AI - Fundamentals, Financials, History, and Analysis
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Business Overview and History

C3.ai, Inc. (AI) is a leading enterprise AI software company that has been at the forefront of revolutionizing the way businesses leverage artificial intelligence to drive transformative outcomes. Founded in 2009 by visionary entrepreneur Thomas M. Siebel, C3.ai has rapidly established itself as a dominant player in the rapidly growing enterprise AI market.

C3.ai was established in January 2009 with the goal of developing and marketing software platforms and products that would enable companies to harness the power of elastic cloud computing, big data, IoT, and predictive analytics. In 2010, the company released its first product, C3 Energy Management, which focused on energy management solutions. Over the next few years, C3.ai expanded its offerings and client base, securing large agreements with global industrial, chemical, utility, and high-tech companies.

In 2012, C3.ai engaged McKinsey & Company to conduct a strategic review, which recommended that the company expand its focus to the utility industry and offer a family of predictive analytics solutions for the power grid infrastructure. Adopting these recommendations, C3.ai rebranded as C3 Energy in 2012 and began offering a range of products for the utility value chain, from power generation to transmission, distribution, and consumption. The company also formed a data science division to develop and apply techniques like machine learning and supervised/unsupervised learning to its applications.

By 2016, C3.ai was seeing increasing demand from manufacturing, financial services, oil and gas, and defense customers to deploy its AI applications beyond the energy sector. The company rebranded again, this time to C3 IoT, to reflect its expanding market focus. Over the next two years, C3 IoT tailored its core applications for these new industries and introduced the concept of 4-16 week product trials to facilitate customer acquisition.

In 2019, as the market perception of IoT shifted away from the applications and more towards the devices themselves, the company rebranded once more to C3.ai to better communicate its focus on enterprise AI software solutions. Under the C3.ai name, the company continued to expand its portfolio of over 100 AI applications across multiple verticals, while also investing in developing its C3 Generative AI and C3 Agentic AI capabilities.

Product Portfolio

C3.ai's product portfolio consists of three main offerings:

1. C3 AI Platform: An end-to-end platform for developing, deploying, and operating enterprise AI applications. It provides a comprehensive application development and runtime environment designed to allow customers to rapidly design, develop, and deploy enterprise AI applications. The C3 AI Platform simplifies and accelerates enterprise AI application development, deployment, and administration.

2. C3 AI Applications: A portfolio of pre-built, extensible, industry-specific and application-specific enterprise AI applications that can be rapidly installed and deployed. These applications leverage the C3 AI Platform and address a variety of use cases across different industries, such as energy management, predictive maintenance, fraud detection, and inventory optimization.

3. C3 Generative AI: This offering combines the utility of large language models, generative AI, reinforcement learning, natural language processing, and the C3 AI Platform to rapidly locate, retrieve, and present information from disparate data stores, applications, and enterprise information systems. C3 Generative AI offers domain-specific generative AI solutions for the enterprise, addressing needs in areas like operator assistance, intelligence analysis, complex documentation drafting, and customer service.

Financial Performance and Outlook

C3.ai has demonstrated impressive financial growth in recent years, with revenue increasing from $183.2 million in fiscal year 2021 to $310.6 million in fiscal year 2024, representing a compound annual growth rate (CAGR) of 19.3%. However, the company has also faced challenges in maintaining profitability, reporting net losses of $55.7 million, $268.8 million, and $279.7 million in fiscal years 2021, 2023, and 2024, respectively.

The company's subscription revenue, which accounted for 88% of total revenue in fiscal year 2024, has been a key driver of growth, increasing at a CAGR of 21.2% from fiscal year 2021 to 2024. This reflects the strong demand for C3.ai's enterprise AI software solutions and the company's successful transition to a subscription-based business model.

For the three months ended January 31, 2025 (Q3 FY2025), C3.ai reported total revenue of $98.8 million, up 26% compared to the same period last year. Subscription revenue, which accounted for 87% of total revenue, grew 22% year-over-year to $85.7 million. Professional services revenue increased by 64% to $13.1 million, driven by an increase in consulting projects and prioritized engineering services.

The company's gross profit for Q3 FY2025 was $58.4 million, with a gross margin of 59%. Operating expenses increased by 14% to $145.9 million, primarily due to higher spending on sales and marketing, research and development, and general and administrative activities to support the growth of the business.

