMS is still an experiment. We're just starting out and just like a couple of other areas we're poking at, still very early.
Excellent. Thank you, Joseph. Question 14 in the middle.
Daniel Lee from WCM Investment Management. Thanks for hosting the meeting. Good to see you back since 2019. Kind of a follow-up to the prior question on -- I think I might be wrong, but I noticed there's a business unit that's focused on industrials. And so it's kind of to that style drift point. I know there's a lot of experiments happening, but could you help us get a sense of how you think about approaching kind of new industries that are outside the direct kind of vertical market software realm? Do you approach it first with the same hurdles, IRR hurdles first? Or is it more of a business model thing first? And how do you track those experiments to see whether they should kind of dial it in more or kind of pull away?
Well, every investment we track and have tracked forever. So -- and I think in our decentralized structure, there's some experimentation just that naturally happens and ideas that come out. And we -- depending on the operating group leader and which portfolio you're in, we sort of -- we will allow those experiments to happen, and then we'll measure how that's working out and then consider whether that's maybe that's something we could do more of. But it kind of -- I would say it happens organically. Wouldn't you say?
Yes. And we'll measure them the same way, same IRRs. It just so happens that VMS is a really good industry to be in. So we'll just have to measure them accordingly with the same level as our own VMS acquisitions for sure.
Thank you, Dan. Thank you very much. We'll actually come back. So we're going to pivot back to the panel now, and we'll actually have some more questions about investments outside of VMS in a moment. But first, we'll turn the table to Will with some questions about general M&A activity.
Right. So VMS is a great industry. There does seem to be some sort of gradation inside of VMS. The question asks, the phrase mission-critical is used to describe just about every software business. When you are evaluating businesses to buy, how do you assess the criticality of the software to the end customer? And can you illustrate with some examples of businesses where you've walked away because the software didn't meet the mission-critical criteria?
I can hand it over to the other guys and does someone else want to take that? It's a great question.
For sure. Yes, happy.
Yes. So we always think about if the system goes down, does the customer go out of business? Can they not run their business, right? And so if you think of it that way, that's the ultimate mission criticality. And then you sort of take that part of the continuum and you go to the other side of the continuum, which is if the software stops working, the business should pull out a piece of paper and hand write things down and keep going. And so that's how we think about it. And then we have that judgment that goes into it. And most of what we look at is on this end of the continuum, which is the business really stops working and you've got to be able to fix it and all that kind of stuff.
But on this end of the spectrum, we do have some businesses, and we talked about marketing this morning. That's one of the businesses that probably pivots closer to this side of the spectrum than this side of the spectrum. And we have some of those in Jonas as well that are closer to this side. And when we go, I guess, closer to this side of the spectrum where it's less mission-critical, we often do it in a vertical we're already in. So it's like an add-on product on top of a mission-critical system. So that's how we think about it. And if we're going to this end of the spectrum, we hopefully price appropriately, and we think about that in the price we're paying and what we're willing to buy the business for. And if we get to this side of the spectrum, then we know it's probably inherently good business. And one of the key indicators is obviously attrition rates, right? So when you're in this end of the spectrum, you tend to have very low attrition rates. When you're on this end of the spectrum, tend to have higher -- much higher attrition rates. And yes, I met -- I was talking at dinner last night to one of the Harris folks, and they have a couple of businesses with 0% attrition. I've never seen that. I'm just jealous of Jeff over there. I'd like to know what that is.
So the middle of the spectrum, just to add to that, the middle of the spectrum is, say, a departmental solution where we have the main system of record, but there's a little department solution that could be mission-critical to a handful of people within that organization. So the business doesn't die if you pull the plug on that add-on, but that's mission-critical to that group. So then that's kind of somewhere in the middle.
I suppose unasked but implied in this question is, to what extent are you looking for mission criticality specifically as a qualitative measurement as a qualitative criterion versus as a -- it happens to be mission-critical because you've looked at the attrition rates and those tend to be low. You know what I mean?
Yes. We use a business quality checklist that we've used for, I don't know how long, Bernie, but -- and it's in there, but there's other aspects to it. And so it's not the only thing we look at, but it's one of the key things we look at is that mission criticality and the business quality checklist. And obviously, the higher you score on the business quality checklist, the higher we believe it's a great business, and we might want to stretch to make sure we acquire that business. And if it scores lower, then we hopefully price accordingly. But it's not the only criteria on the checklist, but it's definitely on the checklist and a big one.
Great. Robin, a couple of questions for you. Slightly over a year into investing in Asseco, what lessons have you learned about minority investing that might inform your approach next time around? Can you elaborate on how Ako has changed for the better following the advice of Topicus executives that have joined their Supervisory Board?
So it's less than a year because I believe we're a little bit over half a year in it. So that's one. And it's a great business. It's -- I mean the founder, Adam Gorell, built this business. It's a kind of to and he built it out with his team. So that's -- it's a great business, and we like it. And what we try to do now is, as Bernie and Mark Miller referred to, is to have discussions with the management team. So that's the part engaged. And we show them our tools and the way we think and all that things, and it goes step by step. And they're trying to get their head around things we do and things they do. You want to continue them doing what they do very well. And hopefully, we can add some things to it. That 1 plus 1 is more than 2. I think that's very important in this partnership. And there are also partnerships when it's less than 2, but you try to do that together with the company and the management. And yes, we're on that path, and we have 3 persons on the Board, and we have good dialogues. And I think slightly different than like I said before, buying a whole company. But like Bernie said, it's the feeling that people are open to what we do and how we think. And I think we have great discussions there with management. But like I said, it's half year that we're in it. So it's a bit early to tell where we're exactly standing.
The second question on this is, to the extent that they do M&A at Asseco, how do you address potential overlap in targets? Do you have some sort of deal registration database the same way that the whole company sort of registers its deals and which ones are carved out to the different groups?
Yes. So they're not part of the Constellation system. So they have their own they did M&A, and they can continue doing M&A. And then we have resolutions about if there are potential conflicts of interest, we have to solve that. But they do what they do. So they're not part of the Constellation, let's say, database or whatever you want to call it. They're not part of that.
Okay. This one is a question about private credit, particularly around software. So to what extent has the dislocation in private credit, particularly around software assets and portfolios created new potential investment opportunities and ways to deploy capital? I suppose the question is asking if Constellation is open to investing in credit as opposed to equity historically.
Well, we know that the opportunity is out there. We know that there's some distressed debt out there with respect to software investments, but it's a completely different world from equity investment. And so right now, we're looking at things, but we're not diving in. We know that it's a scary world just because of the way that businesses restructure debt. Sometimes it's just difficult to hold on to a piece of paper and make sure that, that piece of paper still exists at the end of the restructuring or whether it's worth that paper at the end of the restructuring.
The other aspect of it is it's a very short tenure tenure type of investment. So debt is typically what, 5 years out or 3 years out. And if it's distressed, there's going to be a restructuring that happens in short order. So we're in the business of long-term investing, so permanent investing. So it's very difficult to shift ourselves from going to -- from long-term investment into debt that has maybe 2, 3 years and then you get all of your money back, more of your money -- more money than you expect, some of it back. Anyway, it would go back to what we did 25 years ago, these short-term equity investments. And I don't think that really fits with our model, but never say never.
Great. We had a live question come in. What is your view on the market's consolidation rate and hurdle rate? In other words, will you run out of small profitable companies to buy? So a question about your runway.
You guys want to take this or...
Take it.
Yes. So our runway is still huge. I mean, going back to profitable, we don't -- I think we've said this various times. We don't look at profitability. We look at a business, mission criticality, attrition rates, loyal customer base, employee base, all sorts of aspects of these businesses. And our database of these software companies is still quite large, and it's still building. And if you think of what the software world is all about, especially now with AI tools that are out there that you can get more software businesses that are created on a regular basis, the number of acquisition targets that are here today will be multiplied several fold over the next 10 years or so. So I think that runway still exists. don't know how software or what software will look like 10 years from now. It could be a completely different story, but I firmly believe that those prospects are still there.
Startups...
Howard?
Can I just -- the panels had a bet about the likely population of the online group and Howard won the bet. There are 1,150 people online is the congratulations, Howard.
So this section, last one for the M&A is more about larger M&A and also outside BMS. So on the recent earnings call, you were asked about valuations and kind of said you haven't seen much movement. And if this kind of persists, do you see valuations start to decline more for smaller acquisitions or the larger acquisitions in private markets? And does that mean you should focus your efforts towards one or the other?
Yes. So going back to the debt discussion that we just had, the leverage discussion, a lot of the large acquisitions are levered, right? They're private equity acquisitions. And some of those -- some of that leverage is up for refinancing probably within the next 5 years or so. So it all depends on what those debt markets look like in terms of influencing whether these businesses are put up for sale. Otherwise, they will just continue to refinance if they're able to do so. But with the SaaSpocalypse that's going on, who knows how that's going to work out? I mean there's billions of dollars out there in leverage for some of these software businesses. So time will tell.
I think we might see something in the next 5 years or it will prove out in the next 5 years, whether that's up or down, impossible to tell. But we stick to our bread and butter, the smaller businesses. That's where we get most of our acquisitions from. And I think those will be coming up for sale on a regular basis, and then we hope to be front of the line ready to acquire more of these businesses.
Maybe an update on VMS Ventures. So the shareholders are wondering how many investments have they made? How they scaled successfully? And any kind of spillover benefits? And also some -- are there any kind of AI-focused ones that I know there's been a...
Let Don answer that question. Do we have...
Don is in the crowd here.
Microphone flew all the way over here. So Don is -- I get to participate in VMS venture calls easy once a week or once every couple of weeks, and I just love Don, and I appreciate it. on a plan...
Yes, we see...
Yourself first, Don. Well, I'm...
Nice to meet you.
What you do.
And a couple of years, we started the venture fund with Carl Shas. He's also here and Mark Leonard. And what we see, we started very slow, looking for the right angle to make this corporate venture running. And in the past year, we see additional traction in AI-specific companies. And as you might know, it's an internal corporate venture investment committee that we run. And in the past weeks, months, we closed around 2 of AI-like start-ups.
So one of those was already mentioned by ClickDimensions with the agents. It's a product of VMS Ventures that they actually use. It's called Rea. And it's a low-hanging fruit way of deploying AI agents, something like that.
That was good on the VMS Ventures.
Don, thank you so much.
It's great your son came over with you as well.
And then just the next one to David. So this shareholder is asking, in many carve-out situations, the seller's objective is to make sure there's a smooth transition with the buyer that has a credible operating model and execution, which you've shown. Are there carve-out situations where Lumen already has the support of the seller, but closing is deferred mainly because Lumen doesn't have the organizational capacity yet or timing alignment to absorb the asset?
Yes. No, definitely not. So we -- as I said earlier, we're always 1 year in advance on building placement infrastructure, so where to put companies and obviously, M&A capacity to deal with opportunities. So yes, we've got lots of places to put companies, and we've got capital and the will and the credibility and the barriers to entry are very high on carve-outs because they're extremely complex, especially the larger ones with dysfunctional sellers. So that's a big focus area for us, and we've got, I wouldn't say unlimited capacity to deal with it, but we're far away from being organizationally constrained.
You're scaling up the team thinking.
Yes.
And maybe a really broad one to kind of round this out. If Constellation's objective is trying to deploy 100% of free cash flow over the next decade without materially increasing dividends, what do you think the company needs to do differently from the last decade to make that possible? Is that acquisition criteria, which we've touched on a little bit, lowering hurdle rates, exploring additional changes?
It's really developing people like we got to continue to develop people like we have because we deploy the capital because we have a deep bench of people throughout this organization. And if we don't continue to develop that, if the leaders of our leaders of our leaders aren't developing their people, that's going to be our challenge. And it sounds like an apple pie motherhood thing, but it's very true, especially if you decentralized capital deployment, right? So you need to have people out there that you measure and you trust and you develop as they learn the ropes of capital deployment like all of us did that are up here.
The audience here. So Howard will ask one more question in this round, and then we'll turn to another segment of audience questions. So if you think of one and join the mic, you have the last question.
Yes. And the kind of flip side of that is if you cannot deploy all your capital, you do and if it's below your magic buyback or above your buyback number, what else will you do with capital? Answer we had for...
Yes. I mean we've done special dividends in the past. So there are many ways to allocate capital. And obviously, we wouldn't endeavor on a buyback if it didn't make sense for our shareholders with our high rates of returns, but we have used special dividends in the past.
We're not going to buy the jets though.
All right. That's...
Thank you so much, Howard. So it looks like there are no shareholders at the mics or traveling. So it will be question 15 from the audience. Next in the middle aisle.
Again Investment Management. I guess a quick one on just PES. Given how it's kind of above deploying Constellation's own operating best practices into these companies. Is it fair for us to kind of look at it like, let's say, 5, 6 years out, if we look at these companies then, given the kind of time delay it will take for these best practices to get absorbed? Would that be a good indication of how some business units actually are transformed inside Constellation? Like in a way, it's for us, we can monitor it in a public sphere, how these operating practices actually get digested and how the actual financials are evolving? Or would it be a little too different?
Personally, I hope that the performance of the business will show up in the financials. I don't know about the share price, but the performance is in the financials, and that's what we really care about, and that's what shareholders really care about, right?
Improving the intrinsic value. I think the difference though is when we have control, I'm not sure we would be 5 years patient.
I think we would be. But I don't think internally, we would typically be that patient.
Thanks, Dan. Question 16 to the right side.
I just have a question on talent development. You mentioned about leadership development is extremely critical. But everybody has their DNA. Some people are born to be better operators, some people are born to be capital allocator. Just wondering how much patience do you give to younger leaders in terms of how you measure them? And what happened after a while that they just -- they're not successful and howhivot their interest?
Yes, like we did, like I was running Valaris a couple of years ago, and we did an event called Quadrant in London. And I decided I'd invite like 4 or 5 people on stage and just to interview about their careers. I think 3 of the 5 started as interns and we're running portfolios.
So we have a list of who you are. We have a list as to what you've done, what returns you're getting, what performance you're getting from an organic growth perspective. And we just want to develop those people. And some are, you're right, some are better operators, and they're better at making businesses run better and some are better at allocating capital. And we'll just try to filter that out throughout the organization. I think all the people up here do that well. So that answered your question. we really want to do that. It's a very important part of our culture.
Is the question that do you think you have -- that people have to go into M&A to be successful or...
No, there are people interested in going M&A, right?
Everybody is interested until they get there.
Yes. I mean they get there, but sometimes they run into difficulties of not being able to find the right opportunities. So some people want to go places they probably shouldn't have went, and that's just how it is inside of a massive ecosystem of consolidation.
Certainly, we're trying to not create like we want -- if people are really great operators, we love them to continue to be really great operators. And M&A has a slightly different skill set. Some people adapt to that and some people don't. I don't want to do is lose a great operator by sourcing them to adapt to be an M&A if that's not in their DNA.
But a great operator also has very good judgment. So they're somehow helpful with M&A as well because the judgment on whether to make an investment, right, is -- it requires some thought and judgment despite having all of our metrics and experience. And you really -- it's a really difficult problem when -- whether you want to like promote a great operator into helping you allocate capital is one of our challenges.
Thank you very much for the great question. We're going to getting close to closing time day 1:00 p.m. We got about a quarter of an hour, and we'd like to pivot to the final segment, the final topic, governance sort of defined broadly. A couple -- I think this is a relatively quick question. and it's probably for Jamal, but what is the total percentage ownership of Constellation stock by employees? And in 2026, how much stock will employees purchase as bonus reinvestment?
Yes. So employee ownership today is around 6%, and that excludes Mark Leonard and his family office, which was another 7%.
In terms of the bonus, like -- again, there's a lot of the leaders that are on the CSI bonus plan, but the number of people actually bought bonuses for this year is only like 4,100, right, out of 69,000. So you got to remember, it's still only like 6% of the total, and that represented Constellation employees about CAD 80 million and for Topicus employees about $15 million. So it's a decent number, but yes, it's not pervasive across all of the 69,000.
Second question in this segment is asking for an update on your scheme to allow employees to invest into the underlying businesses directly. I think Jamie and Jeff question.
Yes. You guys both want to?
And Jeff...
Yes, it's going well. It's for employees in Canada and also the U.S. So it's geographically specific. We've got a group of engaged employees who are in this experiment. And early days, I think it is, again, it's that long-term compounding outcomes.
Jay, if you want to. Yes, I would say -- so year 2, year 1 was Canadians only, year 2 is Canadians and U.S.-based employees. The size of the pool quadrupled, I think, for us in terms of dollars available. But the first pool was post tax. The second pool is pretax, just the way the rules work out. So I think it's going well. The people who are in the pool seem to enjoy it. I think have a lot more conversations about investing and being an investor and a lot more engagement around the investment. So I think we're happy.
I'm going to ask 2 questions to John and then invite an audience question and then ask one final fireworks question.
The question is for John. There are 2, and I'll -- the first one concerns CEO succession planning. We've just been through one and are already planning for the next one. This one is going very well so far. But this is how it's written. In light of Constellation's increased scale, complexity and decentralization, could you comment on the approach to presidential succession planning? In particular, what leadership attributes do you believe will matter most for the next president? And what processes are in place to ensure that qualified internal successors are being developed over time?
A lot of questions in there, Larry. Larry is actually on the HR committee. I'm not. So I feel like [indiscernible]. I'm happy to answer it. And I just wanted to echo Mark Miller's comments that all the employees and shareholders couldn't be more grateful to Mark Leonard for his 30 years of leadership. And we wish he was here today, but he couldn't make it. And if you have his e-mail, I'm sure he'd love to hear from you.
And the process, obviously, in the last CEO transition was, from our perspective, pretty clear, pretty quick. We had a process in place. It obviously happened under circumstances no one wished for, but it was pretty smooth from our perspective. And obviously, we're very grateful for Mark for stepping in.
Moving forward, I think one of the parts of the questions were the attributes, and this is something I think is pretty critical the way we think about it. And there's a few of them that are absolutely critical. One of them, which Mark has alluded to a number of times is the importance of autonomy in the way we operate in the decentralized model. And it's always been the case where it's very, very difficult, I think, for a normal CEO to lock in Constellation that would -- you would never see that because the first thing they would like to do would be to centralize a whole bunch of things. It may not mean building up centralized departments, but it's likely around decision-making. And I think that's the hardest thing for a CEO in our environment to deal with, not only Mark Miller, but everyone else here is you have to enable your people beneath you to make decisions, coach them, and that's the only way we're going to continue to grow, and everyone up here knows that.
