C3.ai (AI) Telefonkonferenz zum 1. Quartal des Geschäftsjahres 2027: Staatliche Auftragseingänge steigen kräftig, Kosten sinken
C3.ai hat im ersten Quartal des Geschäftsjahres 2027 einen Umsatz von 52,4 Millionen US-Dollar und einen positiven Free Cashflow von 2,1 Millionen US-Dollar erzielt. Dank einer umfassenden Umstrukturierung wurden die jährlichen Kosten um rund 135 Millionen US-Dollar gesenkt und der Personalbestand um 40 % reduziert. Das US-Behördengeschäft erwies sich mit einem Auftragswachstum von 138 % als wesentlicher Treiber. Für das gesamte Geschäftsjahr 2027 bestätigt das Management die Umsatzprognose von 210 bis 240 Millionen US-Dollar. Der Fokus liegt künftig auf der Plattformstrategie, dem Produkt C3.ai Code sowie konsequentem sequenziellen Wachstum und Non-GAAP-Profitabilität.
Die Telefonkonferenz von C3.ai zum 1. Quartal des Geschäftsjahres 2027 konzentrierte sich auf erste Fortschritte bei der Neuausrichtung, erhebliche Kostensenkungen und stärkere Auftragseingänge im US-Behördengeschäft. Der Umsatz lag bei 52,4 Millionen US-Dollar, während der Free Cashflow mit 2,1 Millionen US-Dollar ins Plus drehte.
Wichtigste Erkenntnisse
- Der Umsatz im 1. Quartal des Geschäftsjahres 2027 betrug 52,4 Millionen US-Dollar. Die Abonnementsumsätze trugen 49,2 Millionen US-Dollar bzw. 94 % zum Gesamtumsatz bei.
- Die Auftragseingänge stiegen um 73 %, während die Auftragseingänge von US-Behörden im Jahresvergleich um 138 % zulegten. C3.ai schloss im Laufe des Quartals 22 Unternehmenskundenverträge ab.
- Der operative Verlust auf Non-GAAP-Basis lag bei 36,2 Millionen US-Dollar und war damit um 8,3 Millionen US-Dollar besser als der Mittelwert der Prognose des Managements.
- Der Free Cashflow verbesserte sich auf plus 2,1 Millionen US-Dollar, verglichen mit minus 34,3 Millionen US-Dollar im Vorjahreszeitraum und minus 54,8 Millionen US-Dollar im Vorquartal.
- C3.ai erzielte auf das Jahr hochgerechnete Kosteneinsparungen von rund 135 Millionen US-Dollar, einschließlich eines Stellenabbaus von etwa 40 % im gesamten Unternehmen.
- Das Management hielt an seiner Umsatzprognose für das Geschäftsjahr 2027 von 210 Millionen bis 240 Millionen US-Dollar fest und hob ein beständiges Wachstum gegenüber dem Vorquartal, einen positiven Free Cashflow sowie Profitabilität auf Non-GAAP-Basis als wesentliche Kernziele hervor.
Wichtigste Finanzdaten
| Kennzahl | Ergebnis Q1 Geschäftsjahr 2027 | Veränderung bzw. Kontext |
|---|---|---|
| Gesamtumsatz | 52,4 Mio. US-Dollar | Die Umsätze aus Subskriptionen und PES machten 97 % des Gesamtumsatzes aus |
| Subskriptionsumsatz | 49,2 Mio. US-Dollar | 94 % des Gesamtumsatzes |
| Umsätze aus Professional Services | 3,2 Mio. US-Dollar | Enthielt 1,8 Mio. US-Dollar an Umsätzen aus priorisierten Engineering-Dienstleistungen |
| Non-GAAP-Bruttoergebnis | 26,1 Mio. US-Dollar | — |
| Non-GAAP-Bruttomarge | 50 % | Anstieg gegenüber dem Vorquartal von 37 %, im Wesentlichen bedingt durch Kostensenkungen |
| Operativer Verlust (Non-GAAP) | 36,2 Mio. US-Dollar | 8,3 Mio. US-Dollar besser als der Mittelwert der Prognose |
| Nettoverlust (Non-GAAP) | 30,7 Mio. US-Dollar | Verlust von 0,20 US-Dollar pro Aktie |
| Betriebsausgaben (Non-GAAP) | 88,5 Mio. US-Dollar | Rückgang um fast 40 Mio. US-Dollar im Jahresvergleich und um mehr als 17 Mio. US-Dollar gegenüber dem Vorquartal |
| Free Cashflow | 2,1 Mio. US-Dollar | Gegenüber minus 34,3 Mio. US-Dollar im Vorjahr und minus 54,8 Mio. US-Dollar im Vorquartal |
| Zahlungsmittel, Zahlungsmitteläquivalente und Wertpapiere des Umlaufvermögens | 651,1 Mio. US-Dollar | Stand am Quartalsende |
Geschäftliche und operative Entwicklung
CEO Thomas Siebel erklärte, dass C3.ai in den ersten drei Monaten der Umstrukturierung seine Vertriebs-, Produkt- und Service-Organisationen neu aufgestellt habe. Das Unternehmen habe zudem seine Kostenstruktur neu ausgerichtet sowie eine striktere Kundenbetreuung, Pipeline-Entwicklung und operative Überprüfungen eingeführt.
