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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 = 2,75 Mrd. $ | Umsatz (TTM) = 469,15 Mio. $
Marktkapitalisierung = 2,75 Mrd. $ | Umsatz erwartet = 658,73 Mio. $
🎯 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 = 2,04 Mrd. $ | Umsatz (TTM) = 469,15 Mio. $
Enterprise Value = 2,04 Mrd. $ | Umsatz erwartet = 658,73 Mio. $
🎯 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.
🎯 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.
📘 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.
📘 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.
🎯 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.
🎯 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.
🎯 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.
🎯 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.
🎯 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.
🎯 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.
📘 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.
Hesai Group Aktie Analyse
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Analystenmeinungen
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Hesai Group — Q1 2026 Earnings Call
1. Management Discussion
Hello, ladies and gentlemen. Thank you for standing by. Welcome to Hesai Group's First Quarter 2026 Earnings Conference Call. [Operator Instructions]. Please note that today's conference call is being recorded. I will now turn the call over to our first speaker today, Yuanting Shi, the company's Head of Capital Markets. Please go ahead.
Thank you, operator. Hello, everyone. Thank you for joining Hesai Group's first quarter 2026 earnings conference call. Our earnings release is now available on our IR website at investors.hesaitech.com as well as via Newswire services. Today, you will hear from our CEO, Dr. David Li, who will provide an overview of our recent updates. Next, our CFO, Mr. Andrew Fan, will address our financial results before we open the call for questions.
Before we continue, I refer you to the safe harbor statement in our earnings press release, which applies to this call as we will make forward-looking statements. Please also note that the company will discuss non-GAAP measures today, which are more thoroughly explained and reconciled to the most comparable measures reported under GAAP in our earnings release and SEC filings. With that, I'm pleased to turn over the call to our CEO, Dr. David Li. David, please go ahead.
Thank you, Yuanting, and thank you, everyone. Today, we are incredibly honored and excited to announce that Hesai serves as strategic LiDAR partner and confirmed supplier for Mercedes-Benz models, enabling Level 3 autonomy. We see this as a major milestone, not only a strong validation of our technology leadership, but also a clear signal that LiDAR is moving to core infrastructure in the global evolution of intelligent driving. More importantly, I am thrilled to announce that Hesai has officially entered a new era of growth and profitability. 2026 marks a transformative chapter for us as we initiate a strategic paradigm shift evolving from spatial perception to spatial intelligence.
Beyond our LiDAR business, we are actively forging the eyes and muscles of Physical AI. This evolution underscores what has always been at the core of Hesai's DNA. A deep-tech enterprise that leverages hard core technological innovation and sustained R&D intensity to deliver the world's most cutting-edge products, ultimately unlocking profound long-term industry value. At our recent 2026 Tech Open Day, we unveiled several breakthrough innovations that we believe will redefine the industry landscape. I will come back to these in more details later in my remarks.
Before turning to the broader opportunities in Physical AI, let me first walk through our LiDAR business highlights for the quarter. Last year, we delivered a record 1.6 million lidar units. This year, we expect our total shipments to approximately double, reaching between 3 million to 3.5 million units. We are confident that this level of scale firmly reinforces our leadership position in the global LiDAR industry. The trend we highlighted before is only accelerating. LiDAR is fast becoming the invisible airbag deployed across vehicles at scale. This was clearly demonstrated at the recent Beijing Auto Show, where Hesai lidar was featured in 56 vehicle models across 24 leading automotive brands, ranking #1 in lidar presence across exhibited models. At the show, our lidars were deployed across the automotive ecosystem, from leading brands such as Audi, Cadillac, Lotus, Li Auto, Xiaomi, BYD, Leapmotor, Geely, Great Wall Motor, Changan, Cherry, to autonomous driving leaders like Pony.ai and WeRide. This broad adoption reflects our deep ecosystem penetration and the growing strength of the Hesai Inside effect.
According to Yole Group, we ranked #1 globally in long-range ADAS LIDAR shipments with a 43% market share in 2025. Our leadership only strengthened in March 2026 when our China market share surged to 55% according to Gasgoo, roughly triple that of the second-ranked player, marking our 14th consecutive month in the #1 position. This momentum was fueled by our industry-leading product portfolio with our flagship ATX continuing to scale across major platforms. In April 2026 we began SOP for the rebound version of ATX. OEM demand remained exceptionally strong, with backlog now exceeding 6 million units.
As Level 2 scales, Level 3 is emerging as the next major growth driver for the LiDAR industry. As responsibility shifts from the driver to the automaker, vehicle safety requirements are rising rapidly, driving architectures from typically one LiDAR per vehicle last year, representing roughly USD 200 of LiDAR content per car to 3 to 6 LiDARs in Level 3 platforms, increasing content to about USD 350 in entry-level multi LiDAR setups and USD 500 to USD 1,000 in more advanced configurations. We are well positioned for this transition with multi lidar design in wins secured across legal OEMs, such as Li Auto, Xiaomi and Changan. Notably, Li Auto officially commenced deliveries of its Multi lidar model on May 15, 2026, marking the first mass production deployment of our FTX blind spot lidar. Level 3 is not just about more sensors, [indiscernible] elevates the role of LiDAR from a passive backup to an active decision enabler in safety-critical driving scenarios.
To lead this shift, we introduced Picasso, the world's first 6D full-color-ultrasensitive at SPAD-SoC. It uses RGB color and precise 3D geometry at a true chip level, generating real-time colorized point cloud. In plain terms, it enable systems to see and understand the world more like humans do and directly addresses the long-standing LiDAR versus camera debate. For the first time, we are delivering a unified perception stack in a single chip, bringing both worlds together and taking a [indiscernible] in how machines perceive and understand the physical world. For example, through native pixel-level fusion of color at depths, Picasso equipped LiDARs help address challenging real-world edge cases across intelligent systems, not only in autonomous driving but also in robotics and industrial applications such as distinguishing overlapping traffic lights at adjacent intersections or differentiating a yellow signal from sunlight scenarios where vision-based systems can struggle.
Powered by the Picasso platform, our flagship ETX lidar now supports up to 4,320 channels and delivers a maximum 600-meter range, enabling ultra-high-resolution full color 3D imaging. With enhanced small object detection, ETX pushes safety margins to unprecedented heights. Commercial momentum is already building for this industry-first technology. we Secured an exclusive design win with Cargo Bot for its Phase 2 Transport Robots, deploying our 4,320 channel ETX together with FTX-blind-spot lidars. This marks the first commercial vehicle contract for our 6D full-color lidar. ETX is expected to enter mass production in the second half of 2026 across multiple flagship programs with additional engagements actively progressing among both ADAS and robotics clients. Looking ahead, with lidar expanding far beyond today's boundaries with many camera dominated applications naturally shifting toward lidar over time, positioning us for the next wave of Physical AI.
On the global side, we are incredibly honored and excited to announce that Hesai serves as strategic lidar partner and confirmed supplier for Mercedes-Benz models, enabling Level 3 autonomy. The new supply agreement supports Mercedes-Benz programs in Europe and China with lidar production supported by Hesai's new Galileo manufacturing center in Thailand. In parallel, we continue to deepen our footprint with Chinese joint ventures as well as fast-growing Chinese automakers expanding overseas. We have been selected for GAC Toyota's 2026 bZ3X model, marking our first entry into the Japanese automotive ecosystem.
We have also secured new overseas design wins with Xiaomi, one of our largest customers with SOP expected to begin in 2027.
Looking ahead, we see strong and sustained momentum driven by both global OEM partnerships and the continued international expansion of Chinese automakers. Together, these two forces are becoming the key structural growth drivers for Hesai in the years ahead. Beyond ADAS, Robotics is emerging as an addressable market, roughly 10x larger. We are already a leader across key segments, including humanoid and quadruped robots, robotaxis, robovans and robotic lawn mowers, ranking #1 according to GGII, Yole Group and Frost & Sullivan.
To share a few recent highlights in humanoid robotics, our JT128 lidar powered Honor's Lighting robot to deliver a championship winning performance and break the human world record at the world's first humanoid robot half marathon. In Robovans, we secured an exclusive design win with Zelos for 200,000 lidar units and deepened our partnership with Neolix as its largest lidar supplier. We are also expanding into smart mobility with an FTX design win from new technologies for next-generation electric 2-wheelers, a market with more than 60 million units sold annually in China. Having established our [indiscernible] a global leader in 3D perception solutions, one thing is clear, bringing AI into the physical world takes more than just LiDAR. That's why we are taking our most exciting step yet, expanding from spatial perception to spatial intelligence.
To build an un-compromised digital foundation for the physical AI era, we introduced Kosmo, an AI algorithm-integrated spatial intelligence device. As physical AI accelerates, we believe richer, higher fidelity spatial data is becoming an increasingly scarce strategic resource, arguably even more critical than computing power itself. Kosmo is purpose-built to break this bottleneck. Unlike traditional 3D reconstruction solutions that rely on bulky hardware and costly workflows, Kosmo-combined Hesai's ultrahigh precision lidar with proprietary 3DGS and AIGC algorithms to rapidly generate photorealistic production-grade 3D environments at scale. For 200 square meter [indiscernible], Kosmo requires only 1/5 the time of existing 3DGS solutions and roughly 1/50 the time of traditional methods with dramatically lower labor costs. More importantly, Kosmo is far beyond a hardware AI integrated product, it is the starting point of a scalable new business model. Combining hardware, AI software, spatial data and future platform services, creating recurring revenue streams, strong ecosystem effects and a durable long-term moat. We believe Kosmo unlocks trillion-RMB downstream opportunities across robotics, simulation and training, immersive media, 4D entertainment and beyond. Commercial traction is already building rapidly.
We are actively engaging with a powerhouse roster of industry leaders spanning global pioneering embody AI companies and top-tier entertainment studios to market-leading tech giants, AI-driven industrial titans and global luxury brands with some customers already having placed orders. We are incredibly excited about the long-term growth potential ahead.
Beyond perception, bringing AI into the physical world also means enabling it to act, giving it the muscles to truly come to life. This leads to our next strategic pillar. Robotic Actuation Modules. This is a natural extension of our systemic expertise in materials, simulation, physical design and the manufacturing of delicate components. We also bring proven know-how gained from millions of in-house developed automotive-grade, motors and encoders deployed in our lidar products. Consider this a first glimpse an easter egg, more exciting updates will follow in the near future.
To wrap up, let me bring us back to the core theme today. Our evolution from spatial perception to spatial intelligence. We are executing this across three clear dimensions: First, perceiving the world powered by our chip-based lidar solutions, giving robots the eyes to see the physical world in high fidelity. Second, understanding the world with Kosmo and its ecosystem, transforming rich special data into actionable intelligence for real reasoning and decision-making. Third, changing the world through our Robotic Actuation Modules, the muscles that allow machines to truly interact with the physical world and serve humanity. Together, these are unlocking powerful new growth engines and presenting us as a core enabler of physical AI, digitizing the real world and redefining how humans and robots perceive and act.
With that, I will now turn the call over to Andrew to discuss our financial performance and outlook. Andrew, please go ahead.
Thank you, David. Hello, everyone. Before diving into our first quarter financial and operating performance, I would like to provide an important update on our financial reporting structure. As David highlighted, 2026 marks a year of strategic evolution for Hesai as we expand our [indiscernible] to become the key enabler of Physical AI. To better reflect this shift and further enhance our disclosure transparency. Starting this quarter, we are updating our segmentation into 2 distinct categories: our Core Lidar business and our strategic growth initiatives or SGI, which includes our new AI algorithm-integrated spatial intelligence device, Kosmo. We believe this updated reporting framework will help investors better appreciate the distinct financial profiles, independent growth trajectories and underlying value drivers of these 2 segments. By separately reporting our robust rapidly scaling Core Lidar business from our highly transformative SGI segment, we aim to provide you with clearer visibility to better model our business and track how each engine contributes to our long-term shareholder value.
With that, let me walk you through our first quarter operating and financial performance, followed by our outlook for the second quarter and the rest of 2026. To be mindful of the length of our call, I encourage listeners to refer to our earnings release for further details. We kicked off 2026 with strong momentum and delivered another strong quarter of robust growth, improving scale and disciplined profitability. Starting with the top line. Total net revenues reached RMB 681 million or USD 99 million, representing an increase of 30% year-over-year. This marked our eighth consecutive quarter of year-over-year revenue growth, reflecting both sustained demand across our core markets and our ability to scale with consistency and operational rigor. This performance was supported by total lidar shipments of over 471,000 units for the first quarter with both broad-based ADAS and Robotic shipments more than doubling year-over-year.
Our gross margin for the quarter stayed healthy at over 39%. On operating expenses, we maintained a disciplined approach while continuing to invest strategically in long-term growth. During the quarter, total operating expenses increased by 9% year-over-year, primarily reflecting targeted R&D investments in the new initiatives that David outlined earlier, partially offset by savings from scale adoption of AI tools across the company. Excluding these investments, our Lidar operating expenses declined year-over-year, driven by ongoing efficiency gains and cost discipline. This brings us to the underlying profitability of our 2 segments.