The benefit of that is you're developing many tiers of very good decision that we can see their track record over time. And so I feel very comfortable that there is a large bench of people that we can put on the 5-year track, the 10-year track, the 20-year track, and that's largely attributable to the type of organization that we're in and that we're developing those leadership skills through a career, and we're able to track that progress over time. So that is a key part.
And then the fundamental decision that a CEO makes and that everyone up here makes is around capital allocation. I think that's the #1 job of a CEO of a company like CSI. That obviously is around investing in acquisitions, but also if you're running a business unit, it's investing in organic growth initiatives. And then it's also at the top level, it's thinking about share buybacks, dividends. It's really looking for the largest returns for our shareholders for every incremental dollar invested. And I think that's another key attribute that we look for in as thinking about successors for all the CEOs up here.
And then it's the intangible stuff. We're all cheap. None of us fly private jets. We're all shareholders. We're all big, big shareholders. We -- because of that, we act in the best interest of our shareholders -- and it's all the intangibles. Low ego, the things you -- you don't find the big American CEO with making the big salary, negotiating his option package every year. That's the #1 thing they're thinking about. They're using share buybacks as a way to avoid dilution on their option plans.
I mean there's a whole bunch of things that I think all the shareholders who have been in the stock for a long time know and understand, but I think are reiterating when as a Board, we're thinking about succession candidates and what we're looking for. And it's a long answer, Larry.
There were many questions, and you gave many answers. So thank you very much for that. The next question for you, John, concerns buybacks, a word that's been uttered many times, and this one gets a little analytical. Well, there are many came in. And so I actually pose 2 of them. One is a little broader, one is a little more analytical. The broader one is at what price? I don't know if you could say this, set of conditions.
I know you're not going to answer that. What set of conditions would the Board consider -- would you consider -- there are going to be several here, John, but would you consider temporarily buying back shares while simultaneously continuing your deployment efforts after all you have a lot of balance sheet flexibility?
Here's the more precise one. This came in this morning on the chat. So I'll read slowly. When you compare the after-tax compounded return on $100 million VMS acquisition closed at today's prevailing multiples versus repurchasing $100 million of Constellation shares at today's price, which 2 or 3 inputs do you weigh most heavily? And how do you think about the certainty differential between the 2 cash flow streams.
Okay. I'll give my answer and then maybe if anyone else wants to weigh. I mean the way we think about it is we're using the same hurdle rates for making both decisions. We're buying businesses at a value that is far beneath what we're trading at and what other companies are trading at even after we fix them. So we still believe we can generate much higher returns by buying companies than we can by buying our own shares at these prices. Around the question around confidence in cash flows, we have high confidence in both when you're talking about VMS. We obviously have a slightly higher confidence in our own cash flows. But when we're looking at the types of companies, which are 95% of our investments are industries we know, we know how to fix these companies. We're pretty confident in those cash flows, and our track record would suggest that we're reasonably good estimators of that.
Jamal, do you want to add to that at all? Or I think John covered it.
I can't add any...
Anyone else? All Charlie Munger, nothing to add. Is there an audience question? Or shall we go to the final question? There's an audience question. 's question 17. Lucky 17. Second, this is Alex.
Yes. This is not really governance, but it's related to the capital allocation. You made some interesting comments on the most recent call about having built your capacity to do larger M&A relative to the past. And obviously, public market valuations have come down, and those are many of the larger companies. What do you think is the outlook over the next few years for you to do more public to private, larger M&A?
I'd love to be able to predict that. We're just keep plugging away. The good news is we just have, I think, the best team we've ever had on it. So Alex, but I can't forecast the future. Bernie could, I'd love to can. He definitely predict the future.
Yes, he can.
No, sorry about that, but we can't really say we're going to -- we just -- you just -- one of the things you hate in business is when you're not on the field for the game. And you at least want to be involved, and that's one of the things that we're going to work hard on here. And if there's available possible transactions to do, we just want to be able to play in the game. And I think we're probably better than.
I might want to add around one of the reasons that Constellation has kept a pristine balance sheet. And this goes back to Larry's question about why not borrow to buy back shares. I mean we do believe that we want to have the opportunity to take advantage of which could be a dislocation in the market for a period of time. So keep selling vertical market software businesses. We want valuations depress as long as possible.
Yes, I don't want to buy back shares. Definitely.
Thank you, Alex. We've got time for at least one more, maybe 2 if they're short.
Gabriel Boni from YP Capital Partners from Brazil. My question is about AI opportunities for the whole M&A function. How Constellation can enhance the job of the M&A and the business development guys over time and accelerate the process on that?
Bernie is on that.
Yes. So we definitely have tools that are made available to our M&A associates. And so it's a matter of using those tools. And there's all sorts of parts in the workflow from finding the right leads all the way down to doing the diligence and closing the deal.
And so we've built internal tools, and we've used tools from the outside to make that workflow a lot faster, a lot smoother. Whether or not it proves out in increasing the volume that we actually get to close is up for debate. We don't know yet. But those tools are being made available, and we're rolling it out to all of our M&A piece.
It make us smarter.
Thank you. Question 19, probably the last audience question.
It's a quick one. Francisco from Rothschild. Just given everything that's going on, do you expect any changes when it comes to competitive landscape in M&A?
Changes. Are there going to be more copycats, you mean?
All the money that was flowing in.
Would you expect less money to flow into this place?
Yes, hard to tell. I mean, right now, in the last decade or so, there have been a lot of copycats that have been popping up. I've seen some exits of those copycats. I think Exeo is one of them actually -- sorry, yes, Exeo that we bought through Harris. It was a roll-up of software businesses in Quebec. So I'm personally hoping to see more of those copycats maybe throwing in this towel. That would be nice. I don't think that's going to happen right away.
But over time, I think some of these roll-ups might be looking for an exit. And if that is the way it's going to go, hopefully, we're first in line for the first call that goes out. But I think there will be some more copycats that will pop up. Maybe they'll do a different version of what we're doing, but it's -- we'll be out there looking out for them.
Thank you very much. It's exactly 1:00. And so I'd like to turn the meeting back over to Mark Miller.
Yes. Just want to thank the whole team here, all of our shareholders, Mark Leonard, obviously, our panel, which I think -- let's give our panel a hand. Hard to do. You guys awesome job. and Yes. And I hope you found this useful. We look forward to your feedback. And obviously, I have to thank the tens of thousands of Constellation employees across the world that are -- really make this all possible for us all.
So have a great trip back home wherever you're going. And thank you very much for all your time today. And there's a lunch outside, I should say. There is some lunch outside, and yes, it won't be roast beef on the platter with -- but it will be something to snack on. Thank you. Hey, guys, thank you so much.
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Constellation Software — Shareholder/Analyst Call - Constellation Software Inc.
Hybrid‑Hauptversammlung: Formale AGM‑Punkte, Management‑Präsentationen zu Verticalisierung und KI sowie lange, konstruktive Aktionärs‑Q&A.
Formale HV‑Tagesordnung abgeschlossen; anschließend Management‑Panels (Harris, Lumine, Modaxo u.a.), AI‑Accelerator‑Erfahrungen, PEM‑(public equity minority)‑Pilot und ausführliche Live‑Fragerunde.
🎯 Kernbotschaft
- Kernaussage: Constellation betont weiterhin dezentrale, buy‑and‑hold‑Strategie: Fokus auf Vertical Market Software (kundennah), Peer‑Learning zwischen Business Units und selektive Kapitalallokation. KI wird als Hebel zur Beschleunigung von Produktzyklen und zur Steigerung von Customer‑Intimacy eingesetzt, nicht als Ersatz für langfristige Kundenbeziehungen.
🚀 Strategische Highlights
- Verticalisierung: Operating Groups bündeln Branchenexpertise (z.B. Modaxo für Mobilität, Lumine für Media/Comm, Harris für Healthcare) zur Cross‑Sell‑Synergie und schnelleren Skalierung.
- KI‑Transformation: Praktische Beispiele: Rapid‑Prototyping (Monate→Wochen→Tage→Stunden), CelCat sieht Umsatzwachstum von ~12%→23% p.a. nach AI‑Neuaufstellung; ClickDimensions löste 82% der Tier‑1‑Tickets mit einem Agenten.
- Kapitalstrategie: PEM (permanent engaged minority) als Experiment: gezielte Minderheitsbeteiligungen an öffentlichen VMS‑Firmen, um Kapital weiter zu deployen ohne vollständige Übernahmen; Pilotphase, konservative Preisvorstellungen.
🆕 Neue Informationen
- Aktuell: PEM‑Programm wurde öffentlich erläutert; Experimente bei Bonus‑Incentives zur stärkeren Förderung organischen Wachstums laufen.
- Finanzen: Keine neue Gewinn‑/Umsatz‑Guidance; CFO meldet bisher nur geringe, nicht margenschädliche KI‑Kosten (Token/Entwicklung), kurzfristig eher Investitionsaufwand als zusätzlicher Umsatz.
❓ Fragen der Analysten
- AI‑Risiko: Hauptfragen drehten sich um Kunden‑Attrition durch AI‑Konkurrenz und Kosten (Tokens). Management: bisher keine materialisierte AI‑bedingte Abwanderung; Beobachtung auf BU‑Ebene, aktive Messung der Adoption.
- Talent & Kultur: Angst vor Jobverlust thematisiert; Management erwartet eher Re‑Skilling und Produktivitätssteigerung statt großflächiger Entlassungen; Moral aktuell stabil, viele Mitarbeiter begeistern sich für AI‑Projekte.
- M&A & PEM: Aktionäre fragten nach Bewertungs‑Risiko, Einfluss auf Governance und Realisierung von Wertsteigerung bei Minderheitsbeteiligungen. Antwort: PEM ist konservativ, wird mit niedrigeren Einstiegspreisen und operativer Einflussnahme getestet; klassisches Buy‑and‑build bleibt Kern.
⚡ Bottom Line
- Fazit: AGM stärkt das Narrativ: dezentrale VMS‑Plattform mit zunehmender KI‑Durchdringung und einem neuen PEM‑Hebel für überschüssiges Kapital. Kurzfristig keine Guidance‑Änderung; Aktionäre sollten AI‑getriebene Umsatztrends (organisches Wachstum, Net‑Revenue‑per‑Head) und die Umsetzung der PEM‑Piloten beobachten. Langfristig bleibt der Fokus auf kundennaher Wertschöpfung und selektiver Kapitalallokation.
Constellation Software — Q1 2026 Earnings Call
1. Management Discussion
Good day, and welcome to the Constellation Software Inc. Conference Call and Webcast Conference Call. [Operator Instructions] Please note this event is being recorded. I would now like to turn the conference over to Mark Miller, President, please go ahead.
Good morning, everyone. I just wanted to start off by reminding everyone we have the Annual General Meeting coming up this Friday, and we're hoping today to take some quarterly questions on the financial results for Q1. And so thank you all for attending, and I have both Bernie and Jamal with me to help answer any of those questions. So over to you.
[Operator Instructions] The first question comes from Thanos with BMO Capital.
2. Question Answer
Maybe one for Jamal to start. So just on the margins for the quarter, I know you have the Q1 payroll taxes and that there were some Synchronoss-related costs. And then is there anything else that you might call out in terms of the margin dynamic this quarter or nothing unusual of note?
Yes. I mean there were some -- a couple of other acquisitions that were a bit of a drag on margins, like the Q1 cohort of acquisitions themselves were actually a negative margin for the quarter, which we totally plan to improve them, and it's a typical thing where we improve margins over time, but it was a bit of a bigger drag this quarter than previous quarters. But if you look down the -- like the line items of what's impacting margins, you can also see hardware margins were slightly down. Again, that's not one of our core products. But again, it was 43% margins versus 46%, and that had about a 20 basis point impact on margins. Professional services, again, for making acquisitions and using third-party services. And then also on the -- sorry, professional services. And then also on third-party maintenance, you can see that's up a bit as well, which, again, nothing material to call out, but as we use a lot more of these third-party providers for coding, et cetera, like you'd expect that to pop up a little bit as well.
Great. And then one for Mark. Now that's been a few more weeks into the SaaSpocalypse, have you been starting to see private market valuations for larger assets come down? Or is that not a dynamic that's transpired just as of yet?
Not really. Bernie and I were just chatting about it before the call, and he was saying maybe slightly. But Bernie, do you want to elaborate on that at all, but not really.
Not really. It's really at the high end, we could see it maybe plateau a little bit, if not declining slightly in terms of valuations, but at the low end where we play with most of our acquisitions, not at all.
The next question comes from Stephanie Price with CIBC.
Just to that comment about the payroll taxes on the last question. Just curious if you've been discussing any changes to Constellation's bonus plan just given the public market reset. And maybe related, how do you think about employee retention in the current environment?
Yes. So we haven't made any changes to the plan. And I mean, I think me personally, I'd say this is a great buying opportunity, right? I don't think we need to change the plan as a result of that. So the formulas for the core management team stays the same. We still buy shares in the market, the same way we always have. And again, we believe in the company. And so yes, there -- no, there haven't been any changes to the plan.
Okay. Great. And then Constellation typically sees kind of larger deals in more difficult environments. I know this is a very interesting time right now. But can you talk a little bit about the large deal pipeline and the appetite for bigger deals at this point?
Well, we're invited to a lot of auctions that are out there by the investment bankers. And sometimes we're able to play, sometimes we're not. Valuations are still high. So we try to get what we can, but competition is still fierce. So...
Yes. The only thing I'd add to, Stephanie, to that is that I think we also have better talent to work on those larger transactions than we would have had, let's say, 5 to 10 years ago. And you need it because they're complicated. There's some hair on them and they're usually spread out over multiple geographies and sometimes are carve-outs from large companies and having experienced people who are capable of doing that is probably something we didn't have. So that helps us a bit. But again, it does come down to valuation for us. And I do think we're on the field at least more, let's say, playing and trying to win those than maybe we were 5 to 10 years ago.
The next question comes from Jerome Dubreuil with Desjardins.
So I just want to ask about the broader software strategy there. We've seen Salesforce launch a headless solution. They're focusing on offering API access that can be leveraged by agents. I understand horizontal and vertical solutions might be very different in terms of how they will approach their integration in an AI world. But do you expect the strategy -- you could take this one as well or maybe VMS is so different that you don't need or you don't anticipate as much change to the UI paradigm over time?
Well, it's -- like I would say it always depends on which business you're in, inside of Constellation. We have many, many businesses and some will have to build agents and some will have to modify the user interfaces, but many won't. I mean customers are obviously hesitant to change their user experience because it's something that their team uses all day to run their business, right? So changing user interface is and way the user interact with the software is a big decision for our client, and they take it under -- take some consideration before they do that.
And one of the things that I always find talking about artificial intelligence and the changes in technology is essentially, you have to convince customers to change their user experience as well, which, in some cases, it requires budgeting, approvals, multiple levels of discussion inside of that customer for our mid- to large-sized customers in particular. So it will evolve as the market evolves, and we just make sure our people are as educated as they can be on these new ways of building software and adjusting to those changes. And we'll talk a little bit more about that at the AGM as well. We get a chance to talk about some real examples on Friday.
That's great. And then second one, another one on the evolution of the software model going forward on for deployed engineering. Is this something you believe in? Could it be initially maybe bringing a bit more cost when you kind of adjust to the new model? And have some BU is started leveraging the strategy more?
Definitely. Yes, there will be some more cost in doing that initially because you're going to be kind of retooling where they need to do it. And some are doing it in advance just to make sure that if there are some changes inside of their markets and new needs for new ways of interacting with our products, they're using it. They're also using it to also try to expand inside of the customers as well, which is which is what I'm hoping to see more of for our more, let's say, close to customer innovative businesses across the world that they use it to step into other areas of the customer and interact with them more because we do have -- because we're so vertical, we have so many different teams in this decentralized environment of Constellation who are out really close to customers in many countries around the world in many different markets, trying to figure out how to make customers' businesses run better.
The next question comes from David Kwan with TD Cowen.
I was wondering if you could talk about the first -- how the first couple of months have gone with Sabre. How are you working with their leadership team in terms of strengthening their business? And how receptive, I guess, and cooperative have they been?
Yes. I think generically, we really don't want to comment on Sabre, David. It's just something that, yes, is left to our -- we have a representative on the Board there and the conversations between Sabre and our director are, I think, going to be kept private and confidential.
Okay. I understand. From an M&A standpoint, you obviously had a pretty strong start to the year and also for Q2. As it relates to the Q2 to date that are closed and pending deals. Other than the Derbysoft deal, are there kind of any larger chunkier deals that, I guess, weren't large enough for Constellation to press release, but maybe were much larger than your typical run-of-the-mill deal?
Yes. There were a couple of larger ones. I think, yes, we're not going to disclose the amounts, but there was a couple of larger ones and a whole bunch of small ones...
And then are you guys are seeing anything different in the M&A environment that's allowed you to be this active on the M&A front over the last few quarters or here? Or is it really just kind of like the ebbs and flows of your M&A strategy in the overall market and you're just kind of going through a good patch here?
Yes. It really is the latter. It just comes and goes up and down as the market evolves. We don't see more transactions than usual. We don't see less transactions than usual. It's just the same amount across the market as we've always seen. So nothing's changed. There's a real disconnect between the SaaSpocalypse publicly traded stuff and private markets. But yes, it's just ebbs and flow of the market.
And it's like any -- sorry, David, go ahead.
No, I was just wondering like are you seeing maybe changes in the behavior of the targets, the sellers, particularly given what's going on with AI that maybe being part of the Constellation family is a better place to be? Or is there anything else that's maybe trying this elevated activity?
No, I think we remain patient. We deploy capital very, very carefully. And I think we -- as I think I said to Stephanie earlier on, I think we do have a bit more talent who are able to think about those larger transactions than we previously did. That might give us a little bit of a better coverage and close rate on some of those, but it's still -- the world has not changed from our viewpoint. It has not. So we'll just continue to plug away at this problem and keep working on it.
The next question comes from Graham Rhodes with Longriver Investment Partners.
Can you hear me?
Yes, I hear you perfectly.
Excellent. I'm calling all the way from Hong Kong. So I just wanted to make sure. I'm going to ask, first and foremost, as someone looking from the outside into your business, I'm trying to think about how to categorize the portfolio of companies that make up Constellation Software and the threat that AI might pose to them. And I'm thinking there's maybe like a low-risk category where we have businesses built around things like mission-critical systems, systems of action. And then maybe there's a higher risk segment of the portfolio, which is more like marketing or lead generation or website construction and that kind of thing. And I was wondering if you guys broadly agree with that classification or categorization. And then maybe as well, if you could comment at all on whether the higher-risk category makes up a material part of your revenue and FCF, HUS and that kind of thing.