C3.ai unterzeichnete 22 Unternehmenskundenverträge, darunter Vereinbarungen mit Heidelberg Materials, Johnson & Johnson, Ford Motor Company, C-SPAN, Holcim, dem US-Verteidigungsministerium, der Defense Logistics Agency und dem US-Landwirtschaftsministerium.
Das Behördengeschäft erwies sich als wesentlicher Wachstumstreiber, wobei die Auftragseingänge im Vergleich zum Vorjahr um 138 % stiegen. Das Management gab an, dass die Pipeline im Behördenbereich weiterhin stark sei, gestützt sowohl durch die Ablösung von Wettbewerbsprodukten als auch durch Neuprojekte („Greenfield“), insbesondere in den Bereichen Verteidigung und Nachrichtendienste.
Das Unternehmen konzentriert seine Produktstrategie auf die C3.ai Agentic AI Platform, C3.ai Generative AI, C3.ai Studio und C3.ai Code. Das Management beschrieb C3.ai Code als ein zentrales künftiges Wachstumsprodukt, mit dem KI-Anwendungen für Unternehmen direkt aus Texteingaben in natürlicher Sprache ohne manuelle Programmierung erstellt werden können.
Zudem geht das Unternehmen zu einem umfassenderen Plattformmodell über. Bestehende KI-Anwendungen für Unternehmen wurden in wiederverwendbare, in die Plattform integrierte Komponenten unterteilt, sodass Kunden Anwendungen nach Bedarf zusammenstellen können.
Das Management verwies auf eine Studie von Forrester Research, in der C3.ai in Kategorien wie Datenmodellierung, Agentenentwicklung, Anwendungsentwicklungstools, Governance-Kontrollen, Plattformverwaltung und Sicherheitszertifizierung den ersten Platz belegte.
Prognose des Managements
| Prognosekennzahl | Ausblick |
|---|---|
| Umsatz Q2 Geschäftsjahr 2027 | 51 Mio. bis 55 Mio. US-Dollar |
| Operativer Verlust (Non-GAAP) Q2 Geschäftsjahr 2027 | 34,5 Mio. bis 42,5 Mio. US-Dollar |
| Umsatz Geschäftsjahr 2027 | 210 Mio. bis 240 Mio. US-Dollar |
| Operativer Verlust (Non-GAAP) Geschäftsjahr 2027 | 123 Mio. bis 155 Mio. US-Dollar |
Das Management rechnet damit, dass sich die Non-GAAP-Bruttomarge im 2. Quartal des Geschäftsjahres im mittleren 40-%-Bereich einpendeln wird, da C3.ai gezielte Investitionen im Entwicklungsbereich tätigt.
Für den Rest des Geschäftsjahres 2027 geht das Management davon aus, dass der Free Cashflow im Wesentlichen im Rahmen der Prognosespanne für den operativen Verlust auf Non-GAAP-Basis liegen wird. Ein Teil der Einsparungen aus der Umstrukturierung dürfte ab der zweiten Hälfte des Geschäftsjahres 2027 voll zum Tragen kommen.
Risiken und wichtige Beobachtungspunkte
Die operative Umsetzung bleibt das zentrale Thema beim Turnaround von C3.ai. Siebel erklärte, dass die bisherige Unterleistung des Unternehmens eher auf die Umsetzung als auf seine Produkte, die Marktchancen oder die Bilanz zurückzuführen sei.