For the first quarter, our Lidar business delivered a robust operating profit of RMB 42 million, demonstrating its strong self-sustaining profitability. Meanwhile, our SGI business recorded an operating loss of RMB 51 million, representing our deliberate and forward-looking investment in building the infrastructure of Physical AI. As a result, we delivered GAAP net income of RMB 18 million or USD 2.7 million and non-GAAP net income of RMB 48 million or USD 6.9 million for the quarter. This extends our track record to 4 consecutive quarters of GAAP profitability and 6 consecutive quarters on a non-GAAP basis. The sustained profitability reflects the strength of our operating model and the benefits of scale as our business continues to expand, firmly positioning us at the forefront of the industry.
Looking ahead, we expect to build on this strong momentum. For the second quarter of 2026, we expect net revenues to be in the range of RMB 850 million to RMB 900 million or USD 123 million to USD 130 million, representing year-over-year growth of approximately 20% to 27%. We also expect revenue momentum to strengthen progressively each quarter throughout the year. From a broader perspective, we believe our business is entering a more sustainable growth trajectory. Our Core Lidar business will continue to drive growth, scale and cash generation while SGI is beginning to contribute and significantly expand our long-term growth potential, supported by our strong customer base and the momentum from early adoption, we expect SGI to generate approximately RMB 100 million in revenues this year, with revenue contributions expected to start in the second quarter of 2026.
Looking further ahead, we aim to scale this to around RMB 500 million by 2027, and over time, establish it as a meaningful and long-term growth driver for Hesai. Together, these developments are accelerating our evolution into a key enabler of physical AI, unlocking the next phase of growth with greater scale and global impact. This concludes our prepared remarks today. Operator, we are now ready to take questions.
[Operator Instructions] Your first question comes from Tina Hou with Goldman Sachs.
2. Question Answer
Congrats on a strong set of results, and also very excited about our new opportunities here. So my question is more related to our announcement with Mercedes-Benz and supply into their L3 models going forward. So just wondering how should we think about the opportunity in terms of volume, revenue and margin contribution over the next, let's say, 1 to 3 years and then longer term from this collaboration?
I'll take this question. This is David. We are pleased to announce that Hesai serves as strategic lidar partner and confirmed supplier for Mercedes-Benz models, enabling L3 economy. The new supply agreement supports Mercedes-Benz programs in Europe and China with lidar production supported by Hesai new Galileo manufacturing center in Thailand. We will not be able to disclose further details on the strategies of the customer, but we do confirm the new contracts are a continuation of the existing collaboration with additional volumes and car models.
Our global expansion is fully supported by our new Thailand manufacturing center, unified product architecture and strategic NVIDIA partnership uniquely positioning Hesai to lead the global ADAS market. Meanwhile, we are expanding our overseas reach with Chinese joint ventures and fast-growing domestic OEMs going global, winning a design win on GAC Toyota's 2026 bZ3x model marks our breakthrough into the Japanese auto ecosystem. We've also locked in new overseas design wins with Xiaomi, a top customer targeting a 2027 SOP. Looking ahead, our growth will be structurally driven by two powerful engines, international OEM partnerships and the global expansion of Chinese automakers. That's my response to your question. Thank you.
Your next question comes from Tim Hsiao with Morgan Stanley.
This is Tim from Morgan Stanley. Switching gears to the spatial intelligence device, because we noticed the Kosmo has already received early orders. And it's also highlighted in the announcement that is a scalable business model. So wondering if you could elaborate a bit more about how we should think about the fundamental difference. Our synergy between the Kosmo [indiscernible] conventional by the business. Are there any comparable products currently available in the market? And how does Kosmo stand out against such alternatives, if any.
Additionally, it would be great if the management team can share more details regarding the existing client base. I think David also share a lot of information. And in the meantime, the time line for consumer-facing rollout as well as your expectation for financial contribution from Kosmo. Yes, that's a few follow-ups.
Thank you for raising the question. Well, Kosmo is much more than a sensor or a hardware device. I will describe it as the world's first AI algorithm integrated spatial intelligence device, combined or custom-lidar, multiple sensors and our in-house 3 DGS and AIGC algorithms together into one system, like allowing us to capture and reconstruct the physical world in a very seamless and photorealistic way. And we believe in the era of Physical AI, high-quality special data is becoming a scarce strategic resource.
Arguably, I mean, even more important than compute itself, and Kosmo is designed to provide what we call the un-compromised digital foundation for this new era, right? So one key difference between traditional LiDAR and Kosmo is really the output. Traditional LiDAR gives you raw point cloud, which are almost like the water-frame or skeleton of the world. Kosmo goes much further, using AI algorithms, it reconstructs a fully photorealistic 3D model with color, texture and shadows, much closer to how humans actually experience the real world, right? And we think we have two very important advantages here.
First is hardware. Since we used our own custom high-performance lidar, the raw input quality is already extremely strong compared to most third-party solutions. Second is software. Our proprietary reconstruction and AIGC algorithms are a major differentiator, based on early customer feedback, you know our models consistently deliver higher quality results compared with other software solutions. As a result, efficiency improvement is actually very significant. For example, for a 200 square meter space Kosmo can complete reconstruction in roughly 1/5 of the time of existing 3DGS solutions and around 1/50 of traditional workflow, while also reducing labor costs substantially, which is huge, right?
Now the [indiscernible] opportunity here is still very early and evolving. So it's difficult to define a precise TAM today. But directionally, we think this could become a very large multi-industry opportunity spanning robotic simulation and training, immersive media, 4D entertainment, industrial applications and on. what's even more important, in my view, is the business model we are building around Kosmo.
The AI integrated Kosmo is really just the front door. It gets us into the ecosystem, but recurring revenue is what we believe becomes the long-term engine over time. Today, we are already engaging with a very exciting group of customers, ready from pioneering in-body AI companies and top-tier entertainment studios to, well, global technology leaders, industrial companies, and luxury brands. We also already have early orders in place. Beyond the device itself, covers also pay for software and platform usage, whether it's data processing, model training or cloud-based services through licensing and subscription models. So compared with traditional LiDAR, I mean, this business naturally carries a more software-driven and potentially higher margin profile.
Longer term, like in the coming years, we see two major paths ahead for Kosmo. First is for 4DV, essentially 3D plus time, where we believe a single lightweight Kosmo device can eventually replace today's bulky, expensive, camera-based 4D capture systems. Second is a broader consumer feeding opportunity. Over time, we believe even ordinary consumers will be able to use Kosmo to create 4D immersive full content themselves, much like how smart-phones democratized photography and video creation over the last decade, right? So overall, see Kosmo as a starting point, a scalable new business model and a very important expansion opportunity for Hesai beyond traditional LiDAR. We will soon begin demo shipments, and we believe it can become a meaningful growth driver for us in the Physical AI era with initial 8-digit revenues expected this year. That's my answer for your question. Thank you.
Your next question comes from Nora Min with UBS.
This is Nora Min from UBS. So my question is about your progress of the Humanoid Robot Actuator business? And what do you think is the current technical bottleneck and who are your potential customers, also are the actuators for the body or hand?
Thanks for the question. Well, people often think lidar is simply a sensor, but in reality, it's much more like a precision machine. Inside a lidar system, I mean you have optics, electronics, software and sophisticated mechanical engineering, all working together in tight synchronization, right? So for both our mechanical and [indiscernible] lidars the moving components are extremely demanding from an engineering standpoint. They must meet automotive-grade standards and survive years of continuous vibration, heat, cold and harsh real-world driving conditions, while still maintaining extremely high precision every single second, right? I mean it's a bit like asking a professional athlete to run a marathon every day for years without ever losing former accuracy.
Over the past decade, you see we have already developed and shipped more than 1 million automotive-grade motors and encoders into our lidar systems. And fundamentally, like the physics behind lidar scanning modules and robotic actuation modules are very similar. Both require extremely precise control of velocity position and force. So in many ways, moving from lidar into robotic actuation was a very natural extension for us, really. The same capabilities we built for lidar such as material science, simulation, proprietary ASICs, precision manufacturing and system-level engineering can now be extended from helping robots see the world, to helping them move within it.
Now on Robotic Actuation, we haven't yet disclosed detailed information, but early signals are very encouraging, and key performance metrics are already reaching what we believe is, well, among the industry's highest level. We look forward to sharing more details in the coming quarters as this business develops, of course. That's my answer. Thank you.
Your next question comes from Jessie Lo with Bank of America Securities.
My question is around the strategic growth initiatives as well. Could you talk about the ASP revenue and also margin on both the Kosmo and also Robotic Actuator models?
Thank for the question. This is Andrew. Both the Robotic Actuated Modules and Kosmo are part of our new strategic growth initiatives or SGI segment. [indiscernible] this as an early-stage innovation layer sitting alongside our Core Lidar business. At this stage, because these products are still in early commercialization, we are reporting them on a consolidated basis within SGI rather than splitting them out individually. On the revenue side, we expect SGI to start contributing in the second quarter this year. With strong early customer interest and initial adoption we currently anticipate around RMB 100 million in full year 2026 revenues.
Looking further out, we see a clear scaling path, potentially reaching around RMB 500 million in 2027. And over a longer horizon within 5 years, we believe this business could grow to a scale that is comparable to our Core Lidar business.
On profitability, SGI is expected to be accretive to group gross margin over time as this segment scales and matures. Kosmo, in particular, should carry a structurally higher margin profile because it is not just the hardware product. It integrates hardware, software and data workflows. Over time, we also expect part of Kosmo to evolve toward a recurring ARR model through software and platform services. which naturally improves profitability as the installed base expense. On ASP, it's important to note that we are still in a very early deployment phase, so current pricing is highly customized and driven by pilot programs. At this stage, these early data points are not representative of long-term economics. As we move into mass production and the product lines mature, we will provide more normalized unit economics to the market. That's my answer to your question. Thank you.
Your next question comes from [indiscernible] with CICC.
Hello, everyone. This is [indiscernible] CICC Auto Team. And congratulations on the strong results and exciting partnership with Mercedes. The question is regarding your Picasso [indiscernible], we think the market came to understand how your product interacts with cameras. And to what extent can 6D lidar replace certain camera functions? And additionally, some of your peers are also promoting camera-lidar fusion solutions. How does your approach defers from peers? And what has the customer feedback so far?
Thank you for the question. First, let me set the stage here. People often debate cameras versus LiDAR. But I think that's a little bit like asking whether humans should choose between seeing colors or seeing depth. In the real world, we naturally use both together. That's exactly what our 6D full-color lidar does. It helps machines not only detect objects, but truly understand the physical world more like humans do. And this is why we believe in many future applications, your next camera may not even be a camera anymore. It could be a 6D full-color lidar, the opportunity is massive across autonomous driving, robotics, industrial automation, infrastructure and even electronics like Kosmo. What makes us different is that many existing solutions are still basically a camera and lidar packaged into one box with software trying to combine the information afterwards. [indiscernible] system level fusion.
With Picasso, our world's first 6D full-color SPAD-SoC with RGB color and precise 3D geometry directly at the chip-level from the very beginning, almost like the human brain naturally combining both eyes in real time. You can think of it as early fusion. The benefit is very clear. The system instantly understands both depth and color together in fully aligned realtime, improving perception capability, reducing edge case errors and enhancing safety. We understood some peers are moving in a similar direction now, which we see as validation of the trend, but we believe we are roughly about a year ahead in R&D. Customer feedback so far has been extremely encouraging across both ADAS and Robotics.
For example, with overlapping traffic light at adjacent intersections, traditional cameras struggle with depth, while traditional LiDARs cannot understand colors. Our 6D full-color lidar solves both simultaneously. We believe this creates a strong differentiator for us and supports premium pricing given the very clear value add. Importantly, customers also do not need to completely rebuild their perception stack. The data from 6D full-color lidar and traditional LiDAR are compatible. And commercially, the momentum is already starting. We recently secured an exclusive design win with Cargo Bot for its transport robot, which marks the industry's first mass production deployment of 6D full-color lidar on commercial vehicles.
We are also actively engaging with both Robotaxi and ADAS customers. Looking ahead, we expect the Picasso equipped ETX to enter SOP in the second half of 2026 with broader global adoption ramping through 2027 and 2028. We really believe this could become one of the key technology transitions for the entire perception industry over the next several years. That's my response to your question.
Your next question comes from Jeff Chung with Citi.
David, what's the updated to the [indiscernible] revenue forecast right now? And how much SGI contribution to the [indiscernible] revenue first question. And secondly, if we take out the RMB 100 million revenue from SGI in the second quarter, the core revenue, excluding SGI Q-on-Q growth will become 18%. Would that be a little bit conservative? And finally, any volume guidance for the second quarter?
