Snowflake Financial Performance and Market Position
Snowflake Inc. reported fiscal third quarter 2026 revenue of 962 million dollars, representing 31 percent year-over-year growth, as disclosed in its latest earnings release. The