Das obere Ende der Jahresumsatzspanne zu erreichen, würde eine erhebliche Beschleunigung erfordern. Das Management gab an, sein Hauptaugenmerk darauf zu richten, die notwendige Pipeline und Vertriebsorganisation aufzubauen, um ab dem 3. Quartal des Geschäftsjahres ein konstantes Umsatzwachstum gegenüber dem Vorquartal zu erzielen, anstatt gezielt das obere Ende der Prognosespanne anzustreben.
Kurzfristige Investitionen in die Entwicklung dürften die Bruttomarge im 2. Quartal des Geschäftsjahres von 50 % auf den mittleren 40-%-Bereich reduzieren. C3.ai plant, verstärkt in Ingenieure vor Ort („Forward-Deployed Engineers“) zu investieren, um bestehende Kunden zu unterstützen, obwohl das Management davon ausgeht, dass C3.ai Code diesen Ressourcenbedarf mittel- bis langfristig verringern wird.
Die Umstrukturierung ist nahezu abgeschlossen, jedoch erfordert ihr Umfang – einschließlich eines Belegschaftsabbaus von rund 40 % – weiterhin eine disziplinierte Umsetzung in den Bereichen Vertrieb, Produkte und Services.
Highlights der Analysten-Fragerunde
- Chancen im Behördengeschäft: Das Management erklärte, dass zu den Möglichkeiten sowohl die Ablösung eines großen etablierten Anbieters als auch der Wettbewerb um Neuprojekte gehören. Einen Teil der Pipeline führte es auf die Unzufriedenheit der Kunden mit den Produkten und Geschäftspraktiken des etablierten Anbieters zurück.
- Einsatz von Ingenieuren vor Ort: C3.ai wird die kurzfristigen Investitionen in die Bereitstellungsunterstützung erhöhen, um bestehenden Kunden beim Erreichen der erwarteten Renditen zu helfen. Das Management ist überzeugt, dass die Automatisierung durch C3.ai Code einen Teil dieses Personalbedarfs im Laufe der Zeit ausgleichen kann.
- Markteinführung von C3.ai Code: Das Produkt befindet sich noch in der Frühphase der Vermarktung. Laut Management können Kunden mit kleineren Projekten beginnen und diese im Laufe der Zeit erweitern, anstatt vorab eine Investition in Millionenhöhe tätigen zu müssen.
- Plattformstrategie: Das Management bestätigte, dass C3.ai zu einem stärker plattformorientierten Modell übergeht, bei dem wiederverwendbare Komponenten zu Anwendungen wie vorausschauender Wartung, Nachfrageprognose und Lieferkettenoptimierung zusammengestellt werden können.
- Wachstumsprioritäten: Das Management räumt einem nachhaltigen sequenziellen Umsatzwachstum, dem Free Cashflow und einer schlussendlichen Profitabilität auf Non-GAAP-Basis Vorrang ein gegenüber dem Ziel, das obere Ende der Prognose für das Geschäftsjahr 2027 um jeden Preis zu erreichen.
Vollständiges Transkript der Telefonkonferenz
Vollständiges Transkript der Telefonkonferenz
Ausführungen des Managements
Operator
Good day and thank you for standing by. Welcome to the C3.ai Fiscal First Quarter 2027 Earnings Call. [Operator Instructions] Please be advised that today's conference is being recorded. And now I'd like to hand the call over to today's host, Amit Berry. Please go ahead.
Amit Berry
Good afternoon and welcome to C3.ai's earnings call for the first quarter of fiscal year 2027, which ended on July 31, 2026. My name is Amit Berry and I lead Investor Relations at C3.ai. With me on the call today are Thomas Siebel, Chief Executive Officer, and Hitesh Lath, Chief Financial Officer.
After the market closed today, we issued a press release with details regarding our first quarter results, which can be accessed through the Investor Relations section on our website at ir.c3.ai. This call is being webcast, and a replay will be available on our IR website following the conclusion of the call.
During today's call, we will make statements related to our business that may be considered forward-looking under federal securities laws. These statements reflect our views only as of today and should not be considered representative of our views as of any subsequent date. We disclaim any obligation to update forward-looking statements or outlook.
These statements are subject to a variety of risks and uncertainties that could cause actual results to differ materially from expectations. For a further discussion of the material risks and other important factors that could affect our actual results, please refer to our filings with the SEC. All figures will be discussed on a non-GAAP basis unless otherwise noted.