Thank you. It's Andrew here. For the second quarter, we expect total revenues to be in the range of RMB 850 million to RMB 900 million with around 650,000 lidar shipments. Importantly, the second quarter will also mark the initial revenue contribution from SGI. Gross margin has remained resilient even as our ADAS business continues to scale rapidly. We've now delivered GAAP net income for 4 consecutive quarters and non-GAAP net income for 6 consecutive quarters, and we expect this momentum. And if you look at the pattern of our business and OEM production cycles, we also expect financial performance to continue improving sequentially through the year, with SGI expected to contribute around RMB 100 million in 2026 during this early ramp stage.
For the full year 2026, we are reaffirming our lidar shipment guidance of a record 3 million to 3.5 million units. We remain highly confident in our top line and delivery trajectory supported by several strong and accelerating drivers, including higher lidar penetration across the market increasing lidar content per vehicle as the industry moves toward Level 3. The early ramp of global ADAS programs, including the overseas expansion of Chinese OEMs as well as broader robotics adoption across increasingly diverse applications. Overall, we believe Hesai is executing strongly across all fronts. Our Lidar business continues to serve as a very solid foundation with clear market leadership and global scale.
At the same time, we are extremely excited about the future of SGI, and we look forward to sharing more updates on these new businesses very soon. That's my answer to your question. Thank you.
Your next question comes from Zang Yu with Huatai Securities.
This is Zang Yu from Huatai Securities. I have a question about ASP. How do we unpack the ongoing decline in lidar ASP, and what's your long-term outlook for pricing as a market [indiscernible].
Thank you for the question. We think it's important to look beyond headline blended ASP because what we are really seeing today is a reflection of strong market expansion and a clear product mix shift. As we scale into the mass market, ADAS lidar naturally takes a larger share of volume. These products usually carry lower unit prices than robotics lidars, so blended ASP comes down. But fundamentally this is a healthy signal. It reflects lidar becoming a mainstream standard across both automotive and robotics.
Looking ahead, we see a clear structural catalyst as the industry moves towards Level 3 autonomy. Level 3 raises the bar on safety, redundancy and sensing performance, which directly drives higher sensor content per vehicle. At Level 2, lidar content per vehicle last year was roughly around USD 200, typically anchored by 1 long-range ATX. At Level 3, it already steps up to about USD 350 as a starting point. For example, 1 ATX, plus 2 FTX for blind spot coverage, as systems evolve further with ETX high-end lidar and additional blind spot FTX content can increase to roughly USD 500 to USD 1,000 per vehicle. This is already emerging in early customer adoption and is increasingly reflected in ongoing engagements and once more with our newly launched Picasso 6D full-color SPAD-SoC, lidar is also evolving from a passive safety sensor into an active intelligence layer, enabling richer perception through real-time colorized point clouds that shift from safety only to active functionality creates a clear upgrade cycle and we do see these value add potentially supporting higher pricing for advanced lidar configurations.
Ultimately, we see the market evolving very much like smart-phones. Once users experience a better smart-phone, they don't go bad because they truly appreciate the value it creates in daily life. In the same way, as automotive and robotics applications become more intelligent over time, end users will increasingly recognize and cherish the value enabled by our technology, not as a cost but as a capability upgrade in how they move, work and interact with the physical world. That's my answer to the question you just raised.
Your next question comes from Jia Lou with BOCI.
Hello, [indiscernible] I have a question regarding the competition dynamics. Over the past few years, the lidar industry has been focused on cost reduction. However, since the beginning of this year, we've observed a shift towards performance raise such as escalation in channel counts, while the technology road map have begun to convert. So how does management envision the evolution of the competitive landscape lidar industry. What will be the key differentiator for Hesai to maintain its leadership?
Thank you. That's a very good question. When people talk about lidar competition, the discussion often goes straight to price. Yes, the price of a single lidar has come down over the years, but that's really the result of strong in-house ASIC capability and system integration, which helped bring lidar from a luxury technology into massive option without sacrificing performance. That is exactly why today lidar can be deployed not only in USD 10,000 vehicles, but even in affordable home appliances. We are seeing penetration rapidly expand across sectors, including categories many people did not initially expect, such as robotic lawnmowers and two-wheelers. Once the cost performance curve crosses a certain inflection point, adoption doesn't grow linearly. It's hard to expand across [indiscernible], and ultimately, the results speak for themselves.
According to Yole Group, we ranked #1 globally in long-range ADAS lidar shipments in 2025 with 43% market share. In March this year, [indiscernible] showed our share further increased to 55%, roughly 3x that of the second player. Beyond automotive. We are also seeing strong momentum in robotics, where we believe we are already the #1 global player in Robotics Lidar revenues across Robotaxis, Robovans, lawnmowers, humanoids and other emerging applications. But the more important question is not price. It is who can lead across multiple technology cycles. Today, the industry is moving towards higher performance, higher resolution, new architectures and new types of demand. We are already at 4,320 channel-level products.
At the same time, we are expanding into blind spot lidar with full 360-degree coverage for large-scale deployments like the Li Auto [indiscernible] platform, and we are moving towards deeper fusion of lidar and imaging with Picasso, our 6D full-color SPAD-SoC as well as into Physical AI with Kosmo for high fidelity spatial intelligence. Across all these shifts, our key advantage is the engineering capability and talent we have built over the past decade. We have built multiple distinct product architectures from gas detection to mechanical lidar, semisolid state and the fully solid-state systems, while they all fall under lidar, they are fundamentally different in architectures.
Today, we are extending that same capability into physical AI, including Kosmo and Robotic Actuation Modules. At the end of the day, whether competition is in technology, product or market share, we welcome it. We remain confident in our long-term structural advantages and our ability to continue launching category-defining products with a strong pipeline of major launches in 2026. Our leadership in physical AI is, in our view, an important differentiator versus peers. Ultimately, this is a deep tech business. That's my answer to your question. Thanks for that.
There are no further questions at this time. I'll now hand back to Yuanting Shi for closing remarks.
Thank you once again for joining us today. If you have any further questions, please feel free to contact our IR team. This concludes today's call, and we look forward to speaking to you again next quarter. Thank you, and goodbye.
That does conclude our conference for today. Thank you for participating. You may now disconnect.
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Hesai Group — Q4 2025 Earnings Call
1. Management Discussion
Hello, ladies and gentlemen. Thank you for standing by. Welcome to Hesai Group's Fourth Quarter and Full Year 2025 Earnings Conference Call. [Operator Instructions] Please note that today's conference call is being recorded. I will now turn the call over to our first speaker today, Yuanting Shi, the company's Head of Capital Markets. Please go ahead.
Thank you, operator. Hello, everyone. Thank you for joining Hesai Group's Fourth Quarter and Full Year 2025 Earnings Conference Call. Our earnings release is now available on our IR website at investor.hesaitech.com as well as via Newswire services. Today, you will hear from our CEO, Dr. David Li, who will provide an overview of our recent updates. Next, our CFO, Mr. Andrew Fan, will address our financial results before we open the call for questions.
Before we continue, I refer you to the safe harbor statement in our earnings press release, which applies to this call as we will make forward-looking statements. Please also note that the company will discuss non-GAAP measures today, which are more thoroughly explained and reconciled to the most comparable measures reported under GAAP in our earnings release and SEC filings.
With that, I'm pleased to turn over the call to our CEO, Dr. David Li. David, please go ahead.
Thank you, Yuanting, and thank you, everyone, for joining our call today. I'd like to start by taking a step back and looking at what we accomplished over the course of the year. 2025 was a defining year for Hesai.
We achieved a milestone no other lidar company has reached, industry first full year GAAP net income of RMB 436 million. This was not just a year of growth, it was the year our technology leadership, operational scale and execution converged to set new standards for the industry.
On the product front, we continue to lead the way. According to Gasgoo, ATX, our flagship ADAS lidar, largely contributed to our #1 position in 2025 with over 40% share of the long-range automotive lidar market. Meanwhile, our JT series entered mass production and shipped over 200,000 units in its first year alone, establishing clear leadership in Robotics as well.
At the same time, we reinforced our financial position through a successful USD 614 million dual primary listing in Hong Kong, further strengthening our robust balance sheet and enhancing our capacity to support long-term growth.
As we enter 2026, we are carrying significant momentum across markets. With demand accelerating across various key applications, we are raising our 2026 lidar shipment outlook to between 3 million and 3.5 million units. This reflects the massive scalability and resilience of our business.
Now let's take a closer look at our business highlights, starting with our progress in the ADAS market. Currently, lidar is rapidly becoming what we call the invisible airbag, essential, affordable and increasingly standard.
Over the past year, we have been a key force behind the broader rollout of lidar across the industry. We achieved 100% lidar adoption on best-selling models from partners, including Li Auto and Xiaomi, while also breaking into the sub RMB 100,000 price segment with Leapmotor. This marks a fundamental shift. Lidar is no longer a premium add-on, but a core safety feature in mainstream vehicles.
Our momentum is also reflected in the strength and breadth of our partnerships. we have secured 2,026 design wins with key partners, including Li Auto, Xiaomi, BYD, Leapmotor, Great Wall Motors and Changan, many on an exclusive basis. Additionally, leading automakers such as BAIC and FAW Bestune are joining our SOP roster.
Altogether, we have now secured ADAS orders from every one of the top 10 OEMs in China and have secured ADAS design wins with 40 automotive brands across more than 160 vehicle models, reinforcing our position as the partner of choice for world-class automakers.
This leadership allowed us to go beyond a key milestone we first envisioned almost a decade ago, enabling 1% of all vehicles worldwide with 3D perception. With over 2 million cumulative ADAS lidars delivered, we are capturing over 40% of ADAS long-range lidar demand. This gives us significant manufacturing leverage and drives a powerful flywheel of innovation.
To support accelerating growth at scale, we launched our revamped version of ATX lidar last November at our Tech Day event. Powered by our in-house FMC500 500 SoC, integrating MCU, FPGA and ADC; the revamped ATX features up to 256 channels, delivering enhanced performance, reliability and cost efficiency. With an order backlog exceeding 6 million units, it positions us strongly for the next phase of mass adoption and is expected to begin SOP in April 2026.
While Level 2 drives volume, Level 3 is the value multiplier. In China, the regulatory environment has reached a pivotal inflection point. With Level 3 models now approved for public road deployment in cities such as Beijing and Chongqing, the industry is moving decisively from testing into real-world deployment. As responsibility shift from the driver to the OEM, zero failure has become a mandatory requirement.
To manage complex driving scenarios, Level 3 systems need broader coverage with more lidars. This is where our FTX blind spot sensors come in, enabling full 360-degree perception. At the same time, Level 3 also demands better lidars, raising the bar on performance and reliability.
Our ETX ultra high-performance long-range lidar is purpose-built for these demands. It offers around twice the detection range of ATX and will incorporate our proprietary SPAD, which eliminates the false triggers commonly seen in traditional SPAD architectures. ETX is expected to begin SOP by 2026.
With recent multi-lidar design wins from Li Auto, Xiaomi and Changan, with SOP planned for 2026 to 2027, along with several late-stage Level 3 discussions underway with additional leading Chinese OEMs; we are seeing a meaningful increase in lidar content per vehicle as multi-lidar models typically feature 3 to 6 lidars per vehicle.
This mirrors the evolution we saw in smartphone cameras, where increasing sensor count drove a steady expansion in total system value. We believe ADAS lidars is now entering a similar value creation cycle.
Internationally, our business has also reached a critical inflection point. We are pleased to announce a strategic partnership with Grab, Southeast Asia's leading super app. With Grab as our exclusive regional distributor in Southeast Asia, we are combining Hesai's global lidar leadership with Grab's unparalleled local network to aggressively scale our footprint across the region.
More significantly, we have been selected as the primary lidar partner for NVIDIA's DRIVE Hyperion 10 platform, which we view as a true game changer in how we scale globally. Historically, international expansion in automotive was a slow OEM by OEM process, often taking years of validation and negotiations.
Integration into the Hyperion ecosystem enables a fundamental shift in our go-to-market approach from individual engagements to a scalable turnkey model. This positions Hesai as the default gold standard lidar choice for OEMs building autonomous driving systems on the NVIDIA platform.
Additionally, we have joined NVIDIA Halo AI Systems Inspection Lab to further advance safety in autonomous vehicles and robotics. Building on our momentum, our exclusive multiyear design win with a top European OEM is progressing well, with sample deliveries firmly on track.
More importantly, we've achieved a key breakthrough, unifying our high-performance lidar architecture across China and global markets with the ET series as a prime example, enabling a single platform to scale seamlessly worldwide. This unified architecture eliminates redundant development while combining China's operational agility and cost advantages with the most stringent global quality standards.
In fact, Hesai is the only Asian lidar manufacturer with German VDA 6.3 process audit certification, a globally recognized benchmark for the industry's most rigorous production and quality standards. The result is a structurally advantaged one platform model, delivering superior cost, speed and global scalability that is extremely difficult to replicate, putting us firmly in the driver's seat of global expansion.