C3.ai continued to invest in its research and development efforts, with R&D expenses reaching $59.4 million, or 60% of total revenue, in Q3 FY2025. These investments have been focused on enhancing the company's existing C3 AI Software and expanding its product offerings, particularly in the area of generative AI.

In terms of geographic performance, C3.ai has historically derived the majority of its revenue from North America, which accounted for 87% of total revenue in fiscal year 2024 and 86% in Q3 FY2025. The company has been actively expanding its international presence, with revenue from Europe, the Middle East, and Africa (EMEA) and Asia-Pacific (APAC) regions growing to 13% and 14% of total revenue in fiscal year 2024 and Q3 FY2025, respectively.

Financial Metrics and Guidance

For the most recent fiscal year (2024), C3.ai reported: - Revenue: $310.6 million - Net Income: -$279.7 million - Operating Cash Flow: -$62.4 million - Free Cash Flow: -$90.4 million

For Q3 FY2025, the company reported: - Revenue: $98.8 million, up 26% year-over-year - Net Income: -$80.2 million - Non-GAAP operating loss: $23.1 million, better than the guidance of $38.6 million to $46.6 million

Looking ahead, C3.ai has provided the following guidance:

For Q4 FY2025: - Revenue: $103.6 million to $113.6 million - Non-GAAP loss from operations: $30 million to $40 million

For the full fiscal year 2025: - Revenue: $383.9 million to $393.9 million, representing a year-over-year increase of 23% to 27% - Non-GAAP loss from operations: $87 million to $97 million

Liquidity and Financial Position

As of January 31, 2025, C3.ai reported cash and cash equivalents of $707.4 million, along with short-term investments of $381.2 million. This strong liquidity position provides the company with ample resources to fund its ongoing operations, invest in research and development, and pursue strategic growth initiatives.

Additional financial metrics as of Q3 FY2025 include: - Debt/Equity ratio: 0.004 - Current ratio: 6.74 - Quick ratio: 6.74

The company has no outstanding debt and significant cash reserves to fund operations, indicating a strong financial position despite ongoing operational losses.

Competitive Landscape and Risks

C3.ai operates in a highly competitive enterprise software market, facing competition from a diverse array of players, including internal IT organizations, commercial enterprise and point solution providers, open-source software providers, public cloud providers, and legacy data management product providers. Key competitors include Microsoft, Amazon Web Services, Google Cloud, and IBM, among others.

To maintain its competitive edge, C3.ai must continually innovate and enhance its product offerings to meet the evolving needs of its customers. The company's ability to attract and retain top talent, particularly in the areas of AI, data science, and software engineering, is also critical to its success.

Furthermore, C3.ai is subject to various risks, including the potential for regulatory changes in data privacy and security, the impact of macroeconomic conditions on customer demand, and the ability to effectively integrate and scale its partnerships with leading technology providers and systems integrators.

In March 2022, the company was sued in a securities class action lawsuit alleging misstatements about its partnership with Baker Hughes and other strategic alliances. Additionally, in February 2025, CEO Thomas Siebel disclosed that he was diagnosed with an autoimmune disease affecting his vision, but stated he remains actively involved in managing the business.

Industry Trends and Market Opportunity

The market for enterprise AI software is large and rapidly growing. Industry analysts estimate the global AI software market will reach $297.9 billion by 2027, growing at a CAGR of 19.1% over the next 5 years. Generative AI and agentic AI are emerging as key areas of innovation and customer demand, positioning C3.ai well to capitalize on these trends.

Conclusion

C3.ai has established itself as a pioneering force in the enterprise AI market, leveraging its innovative technology, deep industry expertise, and strategic partnerships to deliver transformative solutions to a growing customer base. While the company has faced profitability challenges, its impressive revenue growth, expanding international footprint, and robust product pipeline position it well to capitalize on the continued rise of enterprise AI adoption.

The company's strong liquidity position and ongoing investments in research and development, particularly in areas like generative AI, demonstrate its commitment to maintaining its competitive edge in the rapidly evolving AI software market. As C3.ai navigates the competitive landscape and addresses its operational and financial hurdles, the company's long-term potential to shape the future of enterprise software remains promising, albeit with the need to carefully manage its path to profitability and address ongoing legal and leadership challenges.

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