Also, during today's call, we will refer to certain non-GAAP financial measures. A reconciliation of GAAP to non-GAAP financial measures to the extent reasonably available is included in our press release. Finally, at times in our prepared remarks, in response to your questions, we may discuss metrics that are incremental to our usual presentation to give greater insight into the dynamics of our business or our quarterly results. We advise that we may or may not continue to provide this additional detail in the future.
And with that, let me turn the call over to Tom.
Thomas Siebel
Good afternoon, everyone, and thank you for joining us. Three months ago, I returned as Chief Executive Officer with a mandate to turn this company around. I returned as CEO because the company was candidly underperforming despite every advantage. The product offerings are exceptional. The market is huge and rapidly growing and the balance sheet is rock solid. None of that was the problem. The problem was execution. And 1 quarter into the turnaround, I believe the company is on track.
In the past 3 months, we have restored fundamental management discipline to this business. We completely restructured the company. We restructured sales. We restructured products. We restructured services. We reset the cost structure, driving massive costs out of the business and implemented rigorous cost controls. We reinstated the fundamental management practices necessary to run a business, clear ownership, hard deadlines, weekly reviews.
We rebuilt the selling motion around disciplined account management and pipeline development rather than heroics. We now have experienced executives in charge of every aspect of the business in sales, products and services, and finance and legal. This is the leadership team that will execute the turnaround. We refocused the product offerings on our Agentic AI stack, our greatest technical strength, and the largest and most rapidly growing segment of the market.
And this quarter showed meaningful progress. We came in guidance, bookings grew at 73%, and we took real costs out of the business to narrow our operating loss and generate free cash flow in the quarter. We closed 22 enterprise agreements in the quarter, including with Heidelberg Materials, Johnson & Johnson, Ford Motor Company, C-SPAN, Holcim, the U.S. Department of Defense, the Defense Logistics Agency, and the U.S. Department of Agriculture. Federal business was particularly strong, with federal bookings growing 138% year over year. These results are early evidence that the turnaround is taking hold.
The C3.ai Agentic AI platform remains the starting point of every sales engagement. It reflects over 15 years of software development in which we invested in excess of $3 billion. Last month, Forrester Research released a very significant study in which they evaluated the strengths of all the AI platform providers. And in that evaluation, they ranked C3.ai at the top of the stack.
Forrester ranked the C3.ai platform #1 in data modeling, #1 in agent development, #1 in application development tools, #1 in cohesivity, experience, #1 in governance controls, #1 in platform management, #1 in security certification, and #1 in supporting services and offerings. Other companies evaluated in the study include a who's who in software, Palantir, Google, Databricks, and 11 others. So this study is a pretty significant benchmark and really a hallmark of the technology of achievement of C3.ai in the marketplace over the last 15 years.
Our primary offerings today include the C3.ai Agentic AI Platform, C3.ai Generative AI, C3.ai Studio, and more broadly, importantly, C3.ai Code. The C3.ai Studio is our control plane for developing and operating large-scale enterprise AI applications. And C3.ai Code is our Agentic AI application builder that turns a natural language prompt into a working enterprise AI application in minutes to hours.
C3.ai Code will be at the vanguard of our growth engine going forward. This product is absolutely remarkable, and I encourage you to go onto the web, take a look at it, and take it for a try. As an example of the power of C3.ai Code, you can take a 1-hour RFP or you can take a 6-inch thick product specification. You can provide it to C3.ai Code. It assembles the data. It does the data aggregation. It autonomously builds the ontology. It develops the pipeline.
It builds machine learning models. It designs the user interface, and it autonomously delivers a working enterprise AI application without writing 1 line of manual code. This is really remarkable and you have to see it to believe it. C3.ai Code, broader platform adoption, federal systems growth, and sales discipline. At the heart of our growth engine going forward.
In closing, let me be clear about where we are going. Our priorities are clear. They are measured. The turnaround is on track. We have a well-designed plan, and this is all about execution. Return the company to quarter-over-quarter consistent revenue growth. Attain free cash flow from operations, and reach non-GAAP profitability.
Every objective in this company ties to those goals every day, every week, every month. We're not going to ask the market to underwrite a story. Our plan is to deliver results quickly, quarter over quarter, and let those results speak for themselves. And with that, let me turn the call over to Hitesh Lath to talk about the specific financial results of the quarter.