Looking ahead, 2026 is going to be a pivotal year for the evolution of intelligence. As NVIDIA's CEO, Jensen Huang, described at this year's CES, we are entering the ChatGPT moment for physical AI, a shift from digital chatbots to kinetic work bots operating in our factories, streets and homes.
If 2025 was the year AI learned to reason, 2026 is the year AI gains a body. However, for AI systems to truly reason about the physical world, it requires a grounding in geometric truth. While cameras provide the context or the what, lidar provides the sub-centimeter spatial accuracy, the where. This makes lidar an indispensable bridge between the carbon-based world and silicon-based intelligence.
Without the spatial intelligence, physical AI remains blind to the loss of physics. This structural shift plays directly to our strengths and the results are already very encouraging. According to GGII, Yole Group and Frost & Sullivan, we now rank #1 across multiple major robotics lidar submarkets, spanning humanoid and quadruped robots, robotaxis, robovans and robotic lawn mowers.
For example, our JT128 lidar showcased this leadership at the 2026 Spring Festival Gala. During China's largest broadcast, which peaked at 400 million viewers, dozens of unitary humanoid robots delivered a complex synchronized [ kung fu ] performance.
By providing 360-degree blind spot-free precision perception and ultra-high reliability, JT128 lidar outperformed competing offerings, seamlessly integrating with [ Unitree ] AI algorithms to achieve ultra-low latency and eliminate cumulative motion errors, ensuring absolute stability.
Beyond human robotics, we have also established a strong market position in robotic lawn mowers. We have secured orders from clients, including Dreame and MOVA, representing a backlog of over 10 million lidar units with strong follow-on potential as deployments scale.
In Robotaxis, we now work with nearly every leading player, including Pony.ai, WeRide, Baidu Apollo Go, DiDi and others across North America, Asia and Europe. In Robovans, we have almost achieved full coverage of key players like Zelos, Neolix and Meituan.
Beyond these segments, we are actively expanding lidar applications. Recently, we secured a design win for NIU Technologies next-gen electric 2-wheel model featuring our FTX lidar. With over 10 million electric 2-wheelers sold annually in China, this brings automotive-grade 3D perception to a massive market and unlocks a new intelligent category.
Together, these fast-growing segments put us right at the heart of the robotics ecosystem, helping bring physical AI from concept to real-world action. After shipping nearly 240,000 robotics lidar units in 2025, we expect that volume to at least double in 2026.
Lastly, I'd like to share what's next for Hesai over the coming decade and why we are genuinely excited about the opportunities ahead.
The physical AI revolution is accelerating at an unprecedented pace, but many of its critical building blocks are still in their early stages, such as sensing, motion control, integrated AI-driven decision-making and full system orchestration. These gaps represent enormous white space opportunities, and they are exactly where we believe the next wave of transformative growth will unfold over the coming decade.
Hesai is uniquely positioned to lead this next phase. We bring decades of expertise in lidar, automotive and robotics-grade hardware. Today, we are doing far more than building components. We are evolving into the key enabler of physical AI, digitizing the real world and redefining how humans and robotics perceive and act. This positions us at the forefront of the AI-driven fourth industrial revolution and perhaps more importantly, opens the door to a decade of exponential opportunity.
Let's now move on to something more immediate. In the next few months, we will launch two groundbreaking products, each targeting an addressable market worth trillions of RMB. One is the eyes of physical AI, enhancing perception and situational awareness beyond what is currently possible. The other is the muscles, delivering precise powerful motion control for robots and autonomous systems operating effectively in the real world.
Together, these products are expected to become Hesai's second growth engine. We anticipate initial revenue contributions beginning as early as 2026. Within 5 years, this business has the potential to rival or surpass our lidar segment and within a decade, to scale another tenfold.
This is more than a product portfolio expansion. Guided by our mission to empower robotics and elevate lives, we are entering the next chapter of our growth story to become the key enabler of physical AI. If 2025 was a year of market validation and record performance, 2026 will be a year of acceleration and transformation. The opportunity ahead is massive, and we are ready to lead the way.
With that, I will now turn the call over to Andrew to discuss our financial performance and outlook. Andrew, please go ahead.
Thank you, David, and hello, everyone. Let me start by walking you through our full year operating and financial performance and share our thoughts and outlook for 2026. To be mindful of the length of our call, I encourage listeners to refer to our earnings release for further details.
2025 was a pivotal year for Hesai, marked by remarkable progress in both our financial performance and operational execution. We delivered record net revenues of over RMB 3 billion or USD 433 million, representing an increase of 46% year-over-year. This performance was underpinned by a substantial ramp in our production volumes, with total shipments exceeding 1.6 million units, more than tripling from last year, including nearly 240,000 units from robotics lidar.
This expansion reflects both robust demand across markets and our ability to execute consistently and reliably at scale across a broad range of applications from passenger vehicles, humanoid and quadruped robots to robotaxis, robovans, robotic lawn mowers and many more. Together, these have reinforced our position not only as a global volume leader, but also as the partner of choice for high-value, mission-critical applications.
Beyond strong top line growth, we also significantly improved the quality of our financial performance. Gross margin remained healthy at over 40%, while operating expenses, excluding other operating income, came down RMB 88 million or USD 13 million despite substantial revenue growth. This reflects strong operating leverage supported by our disciplined cost management as well as efficiency gains enabled by AI across R&D, manufacturing and operations.
These improvements flowed directly to the bottom line, enabling Hesai to achieve industry-first full year GAAP profitability with net income of RMB 436 million or USD 62 million. Full-year GAAP net income, excluding after-tax gains from equity investments of RMB 148 million or USD 21 million was RMB 288 million. or USD 41 million.
On a non-GAAP basis, full year net income reached RMB 551 million or USD 79 million, with the difference from GAAP net income mainly driven by stock-based compensation. Excluding after-tax gains from equity investments, full year non-GAAP net income was RMB 403 million or USD 58 million.
Kindly note that we have already delivered GAAP net income for 3 consecutive quarters and non-GAAP net income for 5 consecutive quarters, demonstrating the sustainability of our earnings performance.
Just as importantly, this profitability was paired with strong cash generation. We delivered positive operating cash flow of RMB 117 million or USD 17 million during the year, marking our third consecutive year of positive operating cash flow, while our net assets grew to around RMB 9 billion or USD 1.3 billion.
Today, we operate with the most robust income statement and balance sheet in the global LiDAR industry, reflecting our ability to scale technological leadership while maintaining a solid financial foundation. Building from this position of strength, we are entering 2026 with a dual focus, scaling lidar leadership while proactively expanding into new growth opportunities.
We expect our core lidar business to deliver shipments of 3 million to 3.5 million units in 2026. This expanded scale will reinforce our operating leverage, supporting sustainable profitability and steady cash generation. At the same time, we expect to maintain resilient gross margins through ongoing innovation and disciplined operations.
Additionally, and perhaps most excitingly, 2026 marks the beginning of commercialization for our new state-of-the-art products, which we believe will become the second growth engine for Hesai in the next decade. As we invest to advance these strategic priorities, we expect to drive a strong and resilient bottom line as we scale in 2026.
For the first quarter of 2026, we expect net revenues to be between RMB 650 million and RMB 700 million or USD 93 million to USD 100 million, representing year-over-year growth of approximately 24% to 33%. We also expect revenue momentum to strengthen progressively each quarter throughout the year.
To conclude, 2025 was a pivotal year that enhanced the quality and scale of our business. Building on this momentum, we are positioning to become the key enabler of physical AI, digitizing the real world, redefining how humans and robotics perceive and act. As we scale, our goal is clear: to build a globally competitive technology leader grounded in innovation and financial rigor, creating sustainable compounding value to our shareholders and the broader ecosystem.
This concludes our prepared remarks today. Operator, we are now ready to take questions.
[Operator Instructions] Your first question comes from Tina Hou with Goldman Sachs.
2. Question Answer
Congratulations on raising the volume guidance. And also, look forward to the new product launch. So my question is mainly focused on the Robotics business. Wondering if management can give us more details about the different verticals, including robotaxi, robovan as well as humanoid robot. How do you see the businesses pan out in 2026 and then beyond?
Thank you, Tina. It's Andrew here. I will take this question first. As David just quoted Jensen Huang's speech at CES, 2026 marks the ChatGPT moment for physical AI, where our lidar provides the crucial sub-centimeter special accuracy, serving as the indispensable bridge between the carbon-based world and silicon-based intelligence.
Because of this structural shift, our Robotics business is truly blooming everywhere. We are incredibly proud to share that according to industry trackers, Hesai is now ranked #1 across major robotics lidar submarkets.
Let me take a moment to walk you through the key Robotics verticals that may be of interest to our investors.
First, humanoid and quadruped robot. We see humanoid and quadruped robotics as a significant long-term opportunity. At the core of this vision is the need for precise perception and action as any robot interacting dynamically with the physical world relies on accurate sensing. This makes lidar a critical and ultimately standard component for positioning, navigation and obstacle avoidance.
We are currently ranked #1 in humanoid and quadruped robot segment according to GGII and have secured orders from leading players, including Unitree, HONOR Robot, Galbot, Magiclab and Vita Dynamics. We expect annual shipment in this segment to reach 5-digit levels in 2026.
Our JT128 lidar was deployed across Unitree's robot at the 2026 Spring Festival Gala and was selected for its superior range and reliability, enabling large-scale synchronized movements with high precision and stability.
Second, robotaxi. Hesai is the world's largest robotaxi lidar supplier according to Yole report. Our main and blind spotting lidars are widely deployed among Chinese leading players, including Pony.ai, WeRide, Baidu Apollo Go, DiDi and Hello. Globally, we have secured a supply agreement with a wide area of top autonomous driving companies across North America, Asia and Europe.
In short, we collaborate with nearly every key player worldwide, an important differentiator from our peers. Whether ADAS or mechanical lidar solutions are selected by robotaxi customers, our revenue model scales with their fleet size, number of lidars per vehicle and ASP.
As leading operators accelerate large-scale deployments, we expect exponential fleet growth to drive rapid revenue expansions for Hesai. For robotaxis, we anticipate 5 to 10 lidars per vehicle to ensure a full 360 degrees coverage.
Thirdly, robovan. The robovan sector is undergoing a major transformation. No longer limited to closed campuses, robovans are increasingly operating on complex urban rails. Supported by favorable government policies and proven business models, the market is projected to scale from 5 digits to 6 digits of robovans in 2026. Each robovan typically features 2 to 6 lidars.
Hesai is ideally positioned to capture this growth. We are the core LiDAR supplier for leading robovan players globally, including Zelos, Neolix, and Meituan and DoorDash, serving as the sole supplier for many. GII recently ranked Hesai #1 in lidar design wins for this sector.
Several players that previously relied on competitors' products are switching to Hesai this year, underscoring our role as the go-to hardware partner in the accelerating commercial robovan market.
Fourthly, robotic lawn mowers. The robotic lawn mower market is a major growth opportunity for our Robotics business. Global annual lawn mowers sales reached about 20 million units, yet lidar-equipped robotic lawn mowers account for just 1% to 2%, highlighting a huge untapped market as consumers adapt smarter, hands-free yard care.
Hesai is moving aggressively to capture this space. Since launching the JT Series 3D lidar at CES 2025, cumulative deliverables have already exceeded 200,000 units by 2025, supported by strong global partnerships with leading brands, including Dreame, MOVA and Nexlawn.
We recently secured a milestone agreement to exclusively supply 10 million JT lidars to Dreame and MOVA, ranked #1 globally by Frost & Sullivan for lidar robotic mowers in 2025. This record-setting order signals a fundamental industry shift, establishing lidar as the standard for high-end smart yard products and ushering in a new era of outdoor robotics perception.
As a quick summary, across these diverse applications, our Robotics business sits at the heart of the ecosystem, consistently delivering relatively higher ASPs and strong margins. After shipping 200,000 Robotics lidar units in 2025, accelerating momentum across these segments gives us full confidence that volumes will at least double in 2026. In the long term, new types of robots will begin to adopt lidar.
For example, new technologies, 2-wheel scooters recently integrated our FTX lidar for autonomous operation. The robotics market could have a TAM several times larger than ADAS. After all, you can drive only one car, but in the future, 10 robots could be working alongside you. Tina, that's my answer to the question just raised.
Your next question comes from Tim Hsiao with Morgan Stanley.
This is Tim from Morgan Stanley. Congratulations on the strong results and sustained industry leadership.
I just want to have a quick follow-up questions also about robotics market because the market is apparently very interesting, exciting and highly focused by investors. But we noticed that the founders of Hesai have also invested in a company called Sharpa, which has been gaining a lot of attention recently.
So just want to understand how should we view the relationship between Hesai and Sharpa? And is there any opportunity for business cooperation with Hesai within that year? And how does management view the future technology and supply chain synergies between the two entities? That's my question.
Thank you, Tim. Thank you for the question. And it's actually a great topic, and I also wanted to offer from my side.
