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1. The Oracle of the cloud.

2. Salesforce for all your company's data.

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• Data Cloud: A cloud-based platform that enables customers to consolidate data into a single source of truth to drive business insights, build data-driven applications, and share data.

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• Amazon Web Services (AWS) - Amazon.com, Inc. (AMZN)
• Microsoft Azure - Microsoft Corporation (MSFT)
• Google Cloud Platform (GCP) - Alphabet Inc. (GOOGL)

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Sridhar Ramaswamy was appointed CEO of Snowflake in February 2024, succeeding Frank Slootman. He joined Snowflake in May 2023 with the company's acquisition of Neeva, an AI-powered search engine that he co-founded in 2019. Before Neeva, Ramaswamy spent over 15 years at Google, where he served as Senior Vice President of Ads & Commerce and was instrumental in growing Google's advertising business from $1.5 billion to over $100 billion. He also held research positions at Bell Labs, Lucent Technologies, and Bell Communications Research (Bellcore), and was a Venture Partner at Greylock Partners.

Mike Scarpelli has served as Snowflake's Chief Financial Officer since August 2019. Prior to joining Snowflake, he served as CFO at ServiceNow from 2011 to 2019, guiding the company through its IPO. Earlier in his career, Scarpelli was the CFO of Data Domain for three years, where he led the company through its IPO in 2007 and its subsequent acquisition by EMC in 2009 for $2.4 billion. He has a track record of leading multiple companies through successful IPOs and acquisitions. Scarpelli began his career in public accounting at Coopers and Lybrand and also served as CFO of HPL Technologies, Inc.

Frank Slootman became the Chairman of the Board for Snowflake in February 2024, after serving as CEO from 2019. He led Snowflake through its blockbuster IPO in 2020. Slootman is recognized for growing companies founded by others and has successfully taken three companies public. Before Snowflake, he was CEO of ServiceNow from 2011 to 2017, taking it public in 2012. From 2003 to 2009, he was CEO of Data Domain, which he took public in 2007 and sold to EMC for $1.8 billion or $2.4 billion.

Benoit Dageville is a Co-Founder of Snowflake and currently serves as its Chief Architect and President of Product. He has been a member of Snowflake's board of directors since August 2012. Before co-founding Snowflake, Dageville held various engineering roles at Oracle Corporation, including Architect in the Manageability Group from 2002 to 2012.

Christian Kleinerman is the Executive Vice President of Product at Snowflake, having joined the company in 2018. He is a database expert with over 20 years of experience. Prior to Snowflake, Kleinerman worked at Google, where he led YouTube's infrastructure and data systems. He also served as General Manager of the Data Warehousing product unit at Microsoft.

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Here are the key risks to Snowflake's business:

1. Intense Competition: Snowflake operates in a highly competitive market for cloud-based data platforms. The company faces significant competition from major cloud providers like Amazon Web Services (AWS), Google Cloud, and Microsoft Azure, which offer their own integrated data warehousing and analytics solutions. Additionally, specialized data platform companies such as Databricks pose a direct threat, particularly in areas like machine learning and AI workloads. This intense competition can lead to pricing pressures, the need for continuous and substantial investment in innovation, and potential erosion of market share.
2. Volatility of Consumption-Based Revenue Model: Snowflake's revenue is predominantly generated through a consumption-based model, meaning its financial performance is directly tied to customer usage of its Data Cloud platform. While this model can align costs with value for customers, it also makes Snowflake's revenue highly sensitive to customer optimization efforts and broader macroeconomic spending slowdowns. The company has experienced a deceleration in its product revenue growth rate, and forecasting future results remains challenging due to a limited operating history and external economic factors. Snowflake has also historically reported operating losses and may face challenges in achieving or sustaining profitability.
3. Security and Data Breach Risks: As a cloud-based data platform, Snowflake is inherently exposed to cybersecurity threats, including unauthorized access to customer data. Recent high-profile incidents have highlighted vulnerabilities arising from compromised customer credentials and the absence of multi-factor authentication (MFA) on customer accounts, leading to the exposure of sensitive data for numerous organizations. Although Snowflake has stated that these incidents were not due to a breach of its own system or platform vulnerabilities, such events can severely damage the company's reputation, reduce demand for its platform, and result in significant liabilities and potential customer churn.