Hitesh Lath
Thank you, Tom. Total revenue for the quarter was $52.4 million. Subscription revenue was $49.2 million, representing 94% of total revenue. Professional services revenue was $3.2 million, of which $1.8 million was revenue from prioritized engineering services, or PES. Our subscription and PES revenue combined was $50.9 million and accounted for 97% of total revenue. Non-GAAP gross profit for the quarter was $26.1 million and non-GAAP gross margin improved sequentially from 37% last quarter to 50%, primarily due to cost reduction actions we've taken over the last few months.
Next quarter, as we make selective investments in engineering organization, we expect a non-GAAP gross margin to moderate to mid-40s. Non-GAAP operating loss for the quarter was $36.2 million. This was $8.3 million better than the midpoint of our guidance. Non-GAAP net loss for the quarter improved to $30.7 million and 20 cents per share. Our non-GAAP expenses for the quarter were $88.5 million. This reflects a reduction of almost $40 million as compared to the actual non-GAAP expenses of $128.1 million same quarter last year, and a reduction of over $17 million as compared to the last quarter.
Free cash flow for the quarter was positive $2.1 million as compared to negative $34.3 million same quarter last year and negative $54.8 million last quarter. This was due to a significant reduction in our quarterly cash expenses as well as strong collections. We continue to be very well capitalized and close the quarter with $651.1 million in cash, cash equivalents, and marketable securities.
Quick update on our restructuring plan. Our restructuring is almost complete and we have been able to achieve annualized cost savings of approximately $135 million across our business. This includes cost savings from approximately 40% headcount reduction across all organizations, as well as from reduction in non-employee expenses. As we said on the last quarter's earnings call, some of the cost savings will be fully realized starting with the second half of fiscal year 2027.
With a substantially improved cost structure, reorganized and focused sales services and products organizations, we are well positioned to achieve revenue growth, materially improve our operating efficiency and free cash flow, and position the company for long-term success. Now, I'll move on to our guidance for second quarter and fiscal year 2027.
Our revenue guidance for second quarter of fiscal year 2027 is $51 million to $55 million. Our guidance for non-GAAP loss from operations for second quarter is $34.5 million to $42.5 million. Our revenue guidance for fiscal year 2027 is $210 million to $240 million. Our guidance for non-GAAP loss from operations for fiscal year 2027 is $123 million to $155 million. For the remainder of fiscal year 2027, we expect our free cash flow to broadly align with a guidance range for non-GAAP loss from operations. Now I'd like to turn the call over to the operator to begin the Q&A session.
Operator
Certainly. Our first question for today comes from the line of Patrick Walravens from Citizens. Your question please.
Fragen und Antworten
Patrick Walravens
Tom, congratulations on the beginning of the turnaround here. With federal up 138%, I think I have to start with that, which is, what was sort of the biggest thing that you won? How did you win it? And what does the pipeline look like for more things like that in federal?
Thomas Siebel
The pipeline in federal looks very good and I would say there's an incumbent there that has a large market share with very high levels of dissatisfaction, both with their product and their business practices. So a lot of that dissatisfaction is spinning off now in opportunities for us. So, in addition, I mean, you know, the government's spending a lot of money on these types of technologies, particularly in the intelligence and the defense sectors.
I think the defense budget's about to go from $1 billion to $1.5 billion like this month, and our next month, so there's, I'm sorry, $1 trillion to $1.5 trillion. Thank you. So there are a lot of spending there, and we're getting a lot of traction. Thank you.
Patrick Walravens
Great, and then as a follow-up, Tom and Hitesh, you mentioned this in your remarks too. So you're going to invest more in a forward-deployed engineering organization. What does that mean for C3.ai? And did you have forward-deployed engineers before? And if not, what are you doing differently here?
Thomas Siebel
We've always had forward-deployed engineers, I think going back to about 2014, I could be wrong by a year or 2. We've always had that function. And we need to be absolutely sure that each and every 1 of our satisfied customers are achieving what they need to achieve. And so we're going to increase our investment in people to help them with these deployments.
And I think that investment in people is going to be offset in the medium run by this C3.ai Code product that you just have to see, where it's doing all of these data aggregation, pipeline building, machine learning development, user interface, without any programmers. It is way cool. So that's going to mitigate the need for forward-deployed engineers in the medium and long run. But in the near term, we're going to overinvest in existing customers to ensure they continue to realize the returns they're looking for.