First, I want to clearly define the structural relationship. Hesai and Sharpa are two fully independent operating entities. There is no relationship of equity subordination or operational control between them. What were the co-founders of Sharpa were responsible solely for strategic guidance at Sharpa as a core shareholder role, and we do not hold executive position for actual operational growth.
Our primary and full-time identities remain the CEO, CTO and the Chief Scientist of Hesai, and our focus and energy are dedicated to Hesai. Sharpa possesses its own mature and independent team.
While looking ahead, we remain open to future collaborations where it makes strategic and commercial sense as it can create an actually compelling win-win dynamic. Both companies can apply their technologies in real-world scenarios while benefiting from shared insights and industry-leading expertise.
For example, as an AI robotics company, Sharpa may utilize Hesai's products while Hesai as a hardware innovator may explore deploying humanoid robots in its automated production line over time. At the same time, Sharpa's progress in AI could broaden the perspective of founders and the Hesai team and potentially inform our long-term innovation road map.
That said, I want to emphasize that the coordination, if any, in the future; will be conducted strictly on fair and market-based terms with the objective of maximizing long-term value for Hesai's shareholders. Based on our preliminary estimate of the future humanoid robotics market and the growth of Hesai, such operation will only contribute a small portion of our business.
As Hesai continues to evolve into a key enabler of physical AI, digitizing the real world, redefining how human and the robotics perceive and act, we remain focused on executing our core strategy. This includes strengthening our leadership in lidar, advancing our next-generation eyes and muscles product portfolio and driving sustainable long-term growth by building out the Hesai ecosystem.
We believe the addressable market we're targeting over time expand well beyond the traditional lidar segment, and we're truly excited about the journey ahead. This is hopefully helpful information to help you understand what Hesai and Sharpa each are trying to do and the possible synergies and the collaborations between the two entities. Thank you, Tim, for the question.
Your next question comes from Jeff Chung from Citi.
This is Jeff from Citi. First of all, congratulations, fantastic results. So my first question is that we have the first quarter revenue guidance. So could you give us more color on the first quarter volume guidance? And separately, we recognize Hesai did a great job with the sequential OP margin improvement in the past 4 quarters. Could you give us more color on the first quarter and the full-year GP margin and OP margin guidance?
Thank you, Jeff. I will take this question, and I'll try to address our 1Q and the full year guidance for 2026 to the extent I can. For the first quarter of 2026, we expect the total revenues to be between RMB 650 million to RMB 700 million, representing a solid year-over-year growth of approximately 24% to 33%.
On the volume side, we anticipate total shipments to be in the range of 400,000 to 450,000 lidar units, including around 100,000 units from Robotics. We have delivered GAAP net income for 3 consecutive quarters and non-GAAP net income for 5 consecutive quarters and expect to maintain this momentum.
It is important to note that due to typical automotive industry seasonality and the timing of the holidays, we do expect a sequential decrease in deliveries compared to the seasonal high we saw in the fourth quarter last year. This is entirely consistent with our historical patterns.
However, the fundamental demand for our lidars remains exceptionally strong in 2026, and we expect both revenues and shipment volumes to increase sequentially over the course of 2026. We are highly confident in our accelerating momentum and our ability to maintain a healthy financial profile as we execute our 2026 road map.
Looking ahead to 2026, we see it as a true inflection point. On one hand, we anticipate strong demand for lidar in both passenger vehicles and robotics, which is expected to drive meaningful increase of our full year 2026 revenues. Correspondingly, we are raising our shipment guidance to a record 3 million to [ 3 ] million units for this year, with both ADAS and Robotics lidars expected to roughly double year-over-year.
While volume is scaling rapidly, we do anticipate a potential decrease in blended ASP. That's mainly due to, first, modest volume-based pricing and standard annual decline for our larger order strategic OEM customers. That's mainly for the ADAS products. And secondly, a shift in product mix towards certain lidar products with a relatively lower unit prices, such as the AT series, FT series and JT series, typically around 1 to couple of hundred U.S. dollars each.
Though these products will account for a larger share of deliveries and revenue compared with our traditional high ASP Robotics products such as Pandar and XT Series. That said, we are highly optimistic about our top line and margin resilience because of several strong positive catalysts accelerating in 2026 and 2027.
First, lidar is rapidly transitioning from an optional add-on to a standard configuration, successfully penetrating the mass market for vehicles priced between RMB 100,000, which will continuously drive up overall the penetration rate.
Second, Level 3 vehicle deployment in China will drive multi-lidar setups, pushing lidar content per vehicle to as high as $500 to $1,000 range. We have already secured multi-lidar design wins with our core customers, including Li Auto, Xiaomi and Changan, featuring 3 to 6 lidars per vehicle, with SOP planned for 2026 to 2027.
Third, our overseas ADAS business is expected to start contributing in as early as 2026, marking the beginning of global ADAS lidar mass adoption with international ADAS programs typically carrying higher ASPs. We expect our partnership with NVIDIA to roll this game forward.
Fourth, our Robotics business continues to gain momentum across diverse applications and customers, and it typically carries a relatively higher ASP and margin compared to ADAS.
Finally, our newly second growth engine, the eyes and the muscles of physical AI, will serve as a powerful new driver for our long-term growth. Stay tuned for two new products that we plan to launch in the coming months, each targeting at RMB 1 trillion TAM.
On the profitability front, through continued cost optimization across ASIC design, supply chain and manufacturing and with the launch of our FMC500 SoC to improve cost structure in ADAS products, we expect our group blended gross margin to remain resilient in 2026, despite a strong increase in ADAS lidar shipments. As a result, we are confident that the profits from our core lidar business will continue its solid growth trajectory.
Additionally, and perhaps most excitedly, 2026 marks the beginning of commercialization for our new state-of-the-art products, which we believe will become the second growth engine for Hesai in the next decade.
In short, we are entering 2026 with accelerating shipments, robust revenue growth, a highly disciplined margin profile, solid bottom line increase and exciting new growth engines. Jeff, that's my answer to your question. Thanks for that.
Your next question comes from Aaron Wang with Jefferies.
This is Aaron from Jefferies. I just have a quick question on our guidance. Last year, we had a profit guidance for the full year. I was wondering if the company will also provide a full year net income guidance for 2026.
Thank you, Aaron. Given the differences in compliance requirements and listing rules between the U.S. and Hong Kong market, as you know, we just listed in Hong Kong, and to align with the best disclosure practices for dual listed companies; we have decided not to provide specific full year net income guidance at this time.
However, I want to emphasize that this adjustment in disclosure does not reflect any lack of confidence in our business. On the contrary, underpinned by our solidified customer base, undisputed industry dominance and a disciplined cost structure, we are fully confident in maintaining our growth trajectory of revenues, shipments and profits in 2026.
At the same time, we highly encourage investors to look forward to our new business initiatives. We are investing strategically in these areas, and they are expected to become Hesai's second growth engine. Aaron, that's my answer to your question.
Your next question comes from Nora Min with UBS.
This is Nora from UBS. Thank you for trusting me with the most exciting question. So what is the master plan behind this non-auto, non-lidar new product? Would you share with us a bit of timeline, a bit of progress, a bit of more detail?
Thank you, Nora. Our guiding mission has always been to empower robotics and elevate lives. We have never defined ourselves solely as a lidar company. So as Jensen Huang and David repetitively mentioned, we believe 2026 will be the ChatGPT moment for physical AI. We are entering an era where AI will truly understand the rules of the physical world and learn to interact with it, which will trigger a big bang in robotic applications.
The physical AI revolution is accelerating at an unprecedented pace, but many of its critical building blocks are still in their early stages. These gaps represent enormous white space opportunities. Hesai is repositioning its role in the new era as a key enabler of physical AI, digitizing the real world, redefining how humans and robotics perceive and act.
In the next few months, we will launch two groundbreaking products, each targeting a mass trillion RMB market. First, the eyes, enhancing perception and situational awareness beyond what is currently possible; and second, the muscles, delivering precise, powerful motion control for robots and autonomous systems.
Regarding the financial outlook of these two new products, we anticipate initial revenue contributions from these new products beginning as early as 2026. Within 5 years, we expect this business to rival or even surpass the scale of our current lidar segment. Within a decade, it has the potential to scale another tenfold lidar -- larger.
As we expand into the broader physical AI ecosystem with our upcoming eyes and muscles products, our core advantages come from strategic foresight and a decade of lidar mass production experiences. We tackle challenges head on, refining our products to lead in performance, quality and cost simultaneously.
Building the muscles of physical AI naturally extends our expertise in materials, simulation, design and precision manufacturing, backed by our proprietary ethics, in-house production and rigorous quality management to deliver reliability, scalability and extreme performance at scale.
For the eyes, our strength comes from world-class software and algorithm capabilities seamlessly integrated with our hardwares. Years of R&D in 3D risk construction and rendering recently earned us an award at the September 2025 SIGGRAPH Challenge, a premium global event showcasing the pinnacle of computer graphics. We are truly excited to bring these best-in-class algorithms to life in our soon-to-launch hardware tools.
Together, all these capabilities let us push physical boundaries and raise performance ceilings, supporting our new positioning as Hesai evolves into a key enabler of physical AI, digitizing the real world, redefining how humans and robots perceive and act. Nora, that's my response to your question.
Your next question comes from Jessie Lo with Bank of America Securities.
This is Jesse from Bank of America Securities. Congrats on the great results. So my question is surrounding the NVIDIA cooperation. So following the announcement of us selected as the partner for NVIDIA DRIVE AGX Hyperion 10, what are the next steps? Or what could we expect to see in the coming years? And what differentiates us from the peers in this collaboration?
Yes. This is David. Maybe I will offer some insight and our interpretation of such a collaboration. So first of all, I wanted to just help people understand the NVIDIA -- the platform is beyond only the computational hardware. It's the full stack solution, meaning it's the hardware, the software and the data.
And then we are the selected partner for lidar. What that means is that, obviously, in the end, NVIDIA has customers and the customers will ultimately decide the vendor. But as we are already selected by NVIDIA.
It just makes this process a lot easier in the following way. And the first is that the system, the sensor setup, the computation is already a complete system, and that's proven. Obviously, let's say, somehow you wanted to pick a different vendor who's not on the list, it just make it harder for you to verify that.
And then that's actually the smaller part of the problem. The much bigger problem is the rest, including training the model and also data collection and the verification of such a system, right? You can imagine for NVIDIA to provide such a full stack solution to all the robotaxis and the Western OEMs that they're working with you need a large amount of data they already have for the project we already have with NVIDIA, that's with Hesai lidar.
So now let's say, for whatever reason, obviously, I will not understand or support, but they have to use a different lidar. And then you immediately have to face the challenge that what do you have to do with the model we train and the data we collected for the past actually years of collaboration.
So it's not impossible, it just make it very inefficient if you had to do that. So -- and that's one of the reasons that we are super excited and definitely honored to be in this program. And we're also motivated to work alongside with NVIDIA when they are working with customers globally, promoting such a unified solution.
And to me, this actually is the smartest way to push the autonomy because in the end, it's less important if you have different components. It's important that if you have one solution that works and then try to utilize and not reinvent, we will utilize the same solution with all those customers.
And I do believe NVIDIA also shared the same vision, and that's why we are now working very closely with them in supporting them with our latest sensors and in qualifying them in different parts of the world and try to develop and accelerate the programs they already have and the new programs that they will be signing.
Your next question comes from [indiscernible] with CICC.
This is Dani from CICC. Congrats on your strong results last year. I have two questions for you. The first one is about the price. What's your outlook on the trend of your ASP decline? And my second question is, could you please share more color on your methods for further cost reduction?
Thank you, Dani. We wouldn't suggest our investors read too much into total and blended ASPs. It's really just a simple math, and the decline is mainly driven by product mix. ADAS lidars, which are generally lower priced than our Robotics lidars, are taking a bigger share. As Level 3 ramps up, our blind spotting FTX lidars, which are lower priced than long-range ATX lidars, will push blended ASP down further. So this isn't really about price, it's mostly about mix.
That said, ADAS lidars follow the typical annual automotive price declines. For example, ATX is expected to carry a price tag around $150 in 2026, which is already near an optimized cost structure. So we expect the future declines to narrow. Over time, this will be offset by structural growth, more lidars per vehicle and high-performance, higher-priced L3 products like ETX as well as expansion beyond China.
Looking ahead, we see clear and durable pathways to further reduce lidar costs driven by scale, technology and manufacturing excellence. First, scale is a powerful lever. After delivering 1.6 million units in 2025, tripling year-over-year, we are guiding 3 million to 3.5 million units in 2026. This step-change in volume will meaningfully dilute fixed costs and strengthen our supply chain leverage.
Secondly, our proprietary technology, chip technology is structurally lowering our BOM. With 100% in-house development of core modules and our FMC500 SoC integrating MCU, FPGA and ADC functions, we are replacing costly discrete components with a highly efficient single-chip solution, reducing cost while improving performances. Meanwhile, our in-house fab integration is expected to ramp by 2026, further improving our cost structure.