No. I mean it's pretty broad the places we're in. And when you're looking at how defensible a particular business is in any environment, considering whether it was SaaS or threats too -- because of mobile computing came out or -- and now because of AI, it's -- I always say it's a beauty is in the eye of the beholder situation. You can kind of try to say, well, this business is more at risk because of this. There's a couple of things that you need to really understand about our businesses is sometimes even though they might be in more, let's say, I consider sort of horizontal-esque, if you want to call it, and you think more vulnerable places, it depends on the addressable market size of that particular niche and how defensible it is and how close they are to their customers. So -- and then on the other spectrum, you have ones that are generally have lots of departments involved, and they appear to be more sticky as well because of that. So it's very difficult to do that in any sort of quantitative way.
It really depends on the leaders of that business. We're so decentralized with hundreds and hundreds of businesses around the world. It depends on the leaders of that business to just make sure that they care of the needs they're in. And we're generally not taking on very large horizontal companies in many of our niche verticals because niche plays because that's sort of how we defend our market position by being small and intimate with dozens or hundreds of customers, not trying to have tens of thousands of customers. So I don't know if that makes sense to you. And where you're going to get attacked by AI is if it is a problem, it's going to be maybe where you least expected, you'd expect any time there's a high churn, high attrition business, maybe more so, but that isn't a large percentage of our recurring revenues anyways. Yes, it's just a difficult question to answer. You can cut it in so many different ways. We just will depend on our leaders to find the best solutions for our companies in each of the situation they're in.
That's really helpful. A follow-up would be just in the last couple of months, really since the start of the year with the launch of Claude Code and OpenClaw and Agentic AI. I was wondering if that's changed your perspective at all on the competitive risk -- and if not, like what would it take for you guys to see this less something that can enhance productivity and more something which can be a direct threat or even an indirect threat on like pricing and your ability to sell like other modules and that kind of thing?
Pricing, like how we say, the way we lose customers is, a, they get essentially go out of business, which happens, you can't do much about that. They're acquired by other customers, particularly larger customers. That's another way of losing. You can't do much about that. Other than you hope you -- the other customer that buys them is your customer. Pricing is the third and pricing, rarely, we lose customers on pricing because the switching is painful for customers and it's working and they're using it and retraining all their users and adapting the interfaces to make it work and make it harder. Where you lose customers is when you can provide -- when the competitor can provide something much different than you can provide that the customer really needs. And that's where I always worry the most, just generically forgetting about AI. So that's kind of how I sort of look at it.
Now as far as these tools, we're all using them internally. And I've been fortunate enough to travel around. I think each week, I've met with a different group of Constellation in different location and just see what they're using and what they're doing, and they're adapting to these tools, using them internally to help them run their portfolios, their businesses better. But they're also using -- to try to develop more software to actually expand our presence inside of customers more so than defend our presence is kind of the thinking, but it's going to depend on our business. So I look at these tools as an opportunity to do more for customers, not do what we currently do more efficiently, although that will happen in some cases.
Okay. That's really helpful. And final question for me is just on PEM, which you guys introduced last quarter. And I was wondering, when you're thinking about making an investment, a minority investment, do you have a different hurdle rate for that than you would for your standard wholly owned M&A? And then related to that, for a very long time, we've used free cash flow available to shareholders as, I guess, the yardstick of our company's progress. And I wonder if these minority investments grow over time, would you suggest that we start thinking about something else to anchor valuations on or the company's progress?
Yes. So in terms of PEM, the hurdle rate is the same. However, the modeling in terms of the weighting of worst case versus winner case are going to be much more dispersed. And so will probably result in a lower price, but the hurdle rate is the same. In terms of going forward and the free cash flow available to shareholder metric, that is something we've been discussing. And internally, the way -- and many investors know this, the way we bonus ourselves internally is something called like it's an economic net income. It was very close to what we used to have as adjusted net income.
And for these types of PEM investments, we would actually look at our pro-rata share of their ultimate cash flows, which doesn't show up in our current statements. So it's something we're thinking through right now to try to maybe give you investors the same metric that we're using internally. And again, I haven't finalized and it's going to be a discussion on how we -- what we present. But it is -- yes, I understand your point that the free cash flow available to shareholder metric is sort of it doesn't pick up any relating to these PEM investments for the most part.
[Operator Instructions] The next question comes from Paul Treiber with RBC Capital Markets.
Just, Mark, open-ended question, but just overall, how would you characterize the quarter? If you could call out what you think was better than expected or what maybe improved versus the last couple of quarters? And then conversely, what you think needs some improvement?
M&A, obviously, was positive because I'd rather be getting capital out now rather than at the end of the year. It's sort of like any business, you'd rather get more capital out sooner. From a performance issue, we didn't -- weren't -- we were expecting the adjustments to EBITDA because of the acquisitions we made. So I don't think that was unexpected. And I think that's why we actually explained exactly how that happened. I continue to pressure our businesses on organic growth generally, Paul. I really would like to see them doing a better job on organic growth across the board. And I think this is an opportunity to push them harder on that with the advent of some tools to allow you to do things a little bit faster and a little bit better. So -- but that's a generic concern that isn't just in the quarter. So maybe I've missed -- not missed -- not answered your question. So other than that, Bernie, Jamal, anything to add to Paul's question?
I'd say it's a pretty big standard quarter. So it was expected, like organic growth in line with historical norms. All of these initiatives, I mean, we're saying that we're doing a lot, but yes, but it wasn't an expectation that we're going to translate that into revenue growth right away. It's going to take time, right? And then you have to sell it into your customer, et cetera. So that was always expected to take some time.
And just to reiterate what you said about M&A, happy that the first quarter and the bit seem to be going quite well. Hopefully, we can continue throughout the year.
That's helpful. The second question, Mark, you've been in the President role for 6 months, probably just over 6 months. Any leadership style changes that you're bringing to the role? And then in particular, how has been interacting and managing the broader operating group leaders versus your prior role at Volaris?
They've been great, Paul, like just terrific. We had a Board meeting yesterday out near the airport and just all the operating group leaders are -- after the meeting are sitting together working on things and talking about how we can improve. So I'm just super happy with the team across Constellation. And I think the collaboration is at an all-time high between the operating group leaders and everybody is very engaged and working closely together. And I'd have to say sharing best practices at a high velocity around anything we're learning about, for example, AI and because there's just so many ways to combat that problem. So I'm super happy, Paul, with where things are at.
Thank you. This concludes our question-and-answer session. I would like to turn the conference back over to Mark Miller for any closing remarks.
Yes. I just want to thank everybody for dialing in, and we're really looking forward to seeing everybody at the AGM. And of course, thanking all of our team across the world for helping us deliver Q1. So over, we'll see everybody on Friday that makes it to the AGM. And thank you, Bernie, Jamal as well over and out.
Thank you.
Thank you. The conference has now concluded. Thank you for attending today's presentation. You may now disconnect.
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Constellation Software — Q1 2026 Earnings Call
Q1-Call: Starke M&A‑Aktivität, kurzfristige Margenbelastung durch akquiriertes Portfolio, Management sieht KI primär als Chance zur Kundenausweitung.
📊 Quartal auf einen Blick
- Margen: Belastet durch Q1-Akquisitionskohorte; Akquisitionskosten und Payroll-Steuern drückten EBITDA-Margen.
- Hardware: Hardware-Marge fiel auf 43% vs. 46% und wirkte mit ~20 Basispunkten negativ auf Gesamtmarge.
- Organisch: Organisches Wachstum in Q1 in Linie mit historischen Normen, kein kurzfristiger Schub.
- M&A: Starkes Startquartal; mehrere größere und viele kleinere Zukäufe, Derbysoft explizit erwähnt.
🎯 Was das Management sagt
- M&A‑Disziplin: Geduld bei Bewertungen, gezielte Teilnahme an Auktionen; mehr Kapazitäten für größere, komplexe Deals als früher.
- Dezentralität: Viele kleine, vertikale Einheiten; Erfolg hängt von lokalen Führungsteams und Nähe zum Kunden ab.
- KI‑Einschätzung: KI wird intern breit eingesetzt; Management sieht sie primär als Mittel zur Produktivitätssteigerung und zur Ausweitung innerhalb von Kunden, nicht als unmittelbare Existenzbedrohung.
🔭 Ausblick & Guidance
- Guidance: Keine formale Änderung der Guidance im Call; Verbesserungen bei Akquisitionsmargen erwartet, aber zeitverzögert.
- Bewertungsumfeld: Hoher Bereich könnte sich leicht abkühlen, das typische Zielsegment (kleiner/nischig) zeigt bisher keine nachhaltige Bewertungsschwäche.
- Reporting‑Frage: Management prüft, wie pro-rata Cashflows aus Minority-/PEM-Investitionen abgebildet werden sollen; keine finale Entscheidung.
❓ Fragen der Analysten
- Margen-Drivers: Analysten fragten nach Einmaleffekten (Payroll-Steuern, Synchronoss-Kosten) und akquisitionsbedingten negativen Margen; Management bestätigte temporären Charakter.
- M&A‑Pipeline: Nachfrage nach größeren Deals, Wettbewerb und Preisdruck; Management sieht mehr Talent für komplexe Transaktionen, bleibt aber valuation‑getrieben und selektiv.
- KI‑Risiko: Diskussion über Schutzfähigkeit der Nischenprodukte; Management betont hohe Switching-Kosten und sieht KI eher als Chance zur Kundenausweitung.
⚡ Bottom Line
- Fazit für Anleger: Aktie bleibt M&A‑getrieben: kurzfristig Margenbelastungen durch Integrationskosten und Q1‑Effekte, mittelfristig Wachstumspotenzial durch erworbene Kapazitäten und Produktivitätsgewinne via KI; wichtig sind organisches Wachstum, Entwicklung der PEM‑Reportingpraxis und wie schnell akquirierte Einheiten Margen verbessern.
Constellation Software — Q4 2025 Earnings Call
1. Management Discussion
Good morning, and welcome to Constellation Software's 2025 Fourth Quarter Results. [Operator Instructions]. Please note, this event is being recorded. On the call today, we have Mark Miller, President and COO; Jamal Baksh, CFO; and Bernie Anzarouth, CIO.
Mr. Miller, please go ahead.
Thank you very much, Drew. Good morning, everyone, and thank you all for joining the call. Our press release went out earlier today. So I hope you've had a chance to at least flip through it. And I wanted to make a few remarks before we move into Q&A.
So there's a real noise in the market now about AI disrupting software businesses, and we take that very seriously. But we think we're well positioned, although we're staying very disciplined about how we approach it.
We've always run a learning culture at Constellation. Best practice sharing across our operating groups is one of our genuine differentiators. And I've seen more cross-portfolio collaboration around AI in the past year than on any topic in recent memory. Over the past 12 to 24 months, we've directed our culture of best practice sharing to helping our businesses navigate the AI transition thoughtfully.
We spent 2025 upskilling our development teams. Thousands of developers have built skills in AI augmented coding across our operating groups. We're entering 2026 with AI-enabled coding becoming increasingly commonplace. The productivity returns are real, and they're still growing as these skills embed more deeply in our business units across the world. A typical example of this, that last week in Denver, one of our operating groups hosted an AI accelerator program with 19 businesses and other operating groups participate alongside them. This week I joined Volaris and Jonas event is underway in the U.K. So we're -- and this year, we're planning on moving hundreds of teams through similar programs.
We're starting to see opportunities for small language models, AI agents and new applications for machine learning throughout our business. We're going to find opportunities that service out of deep customer relationships and our strong vertical market expertise. We're bringing forward our technology platform partners and AI providers to create cohesive, relevant and applied solutions for markets that we know well and that we've operated in for years.
But I want to be direct about something, building products and features faster will not be what differentiates us long term. That capability will become widely available. It's going to be table stakes. What will matter is what our businesses have spent many years developing, deep vertical knowledge, a genuine understanding of customer workflows and processes, the data inside their solutions and the trusted relationships they've built. I believe AI will help us do all of this better. When I look at where this leads, the opportunity I find most interesting is what I described as knowledge networks, connecting our domain expertise, customer process knowledge and data assets in ways AI now makes possible. That's a long-term build, and we're in early days, but the foundation is real.
Our customers rely on us for mission-critical software. We believe that the trusted partner position we've earned in our verticals is now extending to guiding them on how to safely and effectively bring AI into their own businesses.
I wanted to mention a little bit about capital allocation. And our process is largely unchanged. We score prospects for quality as we always have. We've added an explicit AI lens, assessing each business for AI disruption risk and potential AI upside and modeling accordingly. We're also piloting AI tools to help us rank prospects by quality and readiness to transact. It's early, and the jury is still out on whether it will prove its value over time.
We've also developed a new approach to deploying larger amounts of capital, what we're calling a Permanent Engaged Minority Shareholder strategy or PEMS. Our investment in Sabre is the first meaningful expression of it. And I have to thank Mark Leonard who is helping us with this strategy and helped us explicitly on this particular investment. But the logic is straightforward. Permanent, meaning we're long-term share -- long-term holders, not traders. We'll work to ensure these companies endure as institutions. We're engaged, which means we care about governance, management incentives and capital allocation, and we'll actively work to have an influence where we think it creates value. Minority, we're not acquiring these businesses outright. We want to partner with other shareholders, and we hope many of them become engaged long-term holders alongside us.
So just to wrap up here, the fundamentals haven't changed for me. It's been like 3 decades with Constellation. You've got to know your customers, stay close to them, go deep in your verticals, develop your people, build leaders who can drive change. That's what this period calls for, the same things it's always called for, and we have businesses all over the world, hundreds and hundreds of them that are doing all of those things. The technology will be new. The pace is meaningfully different, but we've got the right business to respond.
And so that's all from my opening remarks, and I wanted Drew to allow some questions now, if you could run that for us.
[Operator Instructions] The first question comes from Kevin McVeigh with UBS.
2. Question Answer
Very, very helpful. I guess with -- just the more focus on AI. Mark, does that involve more reinvestment back into the business? A broader ecosystem of partners? And just -- I know there's a lot here, but just any thoughts as to monetization in terms of consumption across your clients, just broader stroke, again, very, very helpful comments.
I mean it's really early days on that. And our businesses, like always, are -- they're probably spending more time and money on this than they've spent on for a while on any specific best practice. So they're looking for opportunities with inside of their customer base to use AI as well as to drive revenues. As well as, of course, being able to develop products faster and quicker and provide customer solutions at a more rapid pace than we previously could. And then some are taking it a little bit further. And they're -- talking a little bit about that. I talked about it becoming sort of a knowledge network for each of those customers, and they're working a little harder on that, which means sort of doing machine learning and building AI agents. So it really depends on the business.
Explicitly, we don't really control that from Constellation headquarters. We allow our businesses to make that decision, and they have many coaches throughout the world to help them think through those things as well in the sort of decentralized network of companies we have.
The next question comes from Thanos Moschopoulos with BMO Capital.
Mark, to what extent have you started to see some of your businesses capturing incremental revenue from AR relieved capabilities? So be that in the form of new modules, usage-based pricing or customer-funded R&D. Is it very early days? Or are you starting to see examples of that?
Yes, really isn't -- we haven't really seen a lot of new revenues from that, right, so far. And on the converse, we haven't seen really much -- no loss of revenues from it, at this point. So it's been really, really just -- we're really just in the process of just bringing everybody up to speed and making sure they can use the tools, and they know as much as they can across our businesses.
Great. And with respect to the PEM strategy, is it safe to assume that all else equal, you'd still rather own a business outright? Or are you in difference so long as you're investing in the business with the minority stake where you trust management, you like the dynamics of the vertical and...
Yes, we're happy -- we're happy to have just to be a long-term shareholder in that business and work with their team on trying to make that a better business over time. So it's really sort of fits the Constellation way of doing things, right? We buy and hold forever, and we want to work with these companies in a similar fashion and hope to make them better. And we're really not out there to acquire them. We're out there to try to collaborate with them and their shareholders and make them better businesses. So I'm pretty excited about it. I think it's a new thing, and we'll keep updating you as we learn more as we continue to implement PEMS, hopefully, more often.
The next questioner comes from -- just to verify, [ Frank Stripico ], private investor.
Okay, continuing. The next question comes from Stephanie Price with CIBC.
In the current environment, just curious about Constellation's ability to kind of push through price increases. In the past, you've been able to increase maintenance prices on acquisition and then maybe do annual price increases. Like, have customers been pushing back on this in the current environment just given AI and kind of the uncertainty out there? And how do you think the strategy evolves over time?
I have no feedback on that from our business. So it's really -- there's -- I've seen no changes from that at all, Stephanie.
Okay. Okay. And then just in terms of the valuation of Constellation right now. I assume you've run the math on putting an NCIB in place. How do you kind of think about an NCIB here and buying back Constellation shares versus going out and continuing the M&A strategy?
Great question. I'll toss it over to Jamal.
Yes. So we have created a subcommittee within the Board to look at this, and there is a number. But at this point in time, we believe there are ample opportunities to deploy capital as opposed to buying back our own -- our shares. But if that were to change in the future, we'll reassess. But at this point, we are not looking to put in place an NCIB.
Okay. Perfect. And then maybe just one more follow-up just on the PEM strategy and the minority position versus a -- a right sale or acquisition. Like just trying to struggling a little bit around why a minority versus a full acquisition just similar to Thanos' question earlier.
Sure. It's Bernie. Some of these businesses are so large. But at this point, we wouldn't be in a position to make a full acquisition. So -- and our cash flow is increasing every year, and we've got to find a home for it. So we're continuing on our strategy for full acquisitions. And we've got an extra capital to use on PEMS and so we're going to use a combination of the two to allocate our capital.
The next question comes from Jerome Dubreuil with Desjardins.
Back to the AI conversation a little bit. In your M&A process, have you changed your medium- to longer-term assumption on the useful life of software acquired? Maybe to take into account any change in perceived risk around the impact of Agentic AI could have on software. I know you mentioned that you're assessing any businesses for disruption risk. But I'm talking maybe more in general, if there's been changes in assumptions?
The assumptions are what we see on a company-by-company basis. It's not general across the board. But what we do is we qualify prospects as we've always done. This time with respect to AI disruption on the downside and upside to see what AI could do to the businesses that we're looking at, and we're modeling accordingly. And this is always when we model it, short term and long term.