Patrick Walravens
All right, great, thank you. We did see it by the way, we came in and did a demo and it was remarkable, that was a surprise. Six months ago, so I'm sure it's evolved a lot since then, but it was really pretty amazing. Thank you.
Operator
Our next question comes from the line of an Unknown Analyst from UBS. Your question please.
Unknown Analyst
I guess maybe just to follow up on the Fed opportunity, I'm curious how much of that opportunity is in sort of displacing incumbents like you mentioned versus sort of greenfield work? And then what gives you confidence that you can displace that incumbent or those incumbents successfully?
Thomas Siebel
Well, we've been doing it for a while and I think it accelerated last quarter. I think they're a fine company, they make a good product, but you know, there's people who want to replace them and that creates an opportunity for us, I'd say. And then there's, you know, lots of greenfield opportunity where we, you know, compete with them and win. So that federal just has been and remains a really good business sector for us.
Unknown Analyst
Got it. And just 1 quick follow-up. If we think about the high end of the full year guide does imply a pretty steep acceleration if you hit that. And I guess like my question is fundamentally what needs to happen, what needs to go right for you to hit that high end of the guide? And I guess like what gives you, you know, what gives you confidence that could happen?
Thomas Siebel
You know, I'll be honest with you. I'm less interested in hitting the high end of that guide that I am making sure that we built the pipeline and we have the sales organization in place to demonstrate consistent quarter-over-quarter revenue growth, you know, from, you know, Q3 on into perpetuity.
And I think that if we're able to demonstrate consistent revenue growth, if we ever get to the point where we're running free cash flow operations and get the company to non-GAAP profitability, I think it's highly likely this company will not be trading at a revenue multiple of like 3.5x, it'll be trading at a revenue multiple of 10x, 15x, 20x, or 25x, and I think that will bode well for our investors.
Operator
Thank you. Our next question comes from the line of Michael Latimore from Northland Capital Markets. Your question, please.
Mike Latimore
Yes, the C3.ai Code obviously sounds really interesting. Is that a meaningful part of the pipeline? Are you still kind of in early stages of marketing that?
Thomas Siebel
Honestly, Mike, we're in the early stages of marketing that, but hold on to your socks because it doesn't have to be a multi-million dollar acquisition. And so people could start small and then grow and grow. The initial customers who are using it just love it.
And I used it here to replace a pretty substantial piece of enterprise software that we have in place that will remain unnamed. And these guys, and we pay a lot of money for this application. It's in the kind of HR management space. And these guys built an application in 1 day that replaces an enterprise application in 1 day. I mean, it's unbelievable.
Mike Latimore
Yes, that was great. And I mean, in the past, you've sort of promoted selling enterprise AI applications. It feels like you're maybe moving more towards a little bit of a platform strategy here, or is that the wrong interpretation?
Thomas Siebel
I think you nailed it, Mike, and we weren't that explicit about it. So in the past, we have sold the AI platform, and then we have used the AI platform to build enterprise AI applications, which are kind of big applications that do things like predictive maintenance or demand forecasting or fraud detection or supply chain optimization.
Going forward, all these applications have been broken down into their atomic particles. And atomic particles are, if you will, are embedded in the AI platform. And if you want to build 1 of these applications for predictive maintenance for aircraft or process optimization in oil refining, whatever it might be, you could assemble those atomic particles in real time that become that application.
So it's not, they're just there and there are thousands of those elements that kind of reassemble on demand either because you asked them to do it or you did it through C3.ai Code. So it is, what's going forward is a little bit different. It's a good, you know, insightful what you caught there.
Mike Latimore
Great, thanks. And then just last on customer concentration, any kind of metric you can provide there? Do you have any customer, you know, over 5% or over 10% of revenue or, you know, what are your top 10 customers or percent, anything like that?
Hitesh Lath
Yes, Mike, not a meaningful change from before. We will disclose that to the extent appropriate in our 10-Q, which will be out in a few days. I don't think there's any 1 customer.
Operator
Thank you. This does conclude the question and answer session of today's program. I'd like to hand the program back to Mr. Siebel for any further remarks.
Thomas Siebel
Thank you everybody for your time. We appreciate it and keep your eye on the ball. We're very focused here. All of these executives have their eye on the ball. I think if they continue to execute their plans as they have been, this will bode well for C3.ai investors and that's the game we're playing.
Operator
Thank you for your interest. Thank you, ladies and gentlemen, for your participation in today's conference. This does conclude the program. You may now disconnect. Good day.
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