Finally, our highly automated in-house manufacturing drives compounding efficiencies. By standardizing core architectures and continuously improving yields, we expect to maintain a healthy margin profile in the future. Thank you, Dani.
Your next question comes from Frank Tao with CMBI.
I'll add my congrats on the upbeat shipment volume guidance as well. Could management share with us your outlook for the operating expenses in the year of 2026?
Thank you for raising this question. We are very pleased with our progress in expense management, as we guided at the beginning of last year. For year 2025, our operating expenses actually came down by RMB 88 million despite our substantial revenue growth. This clearly reflects the strong operating leverage in our business, supported by our highly disciplined cost management.
A key driver behind this is that AI is at the heart of how we work. We firmly believe that any company not fully embracing AI in 2026 will inevitably be left behind by the market. Because of this, we will continuously and aggressively embrace AI to boost our operational efficiency, transform our workflows and strengthen profitability.
So far, this proactive approach has already delivered tens of millions of renminbi in measurable cost savings and significantly improved our productivity.
Looking ahead to 2026, we anticipate a modest mid-teen increase in overall OpEx, primarily due to RMB 200 million invested in new eyes and muscles products in R&D. Otherwise, excluding new business spend, OpEx is expected to be well managed, flat or even down in single digits in 2026, demonstrating our discipline and AI adoption. Thank you.
That concludes our question-and-answer session. I'll now hand back to Yuanting Shi for closing remarks.
Thank you once again for joining us today. If you have any further questions, please feel free to contact our IR team. This concludes today's call, and we look forward to speaking to you again next quarter. Thank you, and goodbye.
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Hesai Group — Q3 2025 Earnings Call
1. Management Discussion
Hello, ladies and gentlemen. Thank you for standing by. Welcome to Hesai Group's Third Quarter 2025 Earnings Conference Call. [Operator Instructions] Please note that today's conference call is being recorded.
I will now turn the call over to our first speaker today, Yuanting Shi, the company's Head of Capital Markets. Please go ahead.
Thank you, operator. Hello, everyone. Thank you for joining Hesai Group's Third Quarter 2025 Earnings Conference Call. Our earnings release is now available on our IR website at investor.hesaitech.com as well as via Newswire services.
Today, you will hear from our CEO, Dr. David Li, who will provide an overview of our recent updates. Next, our CFO, Mr. Andrew Fan, will address our financial results before we open the call for questions.
Before we continue, I refer you to the safe harbor statement in our earnings press release, which applies to this call as we will make forward-looking statements. Please also note that the company will discuss non-GAAP measures today, which are more thoroughly explained and reconciled to the most comparable measures reported under GAAP in our earnings release and filings with the U.S. Securities and Exchange Commission and the Hong Kong Stock Exchange.
With that, I'm pleased to turn over the call to our CEO, Dr. David Li. David, please go ahead.
Thank you, Yuanting, and thank you, everyone, for joining our call today. Let's start with an overview of this quarter's progress.
Q3 was a quarter of powerful momentum and exceptional execution with net revenue surging nearly 50% year-over-year and a landmark milestone achieved, we produced over 1 million LiDAR units in 2025 alone and are the first to do so globally. We've also led the long-range automotive LiDAR market for 7 consecutive months, capturing an impressive 46% share in August, 1.5x the second player and 2.4x the third according to Gasgoo.
Our profitability performance is even more remarkable. After turning solidly profitable ahead of schedule in Q2, we kept the momentum going in Q3, delivering a record quarterly GAAP net income of RMB 256 million and a 9-month GAAP net income of RMB 283 million, achieving our full year target of RMB 200 million to RMB 350 million, well ahead of schedule. This milestone further reinforces our undisputed financial leadership in the LiDAR industry.
With robust growth and solid profitability working hand-in-hand, we're building powerful long-term momentum and creating sustainable value for our shareholders.
Now let's dive into our Q3 business highlights. Starting with our progress in the ADAS market. Firstly, for ADAS, LiDAR is no longer optional. It's rapidly becoming a standard feature. As a result of our product leadership and strong client relationships, we are proud to announce our new design wins from both of our top two ADAS customers across all their 2026 models, achieving 100% LiDAR adoption.
On top of that, select facelifted versions of Zeekr's flagship models are now rolling out with Hesai LiDAR as a standard feature. Looking ahead, a growing number of best-selling models across our diverse client base are slated for SOP with Hesai in the second half of 2025 and throughout 2026, further cementing our position as a LiDAR partner of choice.
Beyond this, we are excited to see China taking decisive steps towards higher-level autonomous driving. In September, the MIIT introduced conditional approval for L3 vehicle production for the first time. This was quickly followed by a public consultation on the new mandatory safety standard for L2 systems. Together, these regulatory developments are clearing the runway for a new era of smarter, safer autonomous driving in China.
As regulations take shape, one thing is clear, a higher-level autonomous driving system cannot tolerate a single point of failure, making safety redundancy not just important, but essential. At the same time, LiDAR sensors must be factory integrated rather than retrofitted, pushing automakers to future-proof their platforms for tomorrow's L2 and L3 capabilities. The trend is accelerating even as software capabilities continue to evolve, pioneering OEMs are already launching multi-LiDAR vehicles in 2025. These models featuring 2 to 5 LiDARs are winning consumer recognition and achieving strong sales results.
To gear up for the new era of L3 autonomous driving, we launched our Infinity Eye B LiDAR solution in April. It pairs our forward-facing long-range ETX LiDAR, a new benchmark with the world's longest detection range, with FTX blind-spot LiDARs, offering the industry's widest field of view.
Most excitingly, I'm thrilled to share that this quarter, ETX landed yet another design win, this time with a top 3 domestic new energy vehicle automaker, one of our valued existing customers, paired with multiple FTX units for full 360-degree blind-spot coverage. Mass production is slated for late 2026 or early 2027. These developments reaffirm a principle we've always stood by.
The cost of LiDAR is nothing compared with the priceless value of human life. As the auto industry moves toward higher-level autonomy, LiDAR content in new vehicles is ramping up fast. We now expect 3 to 6 LiDARs per L3 vehicle, representing a system value of roughly USD 500 to USD 1,000 per car in the long run. This trend is massively expanding our addressable market and supercharging the long-term growth potential of our ADAS business.
Beyond our progress in ADAS, our Robotics business is becoming an increasingly powerful growth driver, fueled by expanding autonomous driving fleets. As core technologies advance rapidly, autonomous driving companies worldwide are approaching a tipping point towards scaled operations, and we're proud to be a key enabler of this transformation.
In China, the latest generation of autonomous driving fleets are adopting ADAS LiDAR solutions alongside optimized chips and vehicle design to lower total BOM costs and accelerate commercialization. Spearheading this shift, we've recently signed new deals with Pony.ai, Hello Inc. and JD Logistics. And I'm excited to share that for some of their models, all LiDAR units, up to 8 main and blind-spot LiDARs will be supplied entirely by Hesai.
Internationally, we have also made strong progress. Many overseas robotaxi companies continue to favor mechanical spinning LiDARs for their performance and stability, making them less price sensitive and creating meaningful opportunities for us. We are proud to share that we have signed new LiDAR supply agreements with leading global autonomous driving companies, including Motional and others across North America, Asia and Europe.
These large-scale programs represent deals worth tens of millions of dollars, with strong follow-on potential as deployments expand. As our partners move toward large-scale operations in the coming years, this marks a defining milestone for the autonomous driving industry.
Building on these operational milestones, September marked a historic moment for Hesai as a public company. We successfully listed on the Main Board of the Hong Kong Stock Exchange, becoming the world's first LiDAR company with dual primary listings in both the U.S. and Hong Kong. This was the largest IPO in the global LiDAR sector, raising USD 614 million after the greenshoe option, with strong support from global institutional investors and industry leaders. The offering underscores confidence in the long-term potential of the LiDAR industry and in Hesai's ability to deliver at scale. More importantly, it strengthens our financial foundation, enabling us to invest in innovation and capture new market opportunities.
To wrap up, our strong Q3 results are a powerful testament to Hesai's momentum and execution. The successful completion of our Hong Kong IPO marks a bold new chapter for Hesai. We are witnessing the dawn of an AI-driven fourth industrial revolution, an era that promises unprecedented gains in productivity and human well-being. As we look toward the decade ahead, Hesai is rising to this moment, evolving into a full spectrum technology infrastructure builder that redefines how cars and robots perceive and interact with the world.
With that, I will now turn the call over to Andrew to share more details on our financial performance and outlook. Andrew, please go ahead.
Thank you, and hello, everyone. Before we get into our financial performance this quarter, I'd like to start with a key milestone for Hesai as a public company.
In September, we completed our dual-primary listing on the Main Board of the Hong Kong Stock Exchange under the ticker, 2525. Through this global offering, Hesai has become the world's first LiDAR company to be listed in both the U.S. and Hong Kong capital markets. The market response to our Hong Kong debut was exceptional. The public tranche was nearly 169x oversubscribed, while the international tranche attracted demand of more than 14x the available shares.
In total, we raised USD 640 million after the greenshoe option, further strengthening our balance sheet and improving trading liquidity. These resources have greatly enhanced our capacity to invest in innovation, expand production and drive operational excellence. We are now in a strong position to capture growing opportunities in the global LiDAR market and extend our leadership as adoption continues to accelerate.
I will now walk through our Q3 financial and operational performance. To be mindful of the length of our earnings call today, I encourage listeners to refer to our earnings release for further details.
Q3 was another outstanding quarter, delivering record-breaking results across the board. Total shipments reached 441,398 units, up 229% year-over-year, while net revenue surged 47% to RMB 795 million or USD 112 million, marking our sixth consecutive quarter of robust year-over-year growth. This powerful momentum fueled by the surging adoption of our category-defining ATX amid the industry's rapid shift toward LiDAR as a standard feature along with a 14-fold year-over-year rise in robotics LiDAR shipments across expanding applications underscores the strength and scalability of our business model.
Our gross margin remained healthy at 42%, driven by economies of scale and continued gains in manufacturing productivity. Just as importantly, we're now embedding AI across R&D, operations and customer support, unlocking new efficiencies and strengthening the foundation of a lean optimized expense structure. You may have noticed that today's prepared remarks are being delivered through AI-generated voices. While the pronunciation isn't perfect yet, it's a small but meaningful example of our commitment to wholeheartedly embrace AI across the organization.
We believe that for companies today, embracing AI is just like embracing digital transformation 20 years ago. It's the key to building greater competitiveness for the future. Since Q2, we've deployed an intelligent assistant across a wide range of daily workflows, cutting costs, shortening cycles and improving quality. This AI-driven approach has already delivered tens of millions of RMB in savings across travel, documentation, hiring, testing, coding and more.
As a result of our adoption of AI and other cost control measures, total operating expenses declined year-over-year in Q3, keeping us on track to achieve RMB 100 million in OpEx savings in 2025 compared with last year.
Building on our strong momentum, we delivered a record net income of RMB 256 million or USD 36 million in Q3, bringing our 9 months total to RMB 283 million or USD 40 million. We've already hit our full year profit target of RMB 200 million to RMB 350 million, 1 quarter ahead of schedule. This achievement reflects the scale and efficiency our business has reached, where growth is now translating directly into earnings.
Higher volumes drive better unit economics, which in turn fuels more growth, creating a self-reinforcing cycle of profitability and innovation. It's worth noting that Q3 net income included gains from equity investments of RMB 148 million or USD 21 million. Excluding these gains, quarterly net income would have remained strong at RMB 108 million or USD 15 million.
Taking this into account, we are raising our full year GAAP net income guidance for 2025 to a range of RMB 350 million or USD 49 million to RMB 450 million or USD 63 million, and we expect full year net income, excluding these gains from equity investments to stay within our earlier guidance range of RMB 200 million to RMB 350 million.
For the remainder of the year, we expect to carry forward the strong momentum we have built. For Q4, we're projecting net revenues of between RMB 1,000 million or USD 140 million and RMB 1,200 million or USD 169 million, representing a year-over-year increase of 39% to 67%.
To wrap up, our successful listing on the Hong Kong Stock Exchange marks an exciting new beginning for Hesai. We're growing faster, scaling smarter, and executing stronger than ever with accelerating revenues, solid margins and a proven profitability. We're building competitive advantages that will keep compounding over time. We are more energized than ever to seize the opportunities ahead. This concludes our prepared remarks today.
Operator, we are now ready to take questions.
[Operator Instructions] Your first question comes from Tina Hou from Goldman Sachs.
2. Question Answer
Congratulations on a very strong result. So my question, the first one would be related to the pricing side of things. As we go into the last quarter of this year and enter into price discussion with customers next year. So just wondering if you could give us any color in terms of what kind of pricing we're looking at for next year, considering everything, the annual price cut, competitor dynamics. That's number one.