So really, nothing has changed, except that we do look at it through the lens of what AI could do to the business, and we apply what we've done internally to our own businesses to the businesses that we're looking at for acquisition. And if there's upside, we apply that. And if there's downside, we apply that, too. And it all goes into the model.
Yes, we're obviously continuously learning from our existing businesses, and we'll apply any of the lessons we learned to anything we're looking at, any modeling we're doing for future investments.
That's great. And as the market is trying to assess how robust the portfolio is, do you know or can you share what percentage of the company's revenue originates, maybe from either public sector clients or maybe software requiring regulatory approvals?
Yes. We don't differentiate it internally that way. So I don't have that metric for you. But -- but again, going back to what Mark said, I don't think that is going to be what protects our companies, right? And so it's going to be that customer relationship, investing your product, bringing things to market. So whether it's public or regulatory approval, that's not a key measure for us.
The next question comes from David Kwan with TD Cowen.
Mark, just wondering, as you look at deploying AI internally, should we expect any kind of margin improvements related to the productivity gains that you're seeing, probably most notably in R&D? Or are you really kind of investing these gains into accelerating the product roadmap?
Yes. We're really investing into accelerating product road maps, where our businesses have started using AI to its full potential. So I think that would -- that's our focus, because when we're buying hold forever and we're trying to increase our position inside the customers by providing them more tools that help them run their businesses, whatever those might be. So our preference would be to continue to focus on that.
And where there's not opportunity to do that, you're going to like always try to focus on increasing productivity through whatever means you can. Like it's a great measure for an individual business. Very hard to look at overall Constellation now when you're looking at that. You kind of look at look at it on a business-by-business basis productivity.
No, that's helpful. And on the M&A front, pretty strong start to the year over $800 million in closed and pending deals there. Were there many other kind of larger deals like Synchronoss that were on the larger side relative to your typical deal, but too small for you guys to press release?
Yes, there were a few, but we don't get into detail with respect to each of the businesses that we've acquired.
Okay. And then one last question. Just want to know, I guess, to what extent you guys are spending more time looking at these public company opportunities, whether it be acquisitions or investments like you're doing here with Sabre, just comparing to what you might be seeing on the private company side as it relates to valuations?
Nothing has really changed. We're looking at both, as we said earlier, private companies and public companies, both for acquisition and for PEMS. And we haven't really seen on the private side, any change in pricing so far, and competition for those businesses is still very strong. So nothing's changed there. There's just been a little bit of change in pricing for publicly traded companies, as you well know. And so there might be some opportunities there.
The next question comes from Paul Treiber with RBC Capital.
A couple of questions on PEMS. Do you view a single Board seat as sufficient from a governance point of view when making a minority equity investment? And then what's the recourse if the company is well entrenched in a suboptimal strategy? What's your recourse in that scenario?
Yes, I think it's going to be situational. We're just going to have to determine what to do based on the situation. I don't think they will all be the same, and we'll just adjust accordingly based on what -- yes, what we're dealing with.
And a second question related to PEMS is, how does the IRR on PEMS rank in general versus other capital deployment strategies?
We're using the same measure to look at PEMS versus our own acquisition. So we're still maintaining that discipline, and we haven't veered from that at all.
And then just one last question just on PEMS. I mean you mentioned buy and hold forever, but obviously, these are public investments, so there is liquidity. Are -- as part of the strategy, is it contemplated that there could be an exit at some point for whatever reason?
I mean -- preference would be to hold on, but it...
Yes, the preference would be to hold on forever, but you never say never, and things could change. But for the time being, our expectation is to hold forever, yes.
The next question comes from Richard Tse with National Bank.
This is Mike Stevens on for Rich. I just wanted to touch on -- you guys have discussed style drift and the evolution of the model. Just wondering if there's any recent examples or updates that you wanted to highlight on that concept?
Not really. It's really the same modeling that we've done in the past, and we're just looking at a closer view of what AI could do to these businesses that we're looking at. And really, there's not much more to add.
Okay. And then on the Altera acquisition, obviously, it's faced some expected customer attrition. It's good to see the positive recurring organic growth in the quarter. Just wondering, any update on how that business is going and whether organic as a whole can kind of either stop declining or turn positive at some point?
Yes. The business is running pretty close to what the investment thesis was, from a returns perspective. It was never contemplated that this would be a strong organic growing business, and that hasn't changed either. But again, with AI and new things to come to market possibly. But no. But don't look at the current quarter as a trend, like it's still expected that this is going to be a -- it's a tough market that this business competes in. So that thesis has not changed.
The next question comes from Samad Samana with Jefferies.
Maybe first just -- the organic growth was healthy in the quarter. I'm just curious if you could unpack, kind of, what's driving that organic growth rate at the current level? And just as we think more near term, if that's the right way to think about organic growth for the rest of 2026? And then I have one follow-up question.
I mean the maintenance organic growth number for the year is right in line with it's been every other year for the last x number of years, right, adjusting for inflation and COVID. So that 5% FX adjusted maintenance organic growth or recurring organic growth number, I continue to think is a good number for future organic growth. From a total organic growth, what was it, like 2%, 3%, which again is pretty much in line with prior years. So nothing's really changed.
Understood. And then on the M&A strategy, I guess, the word destruction and the impact of AI has come up on this call multiple times. I'm curious if you're seeing a change on the sell side in terms of R, are you seeing private companies either more willing to sell in this environment where there are more uncertainties? I guess how does your top of the funnel from a deal perspective look, and are they willing to take a lower multiple to account for that risk? Just help us understand how that's helping or hurting your own M&A strategy.
No. To date, we haven't seen any changes. Expectations are still the same. Volume is still the same, hasn't really changed much. I mean we're using tools to score leads in our funnel, but really, that hasn't really changed much so far because it's still early days in those tools that we're using. But other than that, expectations are still the same. They haven't dropped despite what's going on in the markets.
The next question comes from Keith Lambert, a private investor.
My question is on the new PEMS capital deployment strategy. Is this change in the investment universe driven by either slowing availability of VMS, traditional VMS targets? Or is it driven by, in any way, concerns that management have the long-term value of terminal values of BMS business due to AI?
No, it's not driven by AI. It's driven by -- we like the company, and we thought it was a good investment for our shareholders. And we do need to look also at other ways to deploy capital, as Bernie suggested over time, and it's an alternative way to deploy capital businesses that we can get our head wrapped around because we do understand vertical market software.
Yes. But I guess my question though is, would it not be better to focus on what you have a proven capability on, which is acquiring VMS target?
We're doing that. We're not changing our -- at all. It's not a distraction at all for us. It's just incremental. As time has passed, we've -- we -- for example, we never really did a lot of larger transactions in VMS, and we've been able to do those as well. So it's just an evolution of Constellation's long-term strategy, is really -- and it's another way to deploy capital, and we'll do it rationally, and we won't allow it to distract us.
The next question comes from Rick Bandazian with Offsides Macro.
First, can you just give the market some color? We've talked about Sabre quite a bit here, but does this only go so far as a minority stake and Board seats? Or is there are a larger plan here? And secondly, has there been any dialogue between the both of you since you guys filed your 13D?
It's larger -- sorry, the question would have been around the large -- Yes. No. I mean it's really like we're going to -- it's going to be situational. We're going to look at each of these companies situationally, and we're really just trying to continue to focus on what makes sense, and it will -- each of the PEMS investments. We'll work with the company to see what makes the most sense based on the situation they're in.
And that -- I mean, it's really going to be situational. And each company has its own ways. We can maybe add some value, and we hope we can help and work with the company and the shareholders to improve the future of the company with those long-term lens in perspective here, like we're not going in to try to do something quickly where we want to think about long term like we think about everything.
Okay. Like I'm not that familiar with your company. So I'm just curious if this is a typical playbook that you guys typically take minority stakes?
It's -- I mean, we did it earlier on more in the early days. And it's going to be -- it's going to get with situational then, too. But it's something new, and we're going to -- something new in the sense that we were sort of formalizing a strategy around it. We're going to continue to learn as we do it. And I think it's -- again, it's just another option for us to deploy capital for our shareholders.
Okay. One more, if I could. Just big picture, software SaaS companies, obviously, under a lot of pressure lately. There's this talk of unknown terminal value in your space. Can you just give the market -- and you did this in the opening remarks, I appreciate it. Could you give the market just a little bit of a handhold on what's going on here lately? Is the market wrong on this terminal value and it's sell now, ask questions later? Or is this -- is there going to be dispersion among the players in the market, some will win, some will lose. Just any color on that would be very helpful.
Yes. I know -- what you have to think about with us is we're very decentralized, and we trust each of our businesses to sort of have a strategy around this and learn from each other, and our coaches pushed them hard on making sure they're moving things forward. But we don't look at it as it's going to be a situation where, as always, some of our businesses do better than others adapting to disruptions in their markets. And we'll make sure that we, as a conglomerate, we will put the capital in the hands of the people who we feel will continue to invest at good returns for our shareholders.
So we've got a -- we will sort of adapt our business as we see changes to it as we always have, and we might -- and so there isn't any -- I don't have any good solid one answer to that question, but I think we have a very well-designed organization to adjust and adapt. There isn't like one product here that's driving Constellation. There's thousands and thousands of products out there that we offer our customers that are run in multiple countries all over the world with different heads of development adjusting to it. So we'll just adjust as we see fit.
I mean any comments, Jamal or Bernie, on that?
We can't really opine on terminal values that's being applied to publicly traded companies now. It's just there are going to be some winners, there are going to be some losers. It's all in how you use the tools to get closer to your customers.
And as a good conglomerate, we want to make sure we're putting the capital behind the people who are winning. And if you're losing, we'll take your capital and put it elsewhere, which doesn't sound very nice, but that's what we'll do.
Excuse me. I see it's the top of the hour. Is there time for any other questions?
Sure.
Okay. We have a question from Roy Weiner with BP Capital.
Mark, congrats on a good quarter and resuming the conference call. I wanted to ask of changes. How do you see your leadership style different than Mark Leonard? And then maybe perhaps related question, as you think about AI implementation, do you think this calls some, perhaps a more centralized approach within the company? And like do you see AI as a place where there's more like scale advantage to large players?
Well, so just a quick comment on the Mark situation, like always hard to fill Mark's shoes, but he came from being an investor, and I came from being a product developer. So we came at it from two different angles. And I probably am more product oriented, which -- that would be the only difference. We both have all very shared values and very, very belief in decentralization and buy and hold forever. So none of that has changed, which is really the fundamentals of our company.
So, as far as a large centralizing development or centralizing AI tools, we're not really a big fan of that because it's going to -- as soon as you make a decision like that, it means you're taking away the ability for that business leader who could be in some country, somewhere, working with a specific group of customers to move quickly to give them what they need because then they're going to rely on some sort of a centralized, let's say, agent or development tool, but we will share best practices.
When you're sitting around, for example, last week, they had an event in Denver, they're all like -- they're all very keen on showing up each other that they can beat them and do better. So it's a competitive belief within our organizations that our business units, that they'll do better, but we're very hesitant to centrally control anything here. We really want to measure it and share best practices fast.
And obviously, I would talk to our leaders throughout the world about AI and what they're doing about it. So that's kind of -- it's kind of an interesting time for me as a developer, as a background, I kind of enjoy it because historically, it would be always hard to talk to people about what they're doing about products, but this gives us a little bit -- it is something to poke away at.
So I'm -- I have to say I'm enjoying it a little bit because I'm a big fan of listening to customers and developing products for them that makes sense inside of our businesses. And so a real opportunity to do that here if they learn and they -- from each other as to what to do -- to help to use these AI tools to accelerate development or maybe expand into other areas of the customer because they're more able to do that now than they were before.
As there are no further questions, this concludes our question-and-answer session. I would like to turn the conference back over to Mark Miller for any closing remarks.
Yes. Well, thank you very much. And I obviously want to thank all the employees across Constellation for all they do and how hard they're working and learning and adjusting as through this -- through AI and whatever else they're dealing with. And of course, thanks for all -- thank you to all of our shareholders for continuing to invest in us, and we will continue to update you. We're looking forward to the AGM on May 15, which -- looking forward to seeing whoever can come there, and it will be also available as a hybrid online as well.
So thank you very much, and thank you, Bernie and Jamal, for helping out with this call.
The conference has now concluded. Thank you for attending today's presentation. You may now disconnect.
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Constellation Software — Q4 2025 Earnings Call
📊 Quartal auf einen Blick
- M&A (YTD): Über $800 Mio. abgeschlossene und laufende Transaktionen zu Jahresbeginn.
- Wartung (organisch): Ca. 5% fx‑bereinigtes Wartungswachstum (recurring maintenance organic growth).
- Gesamtwachstum (organisch): Rund 2–3% organisches Gesamtwachstum im Quartal.
- Aktienrückkauf: Kein NCIB geplant; Board prüft Opportunitäten, Schwerpunkt weiter auf M&A.
🎯 Was das Management sagt
- AI‑Strategie: Dezentraler, vorsichtiger Ansatz: Fokus auf vertikale Expertise, Kundendaten und "Knowledge Networks" statt nur schneller Feature‑Entwicklung.
- Upskilling: Tausende Entwickler in 2025 für AI‑unterstützte Entwicklung geschult; Programme (Accelerators) laufen weltweit.
- PEMS‑Initiative: "Permanent Engaged Minority Shareholder" (PEMS) als neue Kapitalallokationsoption; Sabre als erstes größeres Beispiel.
🔭 Ausblick & Guidance
- Produkt‑ vs. Margenfokus: Produktbeschleunigung und Ausbau der Kundenposition hat Vorrang vor kurzfristigen Margensteigerungen; Produktinvestitionen werden priorisiert.
- Kapitalallokation: Weiterhin Buy‑and‑hold‑Mentalität; PEMS ergänzt, ersetzt aber nicht klassische Akquisitionen.
- Organisches Ziel: Management betrachtet ~5% fx‑bereinigtes Wartungswachstum als tragfähige Erwartung für künftige Jahre.
❓ Fragen der Analysten
- Monetarisierung AI: Frühstadium—bisher kaum zusätzliche Umsätze aus AI; Fokus zuerst auf Produktivität und kundenspezifische Lösungen.
- PEMS Governance: Situationsabhängig; Board‑Subkomitee prüft Rückkäufe vs. Einsatz von Kapital; Minderheitsbeteiligungen können Board‑Interaktion beinhalten.
- Organisches Wachstum & Altera: Altera läuft gemäß Investitionsthese; organisches Wachstum bleibt segmentabhängig, kein flächendeckender Trendwechsel.
⚡ Bottom Line
- Fazit: Constellation sieht AI primär als Hebel für schnellere Produktentwicklung, Kundennähe und langfristige "Knowledge Networks". Kapital wird weiter überwiegend in M&A gesteckt; PEMS erweitert die Toolbox. Für Aktionäre: solide operative Ausrichtung und disziplinierte Allokation, Beobachtungspunkte sind PEMS‑Umsetzung und konkrete AI‑Monetarisierungsfälle.
Constellation Software — Special Call - Constellation Software Inc.
1. Management Discussion
Good afternoon, and welcome to the Constellation Software Inc. Conference Call and Webcast. [Operator Instructions] Please note this event is being recorded. I would now like to turn the conference over to Jamal Baksh, CFO. Please go ahead.
Thank you. Following our announcement last week of Mark Leonard's resignation, I've spoken with many investors, and a common request from all of them was to hear from Mark Miller to help with their understanding of Mark Miller's background and how management of CSI might change under his direction and hence the purpose for this call. I'd Therefore like to turn the call over to Mark right now for a brief overview of his journey at Constellation, and then we'll open up the line for our Q&A. So Mark?
Thank you, Jamal. So appreciate the opportunity to chat with everyone today and look forward to the questions. A bit of background on myself, started business with a couple of co-founders in the late '80s in '88, '89, and we were acquired by Constellation as the first acquisition in 1995 and I've been fortunate enough to be with Constellation now for over 30 years, and had an opportunity to learn how to as well as organically grow the business set that I initially cofounded to also learn how to do a capital deployment and acquisitions and over that time, have continued to build out that business inside of Constellation, which was in the transit area, helping sort of schedule buses and trains and allocate drivers to those particular vehicles.
As we grew, we ultimately moved into new verticals, and we created an operating group inside of Constellation called Volaris and over time, have continued to grow Volaris and as well as serving as the Chief Operating Officer of Constellation and I have had the opportunity to work with the entire team at Constellation for many years now, and I'm very honored to have been appointed the President of Constellation and can't say enough about Mark Leonard, who founded and helped us get to this point and hope with the entire management team of Constellation, all of the operating group managers, who are exceptional in what they do, we'll continue to move the business forward as it has done historically. So that's a bit of an overview, Jamal. I think maybe turn it over to questions now.
[Operator Instructions] The first question comes from Richard Tse at National Bank Capital Markets.
2. Question Answer
Yes. Thanks for hosting this call, and I hope Mark Leonard is doing well. Mark, obviously, there's probably a lot of common ground in terms of how the company approaches capital deployment. That said, I can't sort of help but wonder whether are sort of differences of opinion. And so -- if so, what's sort of unique in terms of maybe your strategic priorities over the next year? And how would they potentially differ from how Mark Leonard looked at things.
Honestly, Richard, I really think it's business as usual. I Just continue to push ahead with the -- with our existing strategy. And I appreciate that sounds like an easy answer, but I think we just continue to push forward, continue to learn and try to get better at what we're doing within the organization. There's a lot of opportunities to improve how we do capital allocation, operate our businesses. So we'll just continue to focus on the same things that we always have here at Constellation and completely, in a completely decentralized fashion.
Okay. And I just have one other question. It seems like the pace of capital deployments over the past year has been running a little bit lower than in the past years. Curious as to what you may think about that. And if it is the case, what's your weighing in that rate of capital deployment?
I mean, over time, it's -- capital deployment has gone up, and it's gone down, and it's -- I cannot attribute it to any specific reason. And I feel very comfortable with what we're doing as far as covering our potential opportunities to deploy capital and just continue to try to improve upon that. So there's no -- I have no major insightful answer to that question, Richard.
The next question comes from Thanos Moschopoulos with BMO Capital.
Mark, could you provide some color with respect to how Mark Leonard has been focusing this time over the last couple of years and whether you envisage having the same approach to the role and the same set of priorities or whether different in that regard?