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Intensified competition from hyperscale cloud providers' native data and artificial intelligence (AI) services.

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Snowflake (SNOW) operates within significant and expanding addressable markets, primarily driven by its cloud-based data platform.

• In 2020, Snowflake's total addressable market (TAM) for its Cloud Data Platform was estimated at $81 billion. This expanded significantly, tripling to $248 billion within 2.5 years, as of March 2023.
• More recently, in December 2025, Snowflake's overall market opportunity was projected to increase from $170 billion to over $350 billion within five years.
• The broader data cloud market, where Snowflake's Data Cloud platform is a key player, is projected to reach $1 trillion globally by 2028.
• Specifically, the global cloud data warehouse market is anticipated to grow from $36.31 billion in 2025 to $155.66 billion by 2034, exhibiting a compound annual growth rate (CAGR) of 17.55%.

These market size estimates are generally global, as no specific regional limitations were indicated in the provided data, with the "global cloud data warehouse market" explicitly stated.

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Here are the expected drivers of future revenue growth for Snowflake (SNOW) over the next 2-3 years:

1. Expansion of AI Portfolio: Snowflake's growing suite of AI-driven products and services, including Snowflake Intelligence, Cortex Code, and Snowflake Arctic, is a primary driver of future revenue. These offerings are accelerating enterprise adoption of AI agent capabilities and the development and deployment of AI-powered applications. Snowflake Intelligence, providing enterprise-grade agent capabilities, scaled rapidly to over 2,500 accounts in Q4 FY26, nearly doubling quarter-over-quarter. Cortex Code, a coding agent, is being utilized by over 4,400 customers to accelerate AI application development.
2. Customer Acquisition and Expansion: The company continues to demonstrate strong growth in its customer base and increased spending from existing clients. Snowflake added 740 net new customers in Q4 FY26, marking a 40% year-over-year increase, and reported a healthy net revenue retention rate of 125%. Furthermore, the number of customers spending over $1 million annually grew by 27% year-over-year to 733, with 56 customers now spending over $10 million annually, up 56% year-over-year.
3. Strategic Product Development and Innovation: Snowflake is consistently enhancing its platform through continuous product innovation and strategic acquisitions. Key innovations like Iceberg, Snowpark container services, and hybrid tables are designed to fuel future revenue growth by expanding capabilities and strengthening its competitive advantage. Strategic acquisitions, such as Crunchy Data for PostgreSQL expansion and Observe and TensorStax for observability and AI-driven data engineering, further integrate advanced features into the platform.
4. Multi-Cloud Strategy and Strategic Partnerships: Snowflake's robust multi-cloud strategy, enabling seamless operations across major public clouds like AWS, Azure, and Google Cloud, offers significant flexibility and helps businesses avoid vendor lock-in. Additionally, strategic partnerships with leading AI companies such as OpenAI, Anthropic, and Google Cloud are expanding its ecosystem and market reach, facilitating seamless data integration and broadening the availability of models for users.

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Share Repurchases

• Snowflake announced a $2 billion stock repurchase program in June 2023.
• During the fiscal year ending January 31, 2025, Snowflake repurchased 14.8 million shares for $1.9 billion, under an authorized program of up to $4.5 billion, with $2.0 billion remaining available.
• From August 1, 2025, to October 31, 2025, the company completed repurchases of 23,034,000 shares for $3,247.59 million under a buyback plan announced on March 1, 2023.

Outbound Investments

• Snowflake acquired Neeva in Q1 FY2024, adding 40 employees, primarily in research and development, to integrate search capabilities with generative AI across the Data Cloud.
• The company has also made acquisitions such as Applica to enhance its AI capabilities.

Capital Expenditures

• Snowflake's capital expenditures for the fiscal year ending January 2026 peaked at $101.6 million.
• Annual capital expenditures were $97.963 million in 2024 and $75.712 million in 2025.
• The company had aggressively spent on purchasing GPUs for AI capabilities, with R&D expenses surging to $1.28 billion in Fiscal 2024, but plans to slow down AI investments until previous investments yield revenue growth.