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Forbes Global 2000 Customers

Revenue segments as reported by the company.

Americas

EMEA

Asia-Pacific and Japan

United States

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Revenue Segments

Gross Profit, Operating Income, and Net Income as a percentage of Revenue

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An operating expense is an expense a business incurs through its normal business operations. Often abbreviated as OPEX.

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Year over year growth in Revenue and Operating Expenses.

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Shares outstanding refer to a company's stock currently held by all its shareholders, including share blocks held by institutional investors and restricted shares owned by the company's officers and insiders.

Outstanding Shares

Market Cap

Also known as Price/Sales Ratio. Calculated using Average market cap for the quarter / Annualized quarterly revenue.

Revenue Multiple

Snowflake

Snowflake, Inc. provides cloud data warehousing software. This includes the Data Cloud, an ecosystem where Snowflake customers, partners, data providers, and data consumers can break down data silos and derive value from rapidly growing data sets in secure, governed, and compliant ways. Its platform supports a range of use cases, including data warehousing, data lakes, data engineering, data science, data application development, and data sharing. The cloud-native architecture consists of three independently scalable layers across storage, compute, and cloud services. The storage layer ingests massive amounts and varieties of structured and semi-structured data to create a unified data record. The compute layer provides dedicated resources to enable users to simultaneously access common data sets for many use cases without latency. The cloud services layer optimizes each use case's performance requirements with no administration. Snowflake was founded by Marcin Zukowski, Thierry Cruanes and Benoit Dageville on July 23, 2012 and is headquartered in Bozeman, MT.

Earnings data Q2 2023

Earnings data Q3 2023

Earnings data Q4 2023

Earnings data Q1 2024

Earnings data Q2 2024

Earnings data Q3 2024

Earnings data Q4 2024

Earnings data Q1 2025

Earnings data Q2 2025

Earnings data Q3 2025

Earnings data Q4 2025

Earnings data Q1 2026

Earnings data Q2 2026

Earnings data Q3 2026

Earnings data Q4 2026

Earnings data Q1 2027

Snowflake reports robust Q1 growth, eyes AI expansion and supply chain dominance

Snowflake's Q1 performance reflects strong growth in product revenue and a focus on AI-powered data solutions. Despite challenges in demand environment and consumption slowdowns, the company remains optimistic about long-term growth prospects. Snowflake's strategic acquisitions and focus on efficient growth position it well for future opportunities in AI and data management.

Snowflake reports robust Q2 growth, eyes AI strategy and partnerships

Snowflake's Q2 performance reflects strong revenue growth, customer engagement, and financial health.
Strategic strengths in AI focus, partnerships, and customer alignment position Snowflake for continued growth.
Challenges in consumption growth and sales execution optimization require attention for sustained success.
Opportunities lie in workforce expansion, data strategy enhancement, and leveraging Container Services for future growth.

Snowflake reports robust Q3 results, eyes AI opportunities and partnerships

Snowflake delivered strong Q3 performance with notable revenue growth, margin improvement, and customer acquisition, supported by innovative product introductions.
While facing challenges in legacy optimizations and NRR stabilization, Snowflake is well-positioned to leverage opportunities in AI, partnerships, and market expansion.
The company's strategic focus on sales specialization, technology advancements, and customer growth underscores its resilience and potential for sustained success.
Snowflake's market engagement, product innovation, and financial discipline position it favorably for continued growth and leadership in the cloud data platform space.

Snowflake reports robust Q4 earnings, eyes AI growth opportunities

Snowflake's Q4 FY '24 earnings call highlighted strong financial performance, innovative product offerings, and positive customer feedback, positioning the company for continued growth.
While facing challenges in consumption trends and revenue guidance, Snowflake's focus on AI initiatives and product enhancements presents opportunities for future expansion and market leadership.
With a new CEO, Sridhar Ramaswamy, at the helm and a clear long-term strategy, Snowflake aims to navigate market challenges and capitalize on its strengths to drive sustained growth and customer value.

Snowflake reports robust Q1 performance, eyes AI innovation for growth

Snowflake's Q1 performance reflects strong revenue growth and financial stability, supported by AI innovation and strategic partnerships.
Challenges include sustaining revenue growth, customer adoption of AI products, and effectively monetizing data through new features.
Opportunities in leveraging Iceberg capability, collaborations with Microsoft, and AI applications position Snowflake for continued growth and innovation.

Snowflake surpasses Q2 expectations, expands product portfolio for growth

Snowflake delivered exceptional financial results, exceeding expectations and demonstrating strong growth across key metrics. With a focus on innovation and customer satisfaction, Snowflake is well-positioned to capitalize on market opportunities and drive continued success. While facing competition and cybersecurity challenges, Snowflake's strategic initiatives and expanding product offerings bode well for future growth.

Snowflake reports robust Q4 earnings, eyes growth through strategic partnerships

Snowflake's Q4 performance showcased strong revenue growth, solid financial metrics, and a focus on customer-centric strategies and innovation. While facing challenges in a competitive market, Snowflake's partnerships and strategic focus position it well for future growth and market leadership. With a clear emphasis on efficiency, growth, and customer value, Snowflake is poised to capitalize on opportunities for expansion and product enhancement.

Snowflake reports strong Q2 growth driven by AI innovation

Snowflake's Q2 performance reflects strong revenue growth, operational efficiency, and a focus on innovation in AI and data analytics. The company's core business remains robust, supported by customer loyalty and market relevance. While facing competition and operational challenges, Snowflake's strengths lie in its technological advancements, customer relationships, and product expansion. The company is well-positioned to capitalize on opportunities in the AI and cloud-based data warehouse markets. To sustain its growth trajectory, Snowflake must navigate competitive pressures, balance innovation with profitability, and ensure seamless customer adoption. Leveraging AI capabilities, expanding product offerings, and enhancing connectivity can drive future success.

Snowflake reports stellar Q3 results, eyes AI growth opportunities

Snowflake's Q3 2026 earnings call highlighted impressive financial performance, strong customer growth, and strategic partnerships driving momentum. The company faces challenges in maintaining disciplined execution while seizing growth opportunities in AI and data engineering workloads.

Snowflake delivered strong financial performance in Q4 FY '26, with notable revenue growth, customer additions, and operational efficiency improvements. The company's strategic strengths lie in its focus on AI products, strategic partnerships, and recent acquisitions, positioning it for future growth. Challenges include maintaining data governance, balancing efficiency with innovation, and navigating competitive pressures in the market. Snowflake has opportunities to capitalize on the growing demand for AI solutions, expand partnerships, and drive further innovation and growth.

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Snowflake, Inc. engages in the provision of cloud data warehousing software. The firm offers Data Cloud, an ecosystem where Snowflake customers, partners, data providers, and data consumers can break down data silos and derive value from data. Its platform supports a range of use cases including data warehousing, data lakes, data engineering, data science, data application development, and data sharing. The cloud-native architecture consists of layers across storage, compute, and cloud services. The storage layer ingests structured and semi-structured data to create a unified data record. The compute layer provides dedicated resources to enable users to access common data sets for many use cases without latency. The cloud services layer optimizes each use case's performance requirements with no administration. The company was founded by Marcin Zukowski, Thierry Cruanes, and Benoit Dageville on July 23, 2012 and is headquartered in Menlo Park, CA.