AI.NYSEC3ai, INC

10-Q: C3.ai Reports 29% Revenue Growth in Second Quarter, Transitioning to Consumption-Based Model

Sentiment:

Quarterly Report


C3.ai's second quarter results show a 29% increase in revenue, driven by subscription growth and professional services, as the company continues its transition to a consumption-based pricing model.

Worse than expectedThe company reported a net loss of $66.0 million for the quarter, indicating that the company is not yet profitable.The transition to a consumption-based pricing model is expected to negatively impact revenue growth in the short to medium term.

Summary

  • C3.ai's revenue for the second quarter of fiscal year 2025 reached $94.3 million, a 29% increase compared to the same period last year.
  • Subscription revenue grew by 22% to $81.2 million, while professional services revenue saw a significant increase of 94% to $13.2 million.
  • The company's remaining performance obligations (RPO) stood at $260.5 million as of October 31, 2024, which includes $87.8 million of non-cancellable commitments where actual product selection and quantities of specific products or services will be determined at a later date.
  • C3.ai is transitioning from a subscription-based model to a consumption-based pricing model, which is expected to impact revenue growth in the short to medium term.
  • The company reported a net loss of $66.0 million for the quarter, compared to a net loss of $69.8 million in the same period last year.
  • The company executed 36 pilots and trials during the quarter ended October 31, 2024, the same as the prior year.

Sentiment

Score: 6

Explanation: The document presents a mixed picture. While revenue growth is strong and the company is innovating in generative AI, the continued losses and the transition to a new pricing model introduce uncertainty. The company is also facing increasing competition and is subject to various risks.

Positives

  • The company experienced strong revenue growth, with a 29% increase in total revenue and a 22% increase in subscription revenue.
  • Professional services revenue saw a significant increase of 94%, indicating strong demand for implementation and engineering services.
  • The company continues to innovate, as evidenced by the launch of C3 Generative AI and the C3 Generative AI Accelerator Program.
  • C3.ai was awarded a foundational U.S. patent for its generative AI agentic technology.
  • The company is actively expanding its market reach through strategic partnerships and a consumption-based pricing model.

Negatives

  • The company continues to operate at a loss, with a net loss of $66.0 million for the quarter.
  • The transition to a consumption-based pricing model is expected to negatively impact revenue growth in the short to medium term.
  • Remaining performance obligations (RPO) have decreased over the last two years, indicating a shift away from long-term subscription contracts.
  • The company faces intense competition and may lose market share to competitors.

Risks

  • The company has a history of losses and may not achieve or maintain profitability in the future.
  • A limited number of customers account for a substantial portion of the company's revenue, and the loss of any major customer could significantly impact results.
  • The company faces intense competition and could lose market share to competitors.
  • Sales cycles can be long and unpredictable, particularly with respect to large subscriptions.
  • The company's business is subject to stringent and evolving data privacy and security laws and regulations.
  • The company's information technology systems or data, or those of third parties with whom they work, could be compromised.
  • Issues raised by the use of AI, including ML, in the C3 AI Platform may result in reputational harm or liability.
  • Macroeconomic uncertainties could have an adverse impact on the company's business and operations.

Future Outlook

The company expects to continue investing in generative AI and expanding its market reach through strategic partnerships and a consumption-based pricing model. The transition to a consumption-based pricing model is expected to impact revenue growth in the short to medium term. The company anticipates research and development spend as a percent of total revenue to decline over the longer term.

Management Comments

  • C3 AI was well ahead of its time in predicting the scale of the opportunity in enterprise AI applications.
  • We began when the market was nascent, and as the market has developed and expanded, we have expanded our branding and our market offerings to meet market expectations.
  • We believe the transition from a primarily subscription-based pricing model to a consumption-based pricing model brought us in line with industry-standard cloud software pricing standards, making it easier and less costly for new customers to initially acquire our solutions and then increase their spending if their usage and adoption increased.

Industry Context

The company is operating in a rapidly evolving market for AI-enabled digital transformation. The shift to a consumption-based pricing model aligns with industry trends in cloud software. The company's focus on generative AI positions it as a leader in the Enterprise AI space.

Comparison to Industry Standards

  • The transition to a consumption-based pricing model is a common practice among cloud software companies, such as Snowflake and Databricks, which have seen success with this approach.
  • The company's revenue growth of 29% is strong compared to some established software companies, but it is important to note that C3.ai is still in a growth phase and is not yet profitable.
  • The company's focus on large enterprise customers is similar to that of other enterprise software providers like SAP and Oracle, but C3.ai is also expanding its reach to smaller customers.
  • The company's investment in generative AI is in line with the broader industry trend of incorporating AI into various software applications, as seen with companies like Microsoft and Google.

Legal Proceedings

  • The company is involved in a securities class action lawsuit and several derivative actions related to alleged misstatements about its partnership with Baker Hughes and its salesforce.
  • The company has filed a lawsuit against Enel Global Services S.r.l. in Italy for misappropriation of trade secrets and breach of contract.

Related Party Transactions

  • The company has a sublease agreement with First Virtual Group, Inc., where Thomas M. Siebel, the company's CEO, serves as Chairman.

Stakeholder Impact

  • Shareholders may be concerned about the company's continued losses and the potential impact of the pricing model transition on revenue growth.
  • Employees may be affected by changes in the company's structure and strategy as it adapts to the new pricing model.
  • Customers may benefit from the flexibility of the consumption-based pricing model, but may also be concerned about the company's long-term financial stability.
  • Suppliers and partners may be affected by changes in the company's business strategy and financial performance.

Next Steps

  • The company will continue to invest in research and development to extend its C3 AI Software.
  • The company will continue to expand its market reach through strategic partnerships.
  • The company will continue to transition to a consumption-based pricing model.
  • The company will continue to invest in brand awareness and marketing efforts.

Key Dates

DateDescription
2009-01-08C3.ai was initially formed as a limited liability company in Delaware.
2012-06C3.ai converted to a Delaware corporation.
2020-02C3.ai entered into an agreement establishing the C3.ai Digital Transformation Institute.
2020-11-27The company's board of directors adopted the 2020 Incentive Plan and the 2020 Employee Stock Purchase Plan.
2021-08-25C3.ai entered into a new lease for office space in Redwood City, California.
2023-02-21C3.ai entered into a sublease agreement with First Virtual Group, Inc.
2024-02-27C3.ai filed a lawsuit against Enel Global Services S.r.l. in Italy.
2024-10-31End of the quarterly period for this report.

Keywords

Enterprise AI, Artificial Intelligence, Machine Learning, Generative AI, Software, Subscription, Cloud Computing, Digital Transformation, Data Analytics, SaaS

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