I mean I think one of the things that -- as the Constellation has grown and as our operating groups have grown, we tend to spend more time, and this would be the operating group managers and Mark sort of studying sort of the larger investments we're making and trying to support each other and thinking through how to do those and how to do those better. So I think that won't change. I think I will spend time with any of our larger capital employment opportunities, and really focused, I think focused on very much the same things Mark was looking at sort of compensation, making sure that we're optimizing our compensation to our team across the board as well as looking at continuing to share best practices amongst the operating groups as we're seeing evolution in technology, for example, with artificial intelligence, more capital deployment or just different things that are -- we see as an opportunity to improve our businesses.
So I think very similar in a lot of ways. I probably am a bit more operational, I'm a programmer by background, and so I'll clearly want to think about how we can improve our businesses as well.
Great. And any other senior leadership changes that might stem from this transition? Or is that not something you'd expect out of the gate necessarily?
No. I mean I actually had the opportunity of, of course, speaking to all of the leadership team after the announcement was made. And I have to admit my comfort level increased, as I spoke to the team. I think we've got a great team around the table at Constellation and inside of lumine and Topicus. And we want to continue to just work with them. So there's no plans to change any of the management team at all.
The next question comes from David Kwan at TD Cowen.
Mark, can you maybe talk about what some of your top priorities are maybe for the first 90 days and the first year where you really might need to get up to speed more versus how you're running things at Volaris?
Okay. So I think the priority is capital deployment in my mind. So and then also making sure that we're continuing to develop our management team succession plans, what have you. So I'm immediately going to spend my time on any of the large opportunities that we're considering now from an investment perspective and that are outside of what I've been currently looking at. So I think short-term priorities will be capital deployment and making sure we have a good succession plan in place throughout the organization for the next level of leadership that will report into me. So that's what I'm sort of thinking right now.
That's helpful. And as it relates to the M&A program, obviously, I think Mark would have had a lot of great relationships that would help on the large acquisition front. Obviously, is not actively involved now. But do you expect any disruption with some of these larger deals as it sounds like you really want to get more involved with particularly outside of Volaris.
No, I don't -- we don't see disruption. We just -- I think just continue to focus on those, right? So I don't see any disruption there.
The next question comes from Jerome [indiscernible].
Best wishes to Mark. I think one of the main things Mark Leonard has been focusing on, as I understand, was finding new areas where to deploy a significant amount of capital at high rates of return. Mark, I guess you were involved in this initiative. So maybe if you can confirm this. And historically, management has sometimes been tempering expectations on this front, if you can provide an update.
Well, I think you probably covered it correctly, considering some other opportunities to do that, and the Board discusses it as well. So we'll -- as things evolve, you'll hear about them. But right now, there's really nothing further I can comment on that, apologies.
Yes. That's fair. The second one for me is you're a programmer by training, historically, the company has found that investing a lot in R&D wasn't generating returns on investment as strong as M&A. But I was listening to the call from Volaris the other day on AI, and it seems like improving the software is becoming key. So I'm wondering if there could be a shift in terms of how you think about the R&D spend going forward.
The R&D spend, you look at it on an individual business-by-business basis, and we have hundreds and hundreds of businesses, and I encourage all of our businesses to be close to their customers, setting their needs and developing additional products that they're able to provide those customers to help them run their businesses better. And I think that's been a historical focus. I think with AI, there's an opportunity to maybe do it faster, quicker. So I'm hoping that we can encourage some of our leaders that are open to that to use some of these new tools to do -- to try to improve some of the products and services we offer our existing customers across the world.
The next question comes from Samad Samana at Jefferies.
I want to echo the well wishes of the others for Mark Leonard and a speedy recovery. My first question is, should we think about the last 2 weeks where we've had 2 major update calls as a sign that maybe we'll be getting more regular updates with a broader audience and/or more engagement with the investment community. Particularly as we think about a transition as large as this? Or should we look at this as an outlier? And then I have one follow-up.
Honestly, I don't think we've decided on that. We're going to have a chance to chat about it over the next a little bit, and I think we'll revert on that question, but thank you for.
Great. And then maybe just as you think about -- you mentioned the succession planning. And as you think about maybe what might influence how to think about the succession planning going forward, just maybe help us understand the time line of the recent handoff. And as you think about future succession planning, does what's happening with AI influence how you're thinking about the type of leadership, whether it's more focus on somebody with strong capital deployment skills versus strong technology background. Just help us think about those influences.
No, we buy and hold forever. When we talk to our leaders and talk to the companies that we're hoping that we can invest in and acquire over time. We like to think over a very, very, very long horizon. So you need to be thinking about succession planning and in advance, thinking about who could be, for example, President of Constellation in 2040 or something like that. You need to be thinking about that well in advance. And so that's mostly what I'm concerned. As far as skill sets, whoever -- one of the biggest and most important skill sets on top of capital deployment is going to be the ability to develop other people. So we'll look for leaders who are able to develop people and deploy capital and have the wherewithal to think long term.
Great. We appreciate you doing this today. And I think investors would appreciate more engagement. So thank you so much. And look forward to staying in touch.
The next question comes from Daniel [Gerdes] at [indiscernible].
Thank you very much for hosting this Q&A. I have one question and one follow-up, please, on capital allocation. My first question is around -- I think it was on Friday, we saw that the Chairman and some other members of the investment team were buying back -- buying shares in their own name. My question is around the potential for share buybacks or a share buyback program. Is that something that is being considered by the Board. And if not, is that something that potentially shareholders can read into that the opportunity set currently for the business on capital deployment is more attractive than potentially buying back shares?
No, we're not considering buying back shares, and I don't think there's anything you can extrapolate into that other than both John and the Chairman and myself acquired some shares. We really just felt it was sending a signal to people that we were very comfortable with the company and its long-term future. That's all that's to be read into that.
And my follow-up question, please, is around -- also around capital allocation. Is there a separate committee of the board that approves larger deals or that the Board sits on to consider larger M&A deals for Constellation. And if there is, what changes are being considered or being implemented as part of the process going forward for these larger deals, please?
I think we have a very good process in place now that doesn't need to be changed. Before the actual -- a large investment arise at the Board of Constellation, the -- a handful of the operating group managers meet to discuss it with each other and kind of give it a bit of a thumbs up, thumbs down, which I think is pretty helpful. So I think that process works very, very well, and we'd like to do that. I think we'll continue to do that in the future. It's been a good process and it works really, really well. It's nice to get some feedback from your peers as an operating group manager to before you present to the Board a large investment. But there's no subcommittee of the board per se. That looks at investments.
The next question comes from Stephanie Price with UBS -- with CIBC.
It's Sam Schmidt on for Stephanie Price. Best wishes to Mark. Just one for me. What are you hearing from customers in the current environment, including around AI? And how do you think about the go-to-market approach evolving over time?
So I think it probably depends on -- I mean we have hundreds of businesses around the world. It depends on the sector. And so there's no individual -- there's no consolidated message you get from customers. We are -- I did -- I called the operating managers yesterday before anticipating some questions on this today. And our general census is we're -- we've got to get the people focused on it internally, and we're hoping that we're able to show some good examples to our businesses that are working closely with customers, implementing AI solutions to the other ones who have not yet done that and as normal within Constellation sharing best practices, ensuring better ways of doing things will continue in this particular front.
We're using some very specific examples right now, which I think are pretty interesting. So we'll just kind of get the word out as well.
The next question comes from Paul Treiber with RBC Capital Markets.
Just a couple of questions. Just in regards to the AI, have you seen AI begin to influence valuations in the private markets and then influence in any way the pace of acquisitions that you've maybe done over the past year?
No, Paul. I mean, I've not seen anything -- any impact on pace or valuation, not at all. So stay tuned, I haven't seen anything so far.
And then a second question also related to AI. Have you seen, as a result of AI increase in competition at the business unit level, specifically within Volaris, any of the segments there? Has there been any change in competitive intensity over the last couple of years with new AI entrants or new entrants in general?
We haven't -- I haven't heard of any -- I'd ask that question [indiscernible] about it. Like what -- my question was sort of -- what sort of damage have you gotten from not -- from competitors in AI? And there didn't seem to be yet any concern about that so far. So one of the things important to note, as always, with our businesses in Constellation. We tend to be fast followers. So our business leaders, particularly our better business leaders are usually quick to respond to changes inside of their markets due to moves their competitors make or new entrants make into the market.
[Operator Instructions] The next question comes from Kevin McVeigh at UBS.
Best wishes to Mark and congratulations. I wonder if from an operational perspective, it sounds like you started in transit and transitioned up to Volaris, any best practices you kind of would call out over your career transition, which is kind of obviously a very rich history within Constellation that you would look to implement across the broader organization.
We've been very good at sharing our best practices. We speak at each other's events. We get together with everyone across the organization in various meetings. And I can't think of anything that I wouldn't have shared already. One of the more interesting -- to say one of the more interesting things that we get a lot of at Volaris was we made businesses smaller by breaking them up. And by creating like a couple of businesses out of one to be more focused on the customer strategy, I'd love to see more of that done across Constellation.
I know Topicus has done a lot of that. And -- but we've done an extraordinary amount of that. I really do believe it positions us well to stay close to our customers, especially when you're in a buy-and-hold forever mode. When you're close to those customers, you're going to be able to be to adjust with them over time. And sometimes you might want to split the business by the large clients versus small clients or could be by geography. So thinking of best practices, there's 1 thing I could share is keep your team small. It allows you to develop your people better, allows you to be closer to your customers and create better products that are more suited to their needs.
And even with the advent of AI coming out, it allows you to be more sensible as to how you apply it to the particular situation. So just as an aside, I think that's an interesting one. I'd love to see more done. But again, things aren't magically done by waving a wand at Constellation. We try to coach our leaders and let them meet with other people who have done things and hope that when it makes sense, they apply that best practice to their particular business or portfolio or situation.
Well, congratulations on a great opportunity.
Thank you.
Next question is a follow-up from David Kwan with TD Cowen.
Thanks. Mark, you're obviously wearing a lot of hats particularly within your various roles at Constellation. Can you talk about how you plan to allocate your time amongst the various roles you have in Constellation in particular?
So I think the focus of my attention is going to be on capital deployment. So -- and that goes across any of the roles I'm in. And the particular Volaris, I made myself Executive Chairman of Volaris a year ago, 1.5 years ago. And then just the talent that we have, right, at 3 particular groups, if you want to call it, Lumine being a separate public company, Modaxp, which is our transit business and essentially the rest of Volaris and the people running those are outstanding and doing a great job. So I really want to just help and focus on making sure that when we're looking at doing a large investment, that it's done wisely across the board at Constellation. And that's just a good place to spend my time. And as I said, I also want to keep a close eye on succession planning and make sure that we have continued to develop our -- not the people who are directly reporting into Constellation, but the next layer below them. So we've got an organization that will continue to last decades into the future.
That's helpful. And maybe just one follow-up as it relates to kind of these larger acquisitions. Obviously, Mark had structured that spinout is one way for you guys to be more competitive in terms of some of these large acquisitions and ones that are generating probably much better margins and growth than your typical acquisition. Can you talk about -- have there been a lot of opportunities that you've been able to pitch that structure over the last couple of years, at least since the Lumine spinout?
We try, and you need a combination of a good opportunity, as you suggested, a willing seller who would like to be involved in that. You need a particular vertical or geography that's a good enough size. And you also need a management team that is willing to take that on, like, for example, the Lumine management team. So you need all 3 of those to come together to make something like this spinout work and we're definitely open to doing more spinouts. So I think it's been really great to give people that ability, that separate accountability. And and it's another -- it's just another way to consider -- to do decentralization. And so it gives you another -- it's another tool in the decentralized model. But you need a few things to be ticked off before you can kind of do those, right.
And we're very fortunate with Lumine to acquire a business called WideOrbit, and one of the better businesses that we've acquired over time. So I hope we can do more of those, but I can't predict when and where we'll just -- it requires a few things to come together to make them happen.
The next question comes from Charles Nadim with Urasowski Fraser.
I guess a question and a follow-up. And this is not me saying this is the current situation. But if you were in a situation where there's not enough, I guess, targets that meet your -- or especially large targets that meet your hurdle rate to keep the growth going. And the Board asked you to kind of make a recommendation, how would you rank the following lower the hurdle rate to keep the train going, which remains significantly above your cost of capital or pay a special dividend or let the cash pile up. I mean how do you think about those 3 items?
It's a hard question to answer, like lowering the hurdle rate, not a fan of, right. So last, we did a special dividend in 2018. And even after that we're debating should we have done that or not, right. So it's a difficult question, and I think it will be situational in how we answer it. So -- and we'll do what we think is in the best interest of our shareholders. And based on the right data. There's a lot more we need to do better as far as capital allocation as well. So I'd like to see an improvement in our coverage and our processes around covering the market, covering our potential investment opportunities over the next little while as well. So I'd love to -- so that would be my answer to that may seem [indiscernible].
Just to clarify, when you say improve our capital allocation, you mean like having hired more people to look at more deals? Or what do you exactly mean by that?
It's just like any processing side of any business that you do. it's just making sure that you get the right people doing the right things in the right ways to make sure you're covering the market optimally. So it's just continue to improve on what we're doing. So.
And just a clarification, the answer you provided before on the buybacks, is that just a philosophical thing where we're not interested in buybacks? Or is it a reflection of when you look at the valuation today relative to the opportunities you still think the stock is [indiscernible].
From my perspective. philosophical thing. We've never been a fan of doing buybacks at Constellation.
This concludes our question-and-answer session. I would like to turn the conference back over to Mark Miller for any closing remarks.
I just want to thank everybody at Constellation, the entire team. And of course, also wish Mark Leonard a speedy recovery and look forward to working with everybody on a go-forward basis. So thank you very much, and thank you very much for attending this call.
Thank you. The conference has now concluded. Thank you for attending today's presentation. You may now disconnect.
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Constellation Software — Special Call - Constellation Software Inc.
📣 Kernbotschaft
- Kernaussage: Mark Miller, langjähriger Volaris‑Gründer und COO, wurde zum President von Constellation ernannt. Er betont Kontinuität des dezentralen Buy‑and‑hold‑Modells, Schwerpunkt auf Kapitalallokation und Personalentwicklung sowie fortgesetzte Nutzung operativer Best‑Practices.
🎯 Strategische Highlights
- Kontinuität: Management will bestehende Strategie fortführen; keine geplanten Führungswechsel.
- Kapitalfokus: Kurzfristiger Fokus auf große Investitionsmöglichkeiten und Verbesserung des Prozesses zur Deal‑Abdeckung.
- Operatives Vorgehen: Verstärkte Verbreitung von Best‑Practices (z.B. Aufspaltung von Einheiten), Einsatz von AI als Beschleuniger, nicht als primäre Treiber für Buy‑Entscheidungen.
🔭 Neue Informationen
- Neu: Keine Änderung bei Rückkäufen (philosophische Ablehnung); Insiderkäufe als Vertrauenssignal. Keine neue Financial‑Guidance oder konkrete Transaktionsankündigungen; Board‑Prozess für große Deals bleibt unverändert.
❓ Fragen der Analysten
- Capital Deployment: Analysten fragten nach langsamerer Transaktionsaktivität; Miller nennt natürliche Schwankungen, keine strukturelle Änderung.
- AI & Wettbewerb: AI wird als Chance gesehen; bislang keine beobachteten Bewertungs‑ oder Wettbewerbsverzerrungen in M&A.
- Succession: Priorität auf langfristiger Nachfolgeplanung und Entwicklung der nächsten Führungsebene; Zeitrahmen offen.
⚡ Bottom Line
- Fazit: Der Call liefert vor allem Management‑Kontinuität und operative Zusicherungen, liefert jedoch keine neuen finanziellen Ziele oder unmittelbaren Transaktionsankündigungen. Für Aktionäre heißt das: Übergang niedriges Risiko, weiter Augenmerk auf Kapitalallokation und langfristige Talententwicklung.
Constellation Software — Special Call - Constellation Software Inc.
1. Management Discussion
Good day, and welcome to the Constellation Software Inc. Conference Call and Webcast. [Operator Instructions]. Please note this event is being recorded. I would now like to turn the conference over to Mark Leonard, President of Constellation Software.
Good morning. Thank you for joining us this morning. First of all, I'd like to introduce our panel. On the line, we have [ Cam; Chris; Henan; ] and Paul. We're going to stick with the first name. So these brave volunteers don't get overwhelmed by outreach from our shareholders or competitors. I'm going to address certain questions to them individually, but particularly if there's an anecdotal data point that I think they can address well. But I'll also throw open questions to any of them on the panel as well. And I may [ weigh in ] myself from time to time.
Before we get going with the Q&A, I'd like to tell a story. It's a true story. And it illustrates a useful but unsatisfying lesson, which I think we should all understand. In 2016, Jeff Hinton made a long-term forecast. For those of you who don't know, Jeff, is known as the godfather of AI and is a Noble Prize winner for his work in the field. And long-term forecasting is very difficult. I talked about this before and happy to send you some source, information if you'd like to delve into that further.
Jeff's forecast in 2016 was that radiologists were going to be rapidly replaced by AI. And specifically, he said people should stop training radiologists now. And in the intervening 9 years since he made that forecast, the number of radiologists has increased from 26,000 in the U.S., these are U.S. Board certified radiologists, to 30,500 or a 17% increase. Now that's outpaced the population growth in that period. So the number of radiologists per capita is up from 7.9% to 8.5%.
Now Jeff wasn't wrong about the applicability of AI to radiology. Where he was wrong was that the technology would replace people, instead it's augmented people. The quality of care delivered by radiologists has improved and the number of practicing radiologists has increased. So I told you the story to make 2 points.
Firstly, you and I will never know a tiny fraction as much about AI as Jeff did. And secondly, despite his deep knowledge of AI, he was unable to predict how it would change the structure of the radiology profession. So I think we're at a similar point today with the programming profession. It's difficult to say whether programming is facing a renaissance or a recession.
Programmers could experienced massive demand for their services if their efficiency improves tenfold. You can imagine not having to put up with software that does 80% of what you want, you'll be able to get software that does 100% of what you want, that's customized to your needs and the cost of programming will drive that increased customization. What a wonderful outcome that would be.
Equally, you can imagine the a tenfold increase in programmer productivity, driving massive oversupply of programmers and demand -- and particularly if demand for the services remains static. Similarly, if the 10x efficiency doesn't happen, if it's a 10% efficiency gain, you can imagine that there would be very modest changes to the current status quo. So, we don't know which way this is going to go. We're monitoring the situation closely. We're going to tell you stories from both Constellation and from third parties that we talk to that support many possible outcomes in the software development world.
With that, I'm going to ask the operator to open the lines for questions from the listeners. And I'll intersperse some questions that I've received by mail from a number of our institutional investors in the course of the day. So it's not just driven by the telephone lines. So Dave, if you could introduce the first question now.
[Operator Instructions] Our first question comes from Thanos Moschopoulos with BMO Capital Markets.
2. Question Answer
Mark, maybe to start off with, can you just provide some context in terms of the 4 individuals? Are they like an internal AI [indiscernible] just generally speaking what the roles are? And then just secondly, recognizing that you're a decentralized organization, but that AI is going to impact all of your businesses in some shape or form?
Have you thought about missing some metrics and/or incentives to ensure that your businesses are actively leveraging AI and not fall behind curve? Or is your current framework sufficient to ensure that businesses will do what they need to do in that regard not be laggers?
So by way of background, the 4 panelists people who are working at AI full time generally have been with us for a considerable time. Often strongly technical backgrounds, but they're not data scientists who are programming in CUDA on NVIDIA machines. So they are application specialists for the most part, but obviously, among the best and brightest.
In terms of metrics that are standardized across the operating groups, the -- some of the operating groups are very detailed in terms of the metrics that they're following and I'm going to report on one of the operating groups that sent me their data who is not represented among the speakers.
Others have taken a deeper, more nuanced approach to reporting progress on AI that is less, 3% of business units have replaced people with AI. It's more sort of individual case studies and individual projects and looks at the maturity of the use of AI tools and things of that nature. So everyone's following AI, but there is no Constellation level metric that you can look at right now.
I don't doubt that we'll end up with one that is sort of a subset of the rolled-up metrics at some stage. But right now, you're going to hear about individual use cases and individual results from both business units and operating groups rather than a nice easy answer at the Constellation level.
You'll also hear -- sorry, you'll also hear some funny tales of what happens with radical decentralization, where you end up with duplication of effort. But it's not like we're duplicating multi-millions of effort. We're just duplicating modest amounts of effort and sometimes there are lessons in that.
Sorry, I was going to say did you have a follow-up question, yes?
Yes, I did. Sorry. My follow-up is just a couple of the main use cases we're hearing from other businesses around programming, efficiency and customer support efficiency. I presume that some of what you're hearing, just wondering if there's any other use cases you call out that seem to be probably talk about across a lot of your businesses?
So I think your question was, you're assuming we're trying for programming efficiency? And is there anything else we're doing with AI? Is that the question? Or did I miss it?
Yes, just whether programming efficiency and customer support efficiency are two of the key use cases that you're already seeing some of your businesses leveraged and whether there are any other use cases beyond those you would point to that are probably applicable?
Yes. I mean, I think we'll get there, and those are sort of very 20,000-foot kind of questions. Maybe we'll move on, and I'll recapture this question at some later stage after we've talked about a bunch of individual triumphs and failures.
Next question comes from [ Jerome Debreu with Desjardins].
I have 2, but I'll just start with one here. It seems like a lot of the conversation about AI and programming is all about what AI can do well. But I'm wondering if there are things that AI isn't good at for coding. For instance, we've heard that debugging can be an issue with AI program. So I'm wondering about that as a way to better than whether this could be a major hindrance for the implementation of AI in VMS.
Yes. I think the challenge in answering a question like that, of course, is the state of AI is changing rapidly, and so one has no real sense. So what it will be capable of a year from now. But why don't I throw it open to the panel, if any of them have views on what -- perhaps the other way around, where we're getting benefit from programming with AI and where we're not. So why don't we do it alphabetically? Let's start with [ Cam ]. Anything you wanted to talk about there?
Yes, in generally speaking, there is actually some strength but any type of automated AI engine or AI coding assistance can bring to the [indiscernible] most of the efficiencies that we've seen thus far is really around automating things like the aspects of unit testing, unit coding, test plan creation, store procedure optimization, vulnerability trapping, code commenting. So really niche type of specification.
And the reason why I think sort of when we take a step back and really look at the code is the -- most of the VMS are written sort of tens of millions of lines of code. So the context windows are just simply not large enough to be able to troubleshoot by taking all of it into account. So that would be the weakness part.
But you know context window is getting bigger every day. Yes, go ahead.
Yes. For example, if you have just a clean sheet, you can just build your software from scratch, then you will be really productive. But as Mark just said, the limit of the context space, that's currently the limit for a broad support of software developers in all kind of activities.
So maintenance and support, book solving, all those kind of things are limited by the context space. But there's -- currently, there's a rat race going on where the big vendors are setting up a multi-agent architecture, where every agent can cope with some scope, which is allocated to that agent. So there can be an agent which makes, for example, a refactor plan. And the master agent can give assignments to client agents to do the job, all kind of jobs, which will fit in the context space and it's going on right now. So within a couple of months, we see a lot -- you can do a lot more jobs with a bigger context space. So that looks very promising from a productivity kind of [ fuel ].
Yes. Maybe following on from that -- we've -- we're doing sort of 2 approaches. I think one thing that is very, very important is the tools are fast evolving and to sort of make any statement about the tools today is inevitably going to be evolving and changing. But we're actually seeing progress with a dedicated team that we're working with on almost every area of the software development life cycle.
Now not everything is always as impressive as you hope, but you are certainly seeing some time substantial gains, things like multi-agent developing, sometimes looking at some of the areas you can push across [ doesn't matter ] where it's testing, documentation, the coding itself. Even interestingly, things that maybe take a bigger shift of people's mindset.
So again, it isn't so much about the tools themselves. It's sometimes about how we approach. So one thing we started to see, and it is only early and it is only through people who've become much more comfortable with the tool sets is even in architecture and architecture design, being willing to maybe spend more time at the front of a project looking at how could you do this? How could you change the approach? Could this be done in 5 different ways that you'd never really been able to evaluate?
And that actually can lead to unintended or sometimes quite substantial benefit further down the cycle. So I think yes, it's not in every business, it's not in every environment, but it's something we're pushing and trying to then broaden and can get that thinking into all the business units, but allowing them to develop their thinking in that same time frame as well.
So I think today, we can point to benefits across the life cycle. But I think it's also been very aware that the tools will continue to evolve and change. I'd certainly say we do -- we're going to keep giving us more opportunities to keep driving that progress.
May I just give a little bit of background, Paul? Paul gets to see what we're doing across a number of business units, works on projects with a number of our businesses on a for-profit basis, sort of think internal consulting for which you pay, and so obviously, people really want him and his business units input. Otherwise, they wouldn't be writing checks and he specializes in the AI sector. So do you want to answer the question, Paul?
Yes, just to add something on what was already said. Indeed, the models tend to perform better when it comes to writing new code and troubleshooting or kind of finding issues in existing code bases, that's mostly because of how these systems have been trained. Keep in mind that these large language models have been trained on publicly available data, which for coding means open-source repository.
So the systems have become quite good at generating new code, but there aren't a lot of data sets online when it comes to defects like examples of data set where the LLM can easily understand, this is a defect or this is about even the existing sector. Indeed, the context window is the limitation, but we're seeing practices around context engineering and best practices for developers that learn what to put into the context window in order to achieve good results.
I agree with what Chris is saying that we're seeing velocity gains and improvements across the development life cycle. Obviously, with different games in different stages. But coming back to the original question, which was, should we consider rebuilding software than extending or maintaining what we already have, considering that these LLMs are better at writing code than maintaining code.
Well, regarding this question, it's important to consider that even if we rebuild with AI, we're still going to have to maintain it. So I think, in some cases, AI will enable us to modernize and rebuild our solutions more effectively than we were able to do so before. But at the same time, how we maintain troubleshoot and bug fix our solutions, we're still going to have to do that whether the code has been written by AI or by humans 10 years ago.
So just to jump in and sort of drive home that point. It's really easy to get excited about 10x improvements in programmer productivity as you generate that new application. But if that new application, a, goes out into the field and generates scads of bugs reported by clients and is fundamentally difficult to change and improve.
You may give up on the roundabouts what you made on the swings. You may end up with higher lifetime cost of the code base. And similarly, you have to take into account the efficiency of the code that the AI produces. And I think we're very early days. We know there are some wonderful advances in programmer efficiency on the front end, and we just don't know the answers on the back end yet because we haven't lived with it for long enough. Yes, Jerome did you have a second question?
I did. More on the financial aspect on the M&A side, not knowing what's going to happen in the future, sometimes comes with a higher discount rate affecting terminal value in some instances. So I'm wondering if the organization is now using a different discount rate and if there's an impact in terms of meeting your hurdle rates?
So the advantage of using a high discount rate already is that it minimizes the value of the terminal value and your overall assessment of the attractiveness of the investment. So we've got that going for us inherently. We're already discounting the future a lot.
However, I haven't yet seen, except in a few instances our acquisitives coming along and saying, yes, AI is a real threat on this one. We've got to increase the probability of a wipeout and modest win in our distributions as we look at the probabilities of the outcomes. That doesn't change fundamentally a discount rate, by the way. It just changes the probabilities of the downside scenarios, which is important.
It's really the essence of what you're asking. But I'd say it's rare right now, but people are aware of it. And those sectors were such as customer support software, they are factoring that into their thinking. But in many of the verticals, it's not yet influence the prices that are being paid. That's my sense. I don't think any of the panelists are really in a position to talk to M&A specifically. So let's move on to the next question.
The next question comes from Stephanie Price with CIBC.
Curious what Constellation would do if a competitor came out with an AI embedded feature that was driving higher customer attrition at the VMS software. Can you walk through kind of the thought process on what the competitive response would be from Constellation at a high level?
I hope that we'd respond quickly and be a fast follower. But maybe there are individual use cases or instances that some of the panelists have encountered that talk to your question. Maybe let's start with [ Cam]. Cam have you seen anything where we're chasing a competitor with an AI solution?
They're not deeply yet. A lot of the industries that we tend to sort of focus on the divisions that I'm with tends to be really slow followers to use market expression. They tend to be sort of in the -- let's say, utility space, telco space and so on and so forth. So I think, if anything, we're often finding ourselves driving should be innovation sort of piece forward and oftentimes based on just the sheer volume of data that we have, so running new models on it we're able to all of a sudden look at optimizations from workflows or optimization of water consumption and so on and so forth that historically we may not have been able to.
But as we look around us and the competitive landscape and the market consultants that ultimately help the cities, municipalities, utilities so on and so forth, to acquire new vendors, they were usually pretty good. That's giving us a bit of a sort of indication of how we in a postmortem fashion, we've fared and we always sort of score actually quite well in the AI space.
And Chris, any thoughts on how you respond to AI-enhanced competition?
I think at a fundamental level, it doesn't change any of the business principles we all apply. We're fundamentally passionate about the customer journey, being very, very close. And it's one of the huge benefits of the decentralized model that we are very, very focused on our markets and our sectors. So frankly, it's something that's been around forever. There could be a competitor bringing a new feature, new capability, and we'll address that.
I think specific to AI, I think it is sector dependent. There are some sectors probably obviously, the well-funded, larger segments are always ones where probably there's going to be those opportunities. But I think probably what I can talk to is, we're seeing examples where our businesses early stages, nothing yet that we could give you absolute definitives on. But are already starting to look through a different lens, looking at how they can actually provide new opportunity either in the existing space or even starting to maybe look slightly wider.
And I think it does go back to an earlier point in a way, is even with older technologies and legacy systems, there is a drag. And I think AI across the life cycle can actually help make that drag more efficient. And again, we're still yet to see whether that's 5%, 20%, 100%, whatever. But that does potentially allow people to then get back to that close to customer and start to innovate.
So we have one project running at the moment with a customer that essentially was, I suppose, in a sense getting frustrated. That's something they've been hoping for, yes, 12 months haven't been delivered, but we've changed completely the way it's being delivered, developed, tested, use cases being built, everything in terms of the life cycle and it's seen a significant shift in velocity.
So something that was already behind is actually now back on track and working through. So it's more of a recovery, if you like, than a sort of a new area, but it is providing opportunities that we do keep seeing. But it's patchy. It's still evolving. But I think, again, another to go back to our decentralized nature.
The other thing we do is try and share the good and the bad. So we're trying to make sure people understand the best practice, some things that don't work, and that's giving real confidence as each business starts to see other people seeing those, let's say, social proofs, that it's something that they can then take forward and move forward. So I think there's lots of good examples moving forward.
And [ Hakan, ] you deep enough in the weeds of the individual business units that you are aware of, one where we are having to respond because of competitors' deployment of AI?
Well, for sure, there will become -- competitors will come with initiatives based on AI, but we're not waiting for them. So we really love the context richness of our VMS' and it gives a lot of opportunity to enter fields of functionality in order to benefit our customers with, for example, for something which can reduce a lot of hours, for example, in the field of education.
We will release functionality, which will enable mentors of an high school to save a lot of hours because we have all the data of students, which we can convert to a holistic view of the students involved. So you can give better advice to a student where the mentor can give a better advice, and it saves them a lot of hours. So we see a lot of opportunities. But for sure, our competitors will also develop kind of those functionalities, but we are very well positioned to profit from all the possibilities the AI technologies gives us.
So Paul, are you actively involved in any projects where we're responding to competitors AI initiatives?
Yes, there is one example that comes to my mind. And the response approach was as follows. So first, distinguish between actual value being brought by an AI feature and what's called AI washing. This is kind of a term which refers to companies having the AI label on their products for sales and marketing purposes.
So kind of a good approach is for say, okay, is this kind of -- is this competitor targeting some real value, actually making a meaningful difference in our market? Or are they just adding the label -- the AI label on a feature to make it more attractive.
And after that, kind of the response that we're recommending is make sure that you really understand the problem that you're aiming to solve with AI. We're seeing so many AI solutions, which are actually solutions in search of a problem. So it's starting with the technology rather than starting with the customer journey or with the customer problem that we're trying to achieve.
So again, in CSI, as all of you know, we're highly pragmatic in terms of our approach and taking the same level headed approach when it comes to responding to AI threat, I think is the way to go. There is a risk that we're overreacting and over-investing into certain things where again there is just solutions in search of problems.
Yes. I know of an instance in one of our largest business units where we launched an AI-based business intelligence solution aimed at senior executives that would enable them to query the entire ERP and gather information from it. And it's been successful. It works but the utilization is flat. Basically, it was a solution in search of a problem as opposed to something that was driven by real customer need. And so as you say, you can use AI, but it doesn't mean you necessarily deliver value. Next question.
And the next question comes from Paul Treiber with RBC Capital Markets.
One of the panelists mentioned data that was proprietary to Constellation or one of the business units. Can you speak to like what do you see as the characteristics of vertical market software that make it an attractive market structure and specifically things that are proprietary that insights that your company's -- Constellation's companies have accrued over time that would make it difficult for new entrants to try to emulate the underlying attributes or functions of that software?
Before we pass that on to the panelists to respond to, I'd like to distinguish when we talk about data. Between the data, that is the customers' data, and that lives in their system and the data that is our data about the customer and how we interact with the customer and lives in our system. The customers' data frequently is highly available to them. Even if it lives in a proprietary database, they frequently have some sort of data repository where the data gets dumped near real time, which they can access if they want to generate queries and reports and interfaces and things of that nature.
So customer data, I don't think is -- the customers' data, rather, I don't think is a barrier to anything and anyone, whether it's AI or other vendors. But our data about our interactions with our customers is very proprietary and has the potential to be a pretty exciting tool.
Why don't we do the old alphabetical approach? [ Cam ], any thoughts on data as a barrier or asset when you're using AI?
So point one may that think, fundamentally, the customers have access to [ their data set and ] whatnot. And I think the power that we're able to call less is really the aggregation of these various data sets as layered geographically as layered, it's based on the volumes, seasonal changes layering sort of weather patterns and so on and so forth.
So taking that sort of history recreating, running AI models to try to find novel correlations that may not have been there. All of a sudden makes path or makes way for net new insights and offerings were predicted -- sort of in a predictive fashion you're able to detect certain events or leaks or collections events or what have you that would have been purely off the buyback sort of catalog of our data sets that have been there and sort of nuance.
So we have a really, I think, reasonably good idea based on the specific set of circumstances that given sort of city operates by and how we can more closely correlate it to a given customer that might be sort of closely correlated. So I think having a model reside on top of that data set and be able to provide us with the insights that could then be productized is sort of one key area that we focused on and making sort of reasonable sort of headway and we're sort of optimistic on what's ahead there.
But there are also some dead ends that we've also hit in doing some of these investigations. Complexity of the VMS space and then the utilities/government sector is that every town, every village, every county, every sort of everything they may completely be a bit of a unique snowflake. So really there's no real rhyme or reason why they've adopted this billing methodology and such. So that certainly adds some complexity in the correlation of data. But despite that, there's been some good ones identified so far.
So I think the main point there was the fact that across customers, you can extract insight that you might not be able to extract within a particular clients' data. And I think that, for sure, is powerful with most of our businesses because, of course, we have multiple customers in a particular vertical. Chris, any thoughts? Feel free to -- if it isn't your cup.
No, I agree with everything [ Cam ] said, I also feel that aggregation of understanding, which I think is more than just data, its process, understand how they drive value in their customer markets, actually just layers on top of all the opportunities that you can actually drive forward. But I also feel like there's a whole range of opportunities coming with things like predictive that could drive capability there, clearly, still to be proven, but I do think there's capability in that all of those areas.
And [ Hakan], any thoughts?
Yes. Because, of course, the data of the customer is from the customer, no discussion about that. But I think it's all about the dynamics of the data. A lot of functionality only works if it's almost real-time -- the real-time status of the data. And of course, customers have invested a lot of time and their way of working. And I think because we can influence the dynamics of the data and use it with the possibilities given by the AI tooling.
We can maximize the value for our customers in terms of all the context richness we have, we can serve to the AI tooling in order to make great functionality, great value for our customers. And it also makes things -- the scope we connect in is also more broader and deeper. And I think a lot of new value can be unlocked to our customers. So I'm looking very positive in that way to the future.
And we have a lot of examples which prove that AI tooling can give a lot of value. For example, in health care, people can just ask their questions in natural language. And because of -- AI understand the semantics of the question, it can give answers they really want in terms of the information needs and just because of natural language is understood by our systems. And that's what I also means by the dynamics of the data. If you have a question about some patients, it can get very precise and correct answer because it understands real dynamics like the semantics of the question. So a lot of possibilities in this perspective, I should say.
Cam, I wouldn't mind looking back, [ Hakan's ] comment made me think of the demo that I circulated to the Board last quarter of a customer service interaction between an AI-powered support agent and the customer inside of one of your utilities and it was really remarkable.
The fact that it wasn't a chatbot. It was a telephone call and that the voice recognition was working in real time and the interaction was very sophisticated, lengthy, nuanced and you didn't at all feel like you were being held hostage by a low intelligence chatbot. So can you talk a little bit about what you were developing there? And how close we to being able to roll it out? Are we still limited by the quality of the AIs that are out there or the expense of deploying these kind of solutions?
No. It's a very good question. Sorry.
Go ahead, Cam.
Yes. So I think for us, the catalyst was because we have all of the workflows already sort of established, all of the various click throughs that an agent would have to do instead of using just a regular agent having to do it sort of by hand and such, we essentially look to tie those processes, those actual workflows to in our natural language structure and LLM that specifically -- that as its asset class of specialty.
And the key component to decipher there, then the complexity that we have to overcome is oftentimes, the right or the same LLM isn't the correct LLM to tackle the various challenges that I had and Mark have alluded to it based on the weaknesses of the actual LLM and such. So having to embed a router structure through that architecture as an example, where it's able to decipher which ones to pick in order to tackle mathematical computation versus those that can just be purely sort of word comments as an example, in multi-lingual, so on and so forth.
So the capability of doing this in real-time was really a critical component of making that successful. And the neat thing sort of for us is that it's the reliance on our own systems and not a third party that's capable of doing that, which would be sort of far more difficult to retrofit. So -- yes, I'm not sure if that answers your question, Mark, if there's anything else that you want me to go zero in on, but the fundamentally, I think the key thing is that proprietary sort of applications tied into our actual workflows, natural language sort of interaction with the customers, then able to automate flows in a much, much more intuitive way than to the historical way of doing things.
So I think to Paul's point, which is the access to proprietary data about the workflows of that particular client, I think you've answered that nicely. I guess what I am asking is, is it ready for prime time? Are we going to install this on every utility next month? Or is it keep a human in the loop 95% of the time, just in case?
Okay. Got you. So I think right now -- so it is out in pilot for -- with customers as we speak. So should they greenlighted and be comfortable, then we're off to the races. The biggest complexity, especially an understandable byproduct of the industries we tend to operate in, where sort of getting things in any type erroneous could have catastrophic impacts, the cities, the utilities, the health districts or what have you, they really want to ensure that their CSRs ultimately can rubber stamp the thought process and how the AI came up with its reasoning prior to pushing it through.
So that user in the loop component will, over time, as we get enough data and they build enough comfort with the statistical proof that it was not overwritten, and this has now circulated 5,000 times and so on and so forth. Will we start decoupling things from being user in the loop to fully automated end-to-end.
So I think that type of partnership is going to be key for us to push it forward. And quite frankly, it's just something we encourage our customers to do as opposed to let it be as is from right off the rip. So it also helps us gain greater and greater comfort, certainly.
Thanks, Cam. So Paul, you always get stuck at the end of the list. Do you recall the original question about data and whether it was a barrier or an asset and any thoughts?
Yes. Just a quick thought. From my perspective, so there is a lot of focus on data as being valuable and the fact that it will act as a moat. But in my view, what might be more important than data will actually be processes and workflows. Our businesses have incredible knowledge of the end users processes and workflows, often better than the end users themselves.
And I believe this will be the big opportunity for us in looking at those processes, try to reimagine some of them by embedding AI in certain areas and go from systems of record, systems that capture data can allow you to edit and retrieve data to systems of action, which, in some cases, the AI agent or the AI solution will do certain steps that will automate more of the human work.
So one of the things that we're recommending our business is, again, looking at data is an important first half. But as has been discussed, that data, the customers already have access to their data. In some cases, the end customers are experimenting with other AI solutions on top of that data, but the processes, the business rules, the workflow, that's something that we build into the systems. And I think we're going to be able to leverage quite nicely.
I agree with Paul entirely, I believe that vertical market software is the distillation of a conversation between the vendor and the customer that has gone on frequently for a couple of decades. And you distill those work practices down into algorithms and software and data and reports and it captures so much about the business. And being able to examine that in a new way because of AI, creates new opportunity to modify and change and suggest new approaches. So yes, I'm hopeful that, that unique and proprietary information will be of value.
And that was a call from likely spam. Why don't we do one more call from the lines, and then I'm going to ask some of the questions that I was sent beforehand. The neat thing about e-mailing in questions is you can be less pleasant in e-mails and you can ask tougher questions. And so let's take another one of these nice questions from the line, and then I'll pose some of the tough ones from the e-mails.
Our next question comes from David Kwan with TD Cowen.
I was wondering, Mark, if you're seeing many of your probably larger customers using Gen AI to internally build solutions that could displace or maybe are displacing some of your PMS solutions?
So maybe a response that helps put that question into context, because I think it's a great question, but it's one that we have been confronting forever. So I see vertical market software sitting somewhere between horizontal applications that are cheap and cheerful and do 50% of what you want and highly customized systems that do exactly what you want. Now obviously, you have to hit a certain price point to live in the middle where most vertical market software companies live.
You frequently have professional services to provide some customization, but those professional services, whether it be custom-programming or otherwise, are expensive. And hence, only a certain class of client can afford them. So those who graduate from horizontal point solutions laced together with Excel to vertical market software at the low-end are going to have very little in the way of professional services and customization and customer interfaces and customer reports.
And at the high end, are going to have highly customized systems where we are willing to do whatever they want as long as they have budget. And our people aren't cheap, and so they're going to have to pay for that. Well, that has always been the case and the very largest clients frequently see their software as strategic. It isn't just the tools to do business. It's a way that they differentiate themselves from their competitors.
And if you are dealing with a highly differentiated large client, they're going to want to have that be proprietary to them. And they're going to try and capture as much of that information technology advantage within their own realm as they can and control it. And so we frequently do lose large clients to an SAP implementation or a proprietary implementation and that's always the case.
We capture the small companies as they graduate from horizontals. We take them and some of them grow enormously and become very successful large companies. And then they graduate to no longer using our systems but to using a much more proprietary system that they have a much stronger hand in driving.
Now AI has the potential to allow us to do way more work on making the client happy and customizing our solutions but it also allows the client to potentially do that and so there's a natural tension there. We obviously would love to capture that. Our clients, if they don't have a list of 5 years' worth of IT projects to get to, would obviously love to capture that as well.
And so I think to some extent, whenever we go see a large client's IT director, we're in a negotiation regarding what we'll do and what they'll do. And it's not going to be an easy answer. It's going to be somewhere in between. AI makes it potentially way more exciting for us to provide customization, but it also makes it much more likely that the client will do it themselves.
Why don't we do the reverse alphabetical and Paul, any thoughts on this? I know you and I have talked about it a little bit.
Yes. Nothing to -- a lot to add on what you've mentioned there, Mark. I think that natural tension will still remain. I think there will be big customers maybe with the new CTO being tempted to say something like hey, let's give this a go, let's try to write it ourselves or build it ourselves with the help of AI. I think some will be successful. I think most will minimize the effort and the complexity of replicating some of our offerings.
But to me, what this really means is that this should be a trigger for us to spend more time with the customers to refocus on customer intimacy, to make sure that we're understanding whenever they are considering this type of approaches and to make sure that we remain as competitive as possible.
[ Hakan, ] any views?
Yes, what we're seeing is that AI add-ons are proposed by clients, okay, that's okay with us. But of course, we want to be proactive in those kind of new functionalities. So we see both working close together with clients in order to connect to AI tooling and, of course, provided it to our customers.
But mostly, those kind of tooling are more scratching on the surface, the real functionalities which needs integration and deep integration with our solutions, that's the things we are working on and of course, in close interaction with the customers. And that's -- those are not the areas which will be claimed by customers because then you have to have deep knowledge of the workflow and of all the functionalities within our software themselves. So both is happening.
Yes. Chris, any views?
I think also the original question in terms of customers building their own, effectively VMS, don't underestimate the complexity even with AI. It still requires high skill, high capability and yes, there's easy headlines to say systems able to be rebuilt. And yes, we're seeing efficiency and a huge change in what can be achieved.
But I think reiterating Paul's point and what we've been saying all along, if you maintain the customer intimacy, we see ourselves as continuing to move forward, be able to offer more capability through AI, probably actually help a lot of those customers. Again, many of our customers are in mature, less dynamic marketplaces, and actually just interested in their own business and making money. So sure, some large customers may try.
But I think overall, if we've got good relationships, good connectivity to what they're trying to achieve, I think it may shift in terms of exactly what we're doing and how we're doing it, but I feel like we will still need that to drive new opportunities and create the capability. And only if they've got a particular dogma, which as Mark said, has happened many, many times over the last 30-odd years of software where they make a decision to shift to a different product set or build themselves, I don't think that will shift its dynamic to anything we've seen in history or going forward.
Tempting to hang you by your own [indiscernible]. You've got a couple of use cases where you've seen like 50x productivity improvement and 10x productivity improvement. If our large clients have those same sort of improvements in their development, are they going to chew into our value-added?
I feel this was more so a trend in that sort of -- been in the space for give or take 20 years. And so I would have seen that well in the past. And the key reasons why the customers have largely been increasingly dissuaded from wanting to do this is often driven by regulatory changes that all of a sudden hits their mandates, they are now all of a sudden a time crunch and having to withstand those governmental pressure independently.
And so there is often a sizable benefit of them hitching your wagon to a best-of-breed solution like ours where if there is, let's say, the concept of water conservation that they're all of a sudden having to buy by governmentally, there's a really good chance that we would have equally done such a functionality in different zones or for different city -- different states, so on and so forth.
So we're able to re-leverage much of the architecture, much of the structure of what had been built there to greatly accelerate their current piece. And so we don't anticipate AI changing much of that. I think it's ultimately the customization that's required governmentally that comes with a penalty or a time crunch, it's not something that they have a great deal of appetite for.
Yes. And just to sort of attack the underlying thesis of David's question, we have a large business unit where we've had AI programming tools in place for a year. And we've certainly seen significant increases in the number of lines of suggested code over that period of time by the AI. And the percent of lines adopted has stayed pretty stable. But if we look at the actual programming efficiency, it's almost entirely flat. And so it isn't a panacea, we aren't always going to get enormous increases in programmer productivity in this large business unit, it is an example.
Now we haven't used a programming -- having used programming agents in this particular instance. So we've been using fairly simple tools, and we are moving to the next stage and trying out agents that are much more sophisticated and we'll see. There's a couple of other instances where we're seeing overall efficiencies in the 10%, 12% region. And as you may have heard, Google has reported something similar. But there are also instances where we do see some very significant improvements. But those will be through the full life cycle of maintenance and support, whether those will be maintained is yet to be seen.
Here's a tough question that came in, which was that AI will eat software budget. So if clients have a budget and they view software and AI as one particular pocket that they're going to spend in the coming year and they are being approached by a host of horizontal AI vendors that are doing voice recognition and OCR and a variety of other sexy things. Are they going to siphon off a bunch of money that they would otherwise spend with us to those other AI vendors who are incredibly good at promoting their solutions. So why don't we start with Cam and go alphabetically?
Yes. So is it going to either budget? I mean if -- I think if we are in front of the customer, proactively speaking with them, talking with them, partnering up with them the way that we tend to really engage with our customers then part of our job is to not give some tremendous amount of reasons to want to sink their teeth into other sort of AI one-offs, if you will.
Ultimately, this is not a new phenomenon where third parties of any kind at any conference that we may share, ultimately sell their assets and there is complexity of frank and signing it all together and making sure that it all works adequately well and hidden fees that they may not have factored in and such. So I think there's all of these components to really think of.
As it relates to the AI piece itself, there is this perception depending on the viewpoint that a person has been the use cases that it could be relatively inexpensive, the actual token cost of an LLM as an example. But if you factor in and as we have where we're crunching an actual invoice that evokes the LLM numerous times to do analysis or anything computational wise or as an example set, that could become expensive very, very quickly.
So one of the pieces that we've gone about combating and that speaks to the pricing thoughtfulness, if you will, and making sure that work or conscientious of not eroding margins and whatnot is to use some of the pre-existing assets that we have proprietarily sitting, so hardware and servers and so on and so forth and then run some of our own models, run some of our own LLM that we end up morphing into one that's trained with our data sets with our specialty with our additional intelligence and whatnot, where most cases, those LLM are independently able to address given AI needs and cost, therefore, no incremental token costs because it's really all within our own 4 walls, if you will.
So I think that's one of the approaches that we've taken to minimize the cost. So I'll pass it on to the next speaker.
Chris, any thoughts?
Yes. Very, very similar to what Cam is saying. But I just generally think that -- if you continue to talk to customers, you talk about relevant pain points. I think one of the responsibilities we have is to understand the potential not to get carried away with the high, but to understand be sort of healthily skeptical but driving where we can see potential opportunity and just continues we're always going to work with customers in their specific markets and show that evidence.
Let me give you one example in an education sector where they've been talking to their customers and always had an ambition to try and be something very different and very focused on that particular segment and it's really now allowed them to explore that. And they actually feel that it's going to get the revenue growth and real opportunity still to be proven. It will be over the next couple of years that, that will come through.
But it has allowed them to change the conversation. And I think that's probably the most relevant part. If you keep going and talking to people about things that were relevant a few years ago or just in the traditional environment, yes, sure, in some circumstances, that's relevant. But I think it's really also being able to talk in a modified language with the cautious, skeptic in your mind as well to actually ensure that you're still driving those new opportunities. And I think we do that, and I think the budget at worst will stay the same and it could even increase.
[Hakan]?
Yes, I think the thesis assumes that the world will be steady. Well, the opposite is, of course, true. There's a lot of dynamics around this answering this question, I should say. We saw it with low-code. Low-code was the promise of automating all the processes, and there wouldn't be very sophisticated software developers needed anymore. Anyone could contribute to low-code systems and reality was completely different.
And I think because of the scope will broaden and deepen, there will evolve very interesting business cases. And if you talk about software budget, it's only costs compared to the very interesting business cases, which will evolve. So I should say it could be that software budget will become much bigger because of the broadening and deepened scope. I think that will be the case because there are a lot of more possibilities to optimize businesses. And of course, all the businesses using our software, also will have stronger competition.
So they have to respond to their competitors. And of course, AI and IT will be the means to compete with competitors. It will become more -- even more important to have a unique selling proposition from our business -- from the businesses using our VMS. So I would say, so our budgets will certainly not be eaten by AI. It will be leveraged by AI. But I can't see in the future, of course. That's my personal opinion.
Yes, yes. My personal belief is that we all can't see in the future. Paul, I'm going to post the next tough question to you. Specifically, it's AI introduces a new COGS element, not historically present in software. Does this change the economics of the business model? I think specifically, what we're seeing here is the adoption of AI is being massively subsidized by the AI companies, the AI model companies. At some stage, they will want to recapture that investment.
And are they going to be in a position where we have -- we face very large switching costs, and they are going to be able to capture a large chunk of our value-added through the -- what they charge us for their systems, whether it be on a per token or per whatever basis. So Paul, any speculation?
Yes, maybe it's worth briefly outlining like what we know right now before we look into what might happen in the future. So as of right now, these model providers are charging anything between $1 to $3 for 1 million tokens. You can think of tokens roughly as vault. Now there are many studies that show that AI platform users consume on average per month between 50,000 tokens, which these are the light users and 1 million token users, these are the heavy users.
So based on the data that we have right now, we can infer that if a CSI customers will start to embed AI features into their product, there's going to be an estimated COGS per user of anything in between like $1 and $8. So I think we can easily cover this and maintain our margins by having premium add-on where our end customers, if they want to leverage these features, they can buy those premium add-ons.
Now indeed, it's hard to predict how this will pan out in the future. But the good news is that currently, these large language models, they don't have a very large moat around them. Some of you might have read that when GPT-5 came out, there were some doubts regarding its performance. They had some issues with their deployment. And overnight, there was a huge switch from OpenAI models to different providers with virtually one line of code being changed into the consumer of these LLMs.
So this tells me that there will be high competition between these model providers. And this will keep the pressure on the cost. And I think in the long run, the price per token will go down. Now again, we can speculate about how these companies will start to build up their moat so that it's harder to switch from one LLM to another.
But so far, again, we don't have clear data or indicators towards that. I believe that as of right now, if CSI companies are adopting AI figures, we will be able to maintain our margins. And if kind of one of the big providers are starting to hike up their prices, we always have the option to use things like model routing, so using smaller models for different tasks or even on-premise LLM inference by leveraging open-weight LLMs.
And Cam, you have thought about this probably more than anyone else inside of Constellation. You've architected much of your efforts around AI, around the threat of third-party LLM providers praying upon their customers. Do you want to talk a little bit about what you've done?
Sure. Yes. So we've essentially created our own centralized platform that essentially removes the various factions that are currently going on where, to a certain extent, you have to largely be within this cloud provider to have access natively to this LLM and so on and so forth. So there is these turf wars being kind of created across the various cloud providers and whatnot.
And so maybe our strategy has been to really play a very neutral Switzerland-type role where by centralizing things, through strategic relationships, either directly with the model providers or with the platform providers and so on and so forth, we've managed to negotiate, I think, some really aggressive deals and do remove the element of the factions they're all willing to kind of play nice with us in the sandbox.
So that puts us in a very unique position where technically, we have access to 15,000 unique models. And that's because we're essentially coalescing anything that otherwise couldn't be or reside within other platforms. The other piece that I had touched on very briefly and Paul alluded to as well is using a on-prem-based assets where and when possible.
So to the extent that the LLM needs to be or the AI model needs to be hyper specific or a specific trained one that resides with pre-existing best-of-breed provider, then sure, that may make sense to kind of tap into that one. But for basic, let's say, translation service, summarization service and a myriad of other hosts of functionality and whatnot, the on-prem one is plenty sufficient, been capable about doing it's own -- also sort of thing.
And I think that there's -- there ought to be some thoughtfulness of the whole, do we need to go with this -- there's a website, I think it's called like there's an AI for anything. And so -- and so really, at the end of the day, going through these repositories, do we build or do we partner? And in many cases, it's been fairly painless to kind of augment the functionality to be able to natively create, let's say, slides or Excels or presentations and so on and so forth.
So the functionality is becoming richer and richer. And the adoption rates internally from our business units with the closest thing we've sort of -- our narrative internally is that it's the closest thing to a viral application that we've ever had. So the adoption has grown, I think, month-over-month, something 450%, give or take, continuously. So the lion's share of our staff are using it for a myriad of things. And so we're excited by that. So I think it's being smart about the way we architect stuff and not reinventing the wheel 10x over if we don't have to.
Dave, why don't we take another call from the lines?
And the next question comes from Samad Samana with Jefferies.
I'll echo the sentiment of others, I appreciate you guys doing this. Maybe just -- I know we've talked about the implications for Constellation's portfolio, but how should we think about how this changes -- the nature of M&A you may pursue, whether that's changing the size of the company you may look at, whether that's targeting different verticals or maybe where they sit in the software stack?
How does it maybe -- how does AI change your M&A strategy? And then how does it actually change your appetite for M&A volume, meaning is it better to be in more of a holding pattern right now? Or is now the time to really lean in. And we've seen some large M&A deals announced by private equity. So I'm just curious what your philosophy there is.
Yes. I think the underlying assumption is that we're not opportunity constrained, and we are opportunity constrained. And so narrowing the aperture is a bad idea. We end up sitting on a whole pile of cash. And when you're striving to generate very high rates of return on your investments, sitting on cash is not a good plan.
So we already are working hard to look at things outside of strictly vertical market software. We've done some horizontal stuff. We've done some hybrid hardware-software. We've done some hybrid data software. And so I would say that AI is not reducing what we're looking at. I'd say it's -- it may influence the pricing on certain things where we see it having a current impact. But yes, it isn't changing much in the M&A world.
Yes. I'm going to -- I'm going to pose a question to myself, which is, tell me more about the operating group where you have stats on their business units, et cetera. And then I'll ask the other folks on the line who none of them is from this particular operating group, if they have similar stats or if they have an impression on how they stack up versus this particular operating group.
So first off, 27% of the business units in this operating group developing an AI product for their customers. And I wondered why don't you start, Cam, in the BUs in your operating group, what percentage of the BUs do you think are developing an AI product for their customers?
I think for us, we mandated for all of them to experiment with the creation of a solution. So technically, the answer is really all have been based on the footprint that I'm also able to capture using our centralized tool set where whatever LLM it is that they would have wanted to use the respective vendor or what not would have been captured here. They're all in various degrees of progress, having a solution offered.
Now I think there's some low-hanging fruits that most of our business units ought to really as a table stake starting points have. And so I don't think that they're striving for some ideas that they don't already have. But really, it's -- some already have some products out there and in full sales mode, whereas a lot of them are varying degrees of the build, if you will.
So yes. So I would say the -- now the nuance of the question, I think that I don't want to misrepresent this piece is, there's a consideration of where AI is internal focused versus external focus. So the customers will see benefits oftentimes by way of better quality and support and so on, so forth as an example, but not necessarily in a new front-end screen or widget right off the bat. So these projects vary between internal focus versus external focus. So the tune of roughly 50% -- 55% is spacing, 45% is process related.
So was what you were saying there, that the product is being developed for the customer, 50% of them are aimed at the customer's customer and 50% are aimed at making the customer -- our customer more efficient?
Perfect. Yes, you bet.
Okay. Okay. And the 100% mandate, I mean, one can order people to do all kinds of things and you can get lip service as opposed to strict and enthusiastic compliance. And so sometimes it works and sometimes it doesn't. I suspect the 27% that was reported by this operating group is people who are seriously implementing a development for an AI product for their customers as opposed to. Chris, any comments?
I'd probably say we're trying to look at it in 3 levels. So I think if you said, are people using AI in some way to drive something either internally or even just engaging with a customer, I would say that's very high adoption. But for us, what we've really been trying to focus on is -- I don't know, it's very heavily used, but the sort of 10x principle.
So where are things being done that are genuinely shifting either thinking or approach or even product for the customer. And I would say that drops back to probably in the 20s as a game. But what we're also trying to do is, I guess, differently to the sort of 100% mandate route, again, the joy of decentralization. We've been taking a much more educational proof point, trying to show best practice. And I think we're now still can see that really come through with a lot more people there trying to outpace that mentality. So yes, today, probably in the 20% region for something that is meaningful, but I think we'll see that accelerate through the next 18 months.
Yes. And I think that meaningfulness criteria is clearly CEO fought it. Managers love that stuff. But I also love AI tools. And I think, so do some of our clients that are aimed at relatively small demonstration type activities. We have, for instance, inside of our operating groups, 3 separate initiatives all designed to inhale contracts of businesses that we're looking to acquire and analyze those contracts.
And all of them have been relatively modest efforts and quite successful and easy to benchmark against not using AI and easy to benchmark against commercially available AI. And I think we're all feeling though with ourselves about those developments. And that's wonderful. I think from a morale and proof point of view, it's terrific, but maybe we're optimizing 100 people here out of our 75,000 with those 3 solutions.
But good on you. I'm glad people are doing the experiments and are learning from them and applying them. So not everything needs to be order of magnitude meaningful for it to be useful from both the morale and customer enthusiasm point of view.
Let's move on to the next category on the reporting that I got here. It says this BU is currently using for customer service currently using AI for customer service and the result was 29%. And I guess, [ Hakan], any sense of whether inside of the operating group that you're associated with AI is being used for customer service.
I think it's more than 50%, and it's a very logical area to have AI support within because you can have all the questions -- with all the data, all the questions, which were asked and then, of course, it's very easy to AI -- let AI support you in to have a very correct and good answer to end customers. So -- and I think there's still space to gain, but more than 50% is supported by AI in my group.
Yes. And I had expected this to be higher, and I'd also expected it to be to have better results. I've a couple of instances where I've gotten the data about our AI customer service agents. And I'm seeing call diversion of 10% to 20%, not 50% to 60%, which I guess I was disappointed, because we already had comprehensive knowledge bases for our support personnel from which the AI could be trained. And so I'd sort of hoped that it would be a lot more effective. Obviously, with time, it will get better, at least I'm hoping it will. But yes, I had thought this would be the most prevalent area for us to apply AI.
Let me move on to the next category. This BU is currently using AI for sales and marketing, 50% of the BUs reported that they were. And I've also heard some very nice individual anecdotes about AI being used for sales and marketing that have led to a significant new business that we haven't seen previously. Anyone have any comments regarding that and within their business unit to -- any sense of what the penetration of AI is in sales and marketing. Paul, go ahead.
Okay. So we definitely see -- we've seen higher adoption in sales and marketing when it comes to AI tools compared to any other bucket. That's also in line with what other organizations outside CSI are also importing. But at the same time, I think what's important to remember is that sales and marketing is really about differentiation. And I think that we will start to see games initially while we're maybe some of the first using AI in telemarketing. But once everyone uses AI in sales and marketing that in itself will not be a differentiator anymore.
If everyone is generating LinkedIn post with AI and they all start to sound generic and kind of the same, I don't think that in itself will drive better sales and marketing results. So one of the things that we're discussing with the business is how can you use AI to kind of enhance your edge and enhance the relationships that you already have? Because otherwise, in a couple of months when everyone is using AI, it's going to be quite hard to stand out just because you are an AI user.
Yes. Don't disagree. Any other comments? Or should we move on?
From a sales and marketing perspective, oftentimes for us, where we factor things in is we have a better success rate of selling assets when we're able to present a more comprehensive solution set. And as we continue to acquire more and more kind of assets been having [ evolves ] thousands products and whatnot.
So I think a novel way that we've been able to make some, I think, reasonably good progress on the sales and marketing front is by way of actually putting what the customer is through an actual LLM based asset knowledge base that we created. That essentially has information about every single one of our collective [indiscernible] other partners and so on and so forth, assets in order to be able to kind of call less, if you will, the right solution set that the customer could want.
And so that has led for successes in where the stand-alone product, we didn't feel had a really good chance. I think that's maybe kind of a neat way of using in the sales and marketing function. The other piece is if we factor in the RFP within the sales function, then there's -- I think that's another neat area, trim based on the sector that we operate in, I think there's some really good opportunities for us to dwindle that down based on the hundreds that we've historically done, answering these thousands of questions in some cases.
There were 2 more data points in the survey. The next one was this BU is currently using AI tools in R&D, and this operating group reported that 61% of their business units were using AI tools in R&D. Cam, any sense of your operating group percentage of R&D?
Yes. It would be really close to that. I think there's a number of tool sets that have been very largely embraced. The interesting piece is really what the output percentage of efficacy is quite ebbs and flow. There's some that are gaining abnormally high because they're using it a certain way or their tech stack and Paul has touched on it where AI natively is perhaps better trained at specific instances or circumstances and programming language in this case versus some that are more niche based assets, if you will. So the adoption, yes, about the same, but the output of efficacy is the biggest delta.
And Chris?
Yes. I'd say very similar. In terms of -- I think there's 2, again, metrics here we would be looking at. One is very similar, certainly more than half in terms of adopting, using the tools, starting to see the progress. But then it's also obviously enablement, the mind shift to use it to get the maximum delivery. And I think that's probably at a lower percentage at this point, but we're sort of seeing that drive up as well. So yes, very similar to [ Cam ].
[ Hankan ]?
More than 70%, but the level of using AI is still a long gap between because we see -- [indiscernible] like a toolbox full of tools and maybe then to choose the right tool for every job and the knowledge to know which kind of tool you use in which situation. But still a learning curve for a lot of developers within our operating group. But everybody is touching the use and is using, but the deepness will hopefully rise the coming months.
I enjoy how [ Hankan ] assesses the AI maturity of the business units because I think that's an important way of distinguishing between those who use it and casually and those who have really understood how to use the tool.
The last question, and I thought this was an interesting one because it relates to a lot of the underlying questions that I got by e-mail was, has this BU replaced any roles with AI tools? And I think when they say roles, I think they mean people. And roughly 3% of our BUs reported that they had replaced people with AI tools, which is lower than they thought. And actually, I think is probably a good thing, but I'm placing value assumptions on the question.
Why don't we start with Paul? Have you encountered any instances where business units have been able to replace people with AI tools?
So not at least. Sorry, go ahead.
No, because, of course, we have roadmaps for our tooling and all the freed-up capacity will be used to develop new value for our customers, not things to do. So no, we didn't replace software developers. We could give them other tasks to develop. And of course, we also see that if you have young unexperienced software developers, they have a much steeper learning curve. So we want to grow and we are growing. And we -- AI helps us to make our software developers productive and develop functionalities with AI to make the value our customers are willing to accept.
And I think even in support when we've seen 10% to 20% call diversion and you can, in our relatively small businesses translate that to the removal of a person, I think in most instances, we just keep the people and try to respond faster to the calls that aren't diverted and try and do a better job with them. So once again, much like in R&D, you don't get to reduce the people cost, you re-deploy it, hopefully, with in the case of support and Net Promoter Score improvements.
I'm going to stop the questions there, and we've been on the line for over 1.5 hours I'd like to thank you all for attending. I know we have several hundred participants still on the line. And so there's obviously a real appetite for this kind of information.
Let me encourage you not to listen without healthy skepticism to what you read. In the last few weeks alone, I've heard that a major soft drink company increased its sales by 7% to 8% because of AI and I had a look at its stock and it went down. I've heard that from the founder of a major software investor that AI just increases TAM, and that's wonderful, but you got to consider the source.
He's not about to say that the software is threatened by AI.
I've heard from a bank CEO that AI is revolutionizing their business and is going to lead them to a brave new world. It's really important to dig in and try and understand to be an anthropologist, to observe and test the claims that you hear and try to understand the current state of the art.
There's 2 ways to do it. One is obviously through sort of smoothing claims that you hear. Obviously, if you have trusted partners from whom you're getting evidence that makes life a whole lot easier. The other thing you can do is be a scientist instead of an anthropologist and observing actually run experiments, try AI and ideally try it against the alternative and see if you get significant improvements in whatever it is that you're endeavoring to do.
So predict in the future, really, really hard, particularly at times like these, but monitoring what's happening in real time, a whole lot easier. You just go to approach it with, as Chris said, a healthy skepticism.
So thank you for joining the call. Really appreciate it. This is important to us to share with you where we're at on the pursuit of AI and hope that you learned something from today's session. Thank you, Dave, for teeing up the call, and you can end the call now. Thank you.
The conference has now concluded. Thank you for attending today's presentation. You may now disconnect.
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Constellation Software — Special Call - Constellation Software Inc.
📣 Kernbotschaft
- Zusammenfassung: Management sieht KI als wichtigen, aber unsicheren Hebel: KI ergänzt Mitarbeiter statt sie flächendeckend zu ersetzen. Constellation fördert dezentrale Experimente und Proof‑of‑value‑Projekte, ergänzt durch eine zentrale, neutrale Plattform. Priorität: Kundenintimität, proprietäre Prozesse/Daten und pragmatische Validierung.
🎯 Strategische Highlights
- Plattform: Aufbau eines zentralen, neutralen Stacks plus On‑Prem‑Optionen zur Kostenkontrolle und Vermeidung von Vendor‑Lock‑in.
- Use‑Cases: Fokus auf Programmier‑Produktivität (Kontext‑Limits, Multi‑Agenten), Kundenservice‑Piloten (Live‑Voice) sowie Sales/Marketing und F&E; Adoption ist heterogen.
- M&A: Akquisitionsuniversum bleibt breit; AI fließt in Due‑Diligence ein, ändert aber nicht grundlegend die Kaufbereitschaft.
🔍 Neue Informationen
- Operative Daten: Interne Umfrage‑Zahlen: ~27% BUs entwickeln AI‑Produkte; 29% AI im Kundendienst; 50% in Sales/Marketing; 61% in R&D; ~3% berichteten über Stellenersetzung.
- Produktstatus: Zentrale Plattform (Zugang zu vielen Modellen) und laufende Kundenpiloten (u.a. Echtzeit‑Voice‑Agent) — keine Änderung der finanziellen Guidance.
❓ Fragen der Analysten
- Programmierung: Diskussion um tatsächliche Produktivitätsgewinne vs. Lebenszykluskosten (Debugging, Wartung, Kontextfenster); Front‑End‑Gains, Back‑End‑Risiken.
- Wettbewerb: Können Großkunden eigene Lösungen bauen? Management: möglich, aber Prozess‑/Workflow‑Wissen und Kundenbindung sind Moats.
- COGS‑Risiko: Token‑Kosten aktuell überschaubar; Schutzmechanismen: Model‑Routing, On‑Prem‑Inference und verhandelte Plattformdeals.
⚡ Bottom Line
- Für Aktionäre: Kein kurzfristiger Guidance‑Impact, aber strategisch relevant. Entscheidend werden Pilot‑Konversionen, monetarisierbare Add‑ons, Adoption in Support/Sales und M&A‑Preiswirkungen sein. Proprietäre Prozesse und dezentrale Struktur reduzieren kurzfristig Risiko, Token‑Kosten und Wettbewerbsdruck bleiben Beobachtungspunkte.
Finanzdaten von Constellation Software
Umsatz
Der Umsatz stellt die Summe aller Einnahmen eines Unternehmens z. B. für dessen Produkte oder Dienstleistungen dar.
Umsatz (TTM) einfach erklärtDirekte Kosten
Direkte Kosten sind die Kosten, die direkt im Zusammenhang mit der Herstellung des Produkts oder der Dienstleistung entstehen.
Bruttoertrag
Der Bruttoertrag gibt an, wie viel vom Umsatz nach Abzug der direkten Herstellkosten im Unternehmen verbleibt. Berechnet man den prozentualen Anteil vom Umsatz, spricht man von der Bruttomarge (engl. Gross Margin).
Brutto Marge einfach erklärtVertriebs- und Verwaltungskosten
Die Vertriebs- & Verwaltungskosten (engl. Selling, General & Administrative expenses, kurz SG&A) beinhalten alle Aufwände für Marketing und den Verkauf sowie die allgemeine Verwaltung des Unternehmens.
Forschungs- und Entwicklungskosten
Die Forschungs- und Entwicklungskosten (engl. research & development costs, kurz R&D) geben Auskunft darüber, wie viel das Unternehmen in die Forschung und die Entwicklung seiner Produkte investiert. Vor allem prozentual vom Umsatz und im Vergleich zu direkten Wettbewerbern sind die Kosten interessant.
EBITDA
Das EBITDA (Earnings Before Interest, Taxes, Depreciation and Amortization) ist der Gewinn des Unternehmens vor Zinsen, Steuern und Abschreibungen. Berechnet man den prozentualen Anteil vom Umsatz, spricht man von der EBITDA-Marge.
Abschreibungen
Abschreibungen stellen Wertminderungen von Vermögensgegenständen des Unternehmens dar (z.B. durch Abnutzung von Maschinen).
EBIT (Operatives Ergebnis)
Das EBIT (engl. Earnings Before Interest and Taxes) ist der Gewinn des Unternehmens vor Zinsen und Steuern, das auch als operatives Ergebnis bezeichnet wird. Berechnet man den prozentualen Anteil vom Umsatz, spricht man von
der EBIT-Marge.
Nettogewinn
Der Nettogewinn stellt den Gewinn oder Verlust nach Abzug aller Kosten dar.
Nettogewinn einfach erklärtaktien.guide Premium
| Mär '26 |
+/-
%
|
||
| Umsatz | 17.251 17.251 |
17 %
17 %
100 %
|
|
| - Direkte Kosten | 332 332 |
34 %
34 %
2 %
|
|
| Bruttoertrag | 16.919 16.919 |
17 %
17 %
98 %
|
|
| - Vertriebs- und Verwaltungskosten | 11.444 11.444 |
15 %
15 %
66 %
|
|
| - Forschungs- und Entwicklungskosten | 652 652 |
18 %
18 %
4 %
|
|
| EBITDA | 4.822 4.822 |
22 %
22 %
28 %
|
|
| - Abschreibungen | 2.053 2.053 |
15 %
15 %
12 %
|
|
| EBIT (Operatives Ergebnis) EBIT | 2.769 2.769 |
27 %
27 %
16 %
|
|
| Nettogewinn | 1.055 1.055 |
2 %
2 %
6 %
|
|
Angaben in Millionen CAD.
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Firmenprofil
Constellation Software, Inc. ist eine Holdinggesellschaft, die Softwareunternehmen für vertikale Märkte erwirbt, verwaltet und aufbaut. Das Unternehmen ist in den folgenden Segmenten tätig: Öffentlicher und privater Sektor. Das Segment "Öffentlicher Sektor" konzentriert sich auf staatliche und regierungsnahe Kunden. Das Segment Private Sector umfasst Geschäftseinheiten, die sich auf kommerzielle Kunden konzentrieren. Das Unternehmen wurde am 23. August 1995 von Mark Henri Leonard und James D. Foy gegründet und hat seinen Hauptsitz in Toronto, Kanada.
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| Hauptsitz | Kanada |
| CEO | Mr. McKay |
| Mitarbeiter | 45.000 |
| Gegründet | 1995 |
| Webseite | www.csisoftware.com |