Number two is in terms of the volume. So just wondering if management is seeing next year, the OEM customers are going to accelerate the adoption of LiDAR. And in your view, when will be sort of the starting point or the takeoff point for mass market models to start having LiDAR as a standard option? And I guess related to that, if there is any color you can give us in terms of your 4Q as well as 2026 guidance or any kind of color on volume, it would be really helpful.
Thank you, Tina. So I understand your question. I will try to cover the -- our, like guidance or forecast or color for the current year and also year 2026. Let's talk about the 2025 year, full year guidance first.
On revenue side, our Q4 revenues are expected to reach about RMB 1.0 billion to RMB 1.2 billion, bringing full year 2025 revenues to approximately RMB 3.0 billion to RMB 3.2 billion, representing a year-over-year increase of nearly 50%. This strong growth is driven by the rapid adoption of LiDAR in passenger vehicles and the expanding use of the robotic LiDAR across new applications.
Volume and ASP. During the first 3 quarters of 2025, we shipped about close to 1 million units in total. We expect the shipments to continue accelerating throughout the year with 4Q shipments reaching approximately 600,000 units as a seasonal high. The ATX LiDAR is expected to account for roughly 80% of total deliveries in Q4 in terms of volumes. It has a market price of around $200 with discounts offered to major customers on our pricing strategies.
The stronger-than-expected demand for ATX has accelerated its replacement of the AT128 LiDAR among our OEM customers in the second half of 2025. Meanwhile, several automakers have adjusted their second half production schedules for vehicle models equipped with AT128, leading to softer demand for the product. As AT128 is priced at several times of the price of ATX, this shift in product mix has resulted in a relatively lower blended ADAS ASP for year 2025.
Margin-wise, the blended gross profit margin is expected to remain healthy at around 40% in Q4. We are raising our full year 2025 GAAP net income guidance to RMB 350 million to RMB 450 million. Excluding gains relevant to equity investments recorded in Q4, normalized full year GAAP net income remains within our previous guidance range of RMB 200 million to RMB 300 million. On the non-GAAP metrics, you should add an additional RMB 120 million for stock-based compensation.
Looking ahead for year 2026, we see it as a true inflection point. On one hand, we anticipate strong demand for ADAS LiDAR in passenger vehicles with our LiDAR shipments expected to reach at least 2 million to 3 million units or potentially even higher if L3 adoption becomes an industry-wide trend.
On the other side, we do anticipate a potential decrease in blended ASP. That's mainly due to three things: one, a shift in product mix towards our ADAS LiDARs, which have a relatively lower unit price, but we will see higher deliveries and revenue share; two, the modest volume-based pricing for our large order strategic customers; three, the standard annual decline for downstream customers.
That being said, there is reason to be optimistic. We expect a strong positive catalyst to emerge in year 2026 and 2027. First, L3 vehicles deployment in China will drive multi-LiDAR setups, pushing LiDAR content per vehicle to USD 500 to USD 1,000. We've already landed a flagship L3 program with a renowned customer and more exciting deals are in the works. Second, our overseas ADAS business is expected to start contributing, marking the beginning of global ADAS LiDAR mass production. Third, our Robotics business continues to gain momentum across diverse applications and customers, and it typically carries a higher ASP and margin compared to ADAS. Fourth, we are also exploring new growth engines, and we'll share more updates as things progress.
On the profitability front, we expect gross margins to remain relatively stable in 2026 compared with 2025, supported by continued cost optimization across product and ASIC design, supply chain and manufacturing. At the same time, growing adoption of multiple LiDAR in ADAS is expected to help offset pressure on blended ASPs.
In short, we expect to enter 2026 with a clear path towards a double-digit year-over-year revenue growth, accelerated shipments, a stable margin profile and potential new growth engines. Detailed guidance will follow in the coming quarters. Altogether, this sets the stage for sustained growth in the years ahead.
Tina, hopefully, this covers your questions about our guidance in the next...
And I just want to say that was actually, Andrew. It's not a robot, and I am not a robot.
Your next question comes from Tim Hsiao from Morgan Stanley.
This is Tim. Congratulations on the robust results and steady project wins. I've got two questions. The first one about the competition because we noticed that the competitors in China launched new products to undercut Hesai's ATX product. So how should we think about the peers, the mainstream product like EMX versus the key volume driver of the Hesai, i.e., ATX?
The second question is about the technology because we noticed lots of discussions over the past few months about the SPAD SoC system and chip lately. So how should we think about the advantage of SPAD-based digital LiDAR? So I also want to get some updates from the management. Yes, those are two questions from my side.
Thank you, Tim. Let me try to give you a little more insight on both competition and our view on some of the upcoming technologies.
The first one is competitive products. It's a very competitive market, and we're facing -- always facing very strong competitions from quite a few players, and you name one of them. It's a great product, and they always have great technology. But I do want to bring your attention to maybe zoom out a little bit. And what I'm trying to help you understand is that our strategy is that we have a very structured time line to release each generation of product, right? And in the mechanical LiDAR era was like a Pandar128. It was really the king of the world. We don't have to go there.
Then AT128, I think it's fair to say, looking back, it is the LiDAR that defined the automotive LiDAR industry. We shipped the largest volume and was also relatively expensive with a higher ASP than the competitors. And most importantly, people believe that's the highest quality, highest performing by a large margin product, super successful, right? That's Gen 2, right?
Then Gen 3 is ATX. And the ATX, I think by now, it's fair to say it's another complete victory on the market that we received way more contracts than any of the competitors, and we're shipping a much larger volume. And I think everyone believes that this is a much higher performing and as reliable as any Hesai product to the highest quality standard. So again, that's Gen 3, that's ATX, that's clear, right?
So -- and of course, we also have our own time line to release the next generation. But as a company that has enjoyed the highest market share and the most premium brand and product, we don't want to have to rush things just because competitor released a product after us, that shouldn't be the strategy. The strategy is that you have a certain rhythm or pace and you put everything -- all the good things into the product based on the timing you have.
So -- and that's the biggest reason that when somebody released a product like half a year or a year after us before our next generation, there always some interesting features. But in the end, if you zoom out and look at the overall results, we -- at least so far, we always had the greatest achievement on performance, volume, definitely margin. And in the end, it's really always the most well-rounded and the best-performing product on the market. So hopefully, we'll be able to continue the trend. We will never know what we don't know in the future. But so far, leveraging our semiconductor technology, our manufacturing capability, our strong brand power and the super trusted relationship with almost all of the top OEMs in China.
In China, we believe we'll be able to continue that. Even though every generation, we will have a price decline because that's the nature of such a market. We also continue to innovate to keep the gross margin as you continue to see, right? And so that's what we see. Hopefully, that gets the first question out of the way.
Now Tim, you also mentioned a very interesting question, which is the second one is on SPAD. SPAD stands for Single Photon Avalanche Diode, right? I'll give you a little more insight that's beyond pure competitive advertisement. A, we're actually the first one to use SPAD technologies on any automotive LiDAR for all the competitors we know. We shipped the first fully solid-state automotive LiDAR for near-range blind detector, FT120, I think, since 2, 3 years ago, not in large volume, but it is a fully automotive grade product that's on cars globally, right?
And then we also acquired SPAD technology companies out of Switzerland because we believe they have interesting technologies and we look at them, we feel like it will be a good addition to us. We actually did that.
However, having said that, we wanted to be objective and rational about what SPAD can and cannot do today. One of the things is that if you use off-the-shelf SPAD technology and you simply integrate them, one of the challenges you face is actually noise. And when you look at any LiDAR with noise, the challenge you face is that it will have a higher chance of false trigger because SPAD is great, but it's too sensitive. You need to be able to mitigate that. And that's, I think, the biggest question and the challenge for the industry today. And I think everyone is trying to find a solution. But today, if you look at the long-range SPAD, people always tell you with a high sensitivity, there's always a higher chance of false trigger, which is actually very bad for LiDAR as a safety product. You don't want your product to experience that type of problem.
And we're diligently working on that. We have our in-house solution, hopefully to be able to address that. But our strategy isn't always just try to buy off-the-shelf components that is the latest and just put it in. Our goal is to incorporate whatever is mature enough as a safety component. And then put in latest and the greatest. That has to be in that order. Your reliability, safety has to be first. You don't want to be sacrificing your reliability. You don't want to increase the chance of false triggering for such a thing as a LiDAR.
We always try to explain to the market. It's almost like your invisible airbag. Just to make it simple for people to understand, you probably don't want to sacrifice the chance of a new airbag when you know there is challenge of false triggering and you definitely want to be able to solve that. And we do believe that will be solved. We do believe SPAD has a lot of great new features and also more room on cost that will be eventually adopted, and we're also diligently working on that. But I just want people to be more informed on the pros and cons of such an interesting technology that everyone is carefully evaluating.
Your next question comes from Jeff Chung from Citi.
David, this is such a great result and congratulations with the excellent earnings. So I have a question on L3 for David. So any sign for the improvement of the product mix and LiDAR per car? And any view on the Level 3 legislation in both China and Europe?
And I also got a question for Andrew. So it looks like the 4Q guidance is really optimistic in the sense that in the best case scenario, revenue should up 50% Q-on-Q and the core earnings should up 100% Q-on-Q. Could you share with me the views of why you're so confident on this?
Jeff, okay. Let me first cover these two questions. For the legislation in relation to L3, we are thrilled by China's decisive push towards higher-level autonomous driving. As regulations evolve, safety redundancy becomes non-negotiable and the LiDAR must be factory integrated rather than retrofitted, driving automakers to future-proof platforms for L3 capabilities.
The market is moving really fast. Leading OEMs are already rolling out multi LiDAR vehicles in year 2025. Huawei's AITO M9 with 4 LiDARs, AVATR 12 with 4, Zeekr 9X with 5 and NIO ES8 with 3, all received strong customer demand and proving that demand for smarter, safer vehicles is real. So we see tremendous upside in LiDAR content growth. As L3 adoption accelerates, the number of LiDAR units per vehicle is expected to increase to 3 to 6 or even more, along with the trend towards upgrading main LiDARs to high-end models like our ETX. This could lift the total LiDAR content per vehicle to around USD 500 to USD 1,000.
Beyond the numbers, every additional LiDAR unit directly enhances safety, underscoring the irreplaceable value of our technology and the critical role we play in shaping the autonomous driving future.
We are seeing customers increased discussion for L3 applications and, of course, more LiDARs. We have signed a flagship program featuring ETX and multiple FTX already and more contracts on the way. Stay tuned for future developments. We will share more details when available.
Thank you, Andrew. And this is David. I wanted to also give you a little more insight on how I think about this problem. Obviously, we're talking about price. We're talking about the total dollar amount on each of the vehicles. But I think in the end, what's deciding a dollar amount is really the value it creates, right? So -- and that is rapidly changing from Level 2 to Level 3, right?
In the Level 2 era, we're looking at an airbag, right, or a seat belt. Then of course, it's important. Of course, it's saving lives. But if you look at airbags, it's also saving lives. It has a certain price expectation people have. You're not going to be willing to pay $10,000 for airbag, even though it's life-saving. So for such a function, in the end, we feel like below $200 is the right range, and we're at there. That's why I think feel -- this is the biggest reason penetration rate is exponentially growing. Everyone wants that, and they feel like it's a good value buy.
Having said that, Level 3 is a completely different game, especially when people think about Level 3, I think people are already remotely thinking about Level 4. Maybe I'll talk about Level 4 just to give people some ideas on how I think we should think about the problem. Again, we think about value creation. What is value creation? For cars, other than safety, the value creation is the time the machine gives back to us, right? And if you buy a Level 2 car, at most, it gives you an hour or 2, a day back to you, right? But for Level 2, it doesn't even quite give it back to you. They ask you to have your hands on the steering wheel. So that's why it's great as a life-saving device, but it's of limited value.
If you look at Level 4 or aka robotaxi, you are literally looking at maybe 20 hours per day of the utilization of such a product. By the way, I quote this from one of the great leaders of the industry who isn't a big fan of Hesai. It's from Elon Musk. He said that, which I agree that the change for such a level will allow the utilization of the machine to be maybe 10x. And if you think about it, if you're creating something that has potential to have a 10x of the traditional value, you naturally are able to afford much better sensors, much better driving system, computation and everything, so that you can be the best in creating such a product. So that's the way I look at Level 3 and especially Level 4.
And the total dollar amount on a car, maybe not 10x, but people's tolerance is much higher because it's creating roughly 10x of the value, if not more, comparing to the Level 2 system we used to be on. And that's why people should be more excited about the total content and the value create as a complete sensor suite.
Your next question comes from Jesse Lo from Bank of America Securities.
Sorry, Operator, hold on for one second. Let me finish Jeff's second question regarding some additional color on our 2025 full year guidance.
Jeff, as we said in the script, we are very confident that our full year numbers will fall in the range, but I'm not assuring that -- assuring you that we will reach the high end of the range. So let's take the low end of the range, for example. We are basically guiding that our Q4 revenue will be above RMB 1 billion, comparing to roughly 800 million in Q3. If that achieves the additional net profit comparing to Q3 will be roughly RMB 80 million pretax.
If you look at our first 9 months results in this year, our total or accumulated net income is about 256 -- sorry, it's USD 283 million. As we mentioned in the earnings release, we actually have a one-off investment gain from an equity investment, which is roughly RMB 150 million. So if we exclude that, our normalized first 3 quarters earnings is roughly RMB 130 million, so if we add another RMB 180 million to that, it already adds up to more than RMB 350 million net income in year 2025. So that's why we are relatively confident that our full year revenue and profit will fall in the range that we just mentioned.
Okay. Operator, let's move on to the questions from BofA.
My question is on -- could you share some color on BYD's 2026 LiDAR order given that it is quite a debatable topic, more specifically on the timing of the LiDAR adoption on this mass market model and also the Hesai's wallet share? And second, how do we think about the pricing strategy of such customer given its much higher vehicle sales?
Okay. We are pleased to see the leading domestic automakers actively accelerating their efforts to make intelligent driving mainstream. Their commitment exemplified by BYD's move to equip its models priced above RMB 100,000 with LiDAR and deployed its God's Eye ADAS systems. This creates massive market demand and accelerates consumer adoption, which benefits the entire ecosystem and raises awareness across the industry and consumers.
With this trend, we are proud to be a key partner of BYD. We have gone into mass production with BYD since Q1 2025 and are supplying LiDARs for BYD's models launching in year 2025. This year, we are taking a strong share of BYD's LiDAR supply with our AT128P and ATX, with ATX leading in volume. Our partnership extends across double-digit vehicle models with an exciting wave of new SOPs rolling out through year 2025 and 2026. We will share more details on this customer, their new models and autonomous driving plans once they are ready to make an official announcement.
Compared to automakers, Hesai has been investing in LiDAR R&D for 10 years, starting with more complex L4 applications. This has enabled us to accumulate extensive experiences and achieve superior product performances. Meanwhile, by leveraging our years of investments in ASIC technology, we have achieved excellent cost control while maximizing economies of scale through a broad customer base. We believe proactive collaboration between automakers and LiDAR companies helps create a win-win situation.
In summary, Hesai serves as an index to the overall autonomous driving industry, and we are excited to see BYD leading the way in making intelligent driving more accessible while strengthening our partnership with them.
Your next question comes from Aaron Wang from Jefferies.
My question is about Robotics side. Given the increasing demand in robotic area in the coming years, could management share more color on our robotic shipments in 2026 and also in the next few years, and also the proportion of different end markets and our product mix in this segment?
Our Robotics business, which generally enjoys higher ASPs and margins is contributing strongly to the company's overall financials with the growth momentum accelerating. For the robotaxi part, Hesai is the largest robotaxi LiDAR supplier in the world, holding roughly 60% to 70% market share. Our main LiDAR and blind-spot products are widely used by all the top robotaxi players in China. Companies like WeRide, Baidu, Apollo Go, DiDi, Pony and Hello have all adopted our technology. Traditionally, robotaxi operators relied on mechanical spinning LiDARs for small fleet testing and operations. But recent trends in China show an urgent need for scalability. By using our flagship ADAS LiDARs, customers can achieve a better balance of sensor prices and performances, enabling faster fleet growth and helping them move closer to profitability.
Spearheading this shift, we have recently signed new deals with WeRide, Pony and Hello Inc. Excitingly, for some of their models, up to 8 LiDAR units per vehicle, main LiDAR and blind-spot LiDARs will come entirely from Hesai. At the same time, we have signed new LiDAR supply agreements with leading global autonomous driving companies, including Motional across North America, Asia and Europe. These programs represent tens of millions of dollars in deals with strong follow-on potential as their partners scale up. The difference is that global players tend to favor high ASP mechanical spinning LiDARs for their performance and stability, making them less price sensitive.
Regardless of LiDAR type, the gross profit from our robotaxi business is calculated as fleet size times number of LiDAR per vehicle times ASP times gross margin ratio. With cost reductions and large-scale commercial deployments, we expect the fleet sizes of leading players to grow exponentially in the coming year, driving significant profit growth for Hesai, whether they use mechanical or ADAS LiDARs.
The other robotics applications beyond the robotaxi, we have seen huge opportunities in non-auto applications with intelligent robots rapidly gaining traction, our proven strength in high-performance, scalable LiDAR positions us to take the lead. Since starting production of our JT Robotics LiDAR, we shipped around 40,000 to 50,000 units every quarter in year 2025. This new product serves as a wide range of robotics applications. Home, factory and agricultural robots are clear front runners, freeing people from routine work and creating real value from day 1.
In the long run, we believe the robotics market could have a TAM several times larger than ADAS. You can only drive one car, but in the future, 10 robots could be working alongside you. We anticipate that Robotics LiDAR volume could double in year 2026 versus 2025, and we plan to share updates on developments along the way.
Your next question comes from Chunsheng Xie from Huatai Securities.
My question is about the major customers for next year. Could you please share which OEMs will be the key customers for the ADAS products? And what kind of the demand scale or volume you are expecting for the next year?
In the ADAS spaces, we are also seeing very strong momentum from a number of key OEMs. Based on our current visibility, we expect the following OEMs to be among our top ADAS customers in year 2025 and very likely in year 2026 as well. They are Li Auto, Xiaomi, BYD, Leapmotor, Zeekr and Great Wall Motor. Of course, these names are not ranked in particular orders. Meanwhile, more major customers are also kicking off SOPs with us extending into year 2026, including Geely and Chery.
These customers are rapidly advancing in intelligent driving with some of them expanding LiDAR adoption across more vehicle lines as a standard feature preparing for L3 capabilities with market LiDAR configurations. These companies are not only leading players within China's rapidly evolving smart EV sector, but also represent a diverse range of vehicle platforms from high-end to mass market vehicles, providing a rich foundation for our technology adoption and expansion.
Your next question comes from Sia Huang from SPDB International.
This is Sia. I've got just one question regarding our overseas update. And for the project with the top European OEM customer, is everything on track? And could you please also share more color about the overseas update in terms of other potential customers and design wins? And how do we expect the contributions of overseas revenue for the next 2 to 3 years?
Beyond our success and solid base in China, we are also stepping up our game internationally, both in ADAS and Robotics.
On the Robotics side, recently, we have further strengthened our leadership with new LiDAR supply deals across North America, Asia and Europe, covering everything from robotaxi, robotrucks to robovans and factory automation. For example, we are proud to be the exclusive supplier for Motional's next-generation all-electric robotaxi. And as we shared earlier, we also signed a multiyear deal worth over USD 40 million with a leading U.S. robotaxi company, with deliveries running through 2026 and room for more as their fleet grow.
In ADAS, momentum is just as strong. As you all know, we have already secured an exclusive design win with a top European OEM and several more are now in the sourcing and negotiation stage for their global programs with European players clearly setting the pace. As competition heat up, global OEMs are doubling down on autonomous driving and safety is something they are never compromised on. There is now a clear consensus across the industry that LiDAR is becoming the airbag for autonomous driving, especially for L3 and above. And once these global OEMs make up their minds, they move decisively. So give them a little time to gear up their AD versions, both ICE and EV, and we believe more LiDAR deals will follow soon.
Now for the global OEMs China JVs, things are also moving faster. They are right at the front line of the ADAS race. We have already won design win programs with five major JVs, Volkswagen, GM, Audi, Toyota and Ford and several are already in SOP. A recent highlight came in September when Audi E5 Sportback featuring Hesai LiDAR standard configuration hit the market and racked up over 10,000 orders in just 30 minutes. That's a huge commercial validation and sets the stage for global expansion ahead.
Another exciting part of our strategy is backing Chinese OEMs in their global push. We will be the LiDAR supplier for models heading overseas with mass production kicking off in year 2026. We can't share more for now, but stay tuned. Updates are on the way. All in all, these wins reflect the growing trust and recognition we have earned from customers worldwide. Looking ahead, we will keep building on our strengths and serve an even broader range of partners across regions and across industries.
Your next question comes from Lou Jia from BOCI.
Congratulations on the excellent results. My question is related to our new business initiatives. At our Hong Kong listing event, management mentioned that for the next decade, Hesai will be more than just a LiDAR company. So could you share with us more about the potential new areas beyond the LiDAR, Hesai is considering expanding into in the future?
Thank you for this, very exciting question, David, I'll probably take it. I think there are a few things that are super, super interesting and worth exploring and has a lot of potential and the extremely large TAMs that we feel like we are best positioned for. I'll go through some of the things that's on my list.
I think the first thing is still sensing itself because not only for robots and also for cars, we're -- especially for cars, we're looking at safety. And for safety, you're never satisfied just by 99% or even 99.9%. You always try to find the failed cases and you try to build a better product to make things safer. And we feel like on the sensing side alone, there are still many, many things we could do to bring safety to the next level, including a longer range, higher density and being able to recognize different materials, being able to measure speed, we're using all different working principles to help our robots and vehicles be able to sense the surroundings better. And that alone is a much bigger market than just the LiDAR TAM we see today considering the importance of such a task.
And number two is the best sensing capabilities plus AI. Today, we actually have the capability to do perception software stack, and we actually work with OEMs for that. But today, we're not directly charging them for it. It's because the value we provide is only really part of someone else's software stack. But a lot of the robotics applications, a lot of the sensor applications, we actually see the possibility of having AI capabilities on the already the best sensing hardware we built, essentially making -- number one was making the sensors see better, and number two is making the sensors think better. And that's actually happening and a lot of our software capabilities are being used on that.
And number three is along the lines of number two, when you have the software capability, AI capability on top of the best sensing capability, you are no longer being limited by cars. You're looking at a lot of opportunities in the general definition of space sensing. And I won't be able to give you more details on this little part, but we definitely see a lot of customer demand, directly from customers in being able to fully sense and capture the 3D world around us. Think about how cool would that be if you are able to record the 3D world with the product we provide, right? So those are the things.
And of course, last but not the least is we've been talking about sensing so far. But the truth is that we really did sensing because sensing was the most critical part of the physical AI 1.0 for cars. For 2.0, we're not only building the LiDAR sensors for the robots. There are just so many infrastructure technologies that we feel like we are uniquely positioned to be able to do because we're super proven and good at high-end sensing semiconductor capability, manufacturing capability, the product iteration and quality capability as a whole, and we feel like there is a very good chance we'll be able to leverage that into more infrastructure business that's beyond sensing.
And I'd like to conclude with one of the new quote, I learned from the great Mr. Jensen Huang, I think he said something like in the future, anything that moves will be autonomous. And I'd like to add to the second part that anything that is autonomously moving is likely to need the best sensing capabilities from us. Thank you.
This concludes our question-and-answer session. I'll now hand back to management for any closing remarks.
Thank you once again for joining us today. If you have any further questions, please feel free to contact our IR team. This concludes today's call, and we look forward to speaking to you again next quarter. Thank you, and goodbye.
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Abschreibungen
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EBIT (Operatives Ergebnis)
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der EBIT-Marge.
Nettogewinn
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Nettogewinn einfach erklärtaktien.guide Premium
| Mär '26 |
+/-
%
|
||
| Umsatz | 469 469 |
42 %
42 %
100 %
|
|
| - Direkte Kosten | 276 276 |
46 %
46 %
59 %
|
|
| Bruttoertrag | 193 193 |
92 %
92 %
41 %
|
|
| - Vertriebs- und Verwaltungskosten | 69 69 |
7 %
7 %
15 %
|
|
| - Forschungs- und Entwicklungskosten | 121 121 |
36 %
36 %
26 %
|
|
| EBITDA | - - |
-
-
|
|
| - Abschreibungen | - - |
-
-
|
|
| EBIT (Operatives Ergebnis) EBIT | 29 29 |
295 %
295 %
6 %
|
|
| Nettogewinn | 70 70 |
3.740 %
3.740 %
15 %
|
|
Angaben in Millionen USD.
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Firmenprofil
Die Hesai-Gruppe ist in der Entwicklung, Herstellung und dem Vertrieb von dreidimensionalen Lidar-Lösungen tätig. Das Unternehmen hat seinen Hauptsitz in Shanghai, Shanghai und beschäftigt derzeit 1.142 Vollzeitmitarbeiter. Das Unternehmen ging am 2023-02-09 an die Börse. Das Unternehmen betreibt sein Geschäft in zwei Segmenten: LiDAR-Segment und Gasdetektionssegment. Zu den Produkten des Unternehmens gehören die AT-Serie, FT-Serie, Pandar-Serie und Methan-Telemeter. Die Produkte des Unternehmens finden breite Anwendung in Personenkraftwagen und Nutzfahrzeugen, die fortschrittliche Fahrerassistenzsysteme (ADAS) unterstützen, sowie in autonomen Fahrzeugen. Das Unternehmen ist sowohl im Inland als auch in Übersee tätig.
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| Hauptsitz | China |
| CEO | Dr. Li |
| Mitarbeiter | 1.118 |
| Webseite | www.hesaitech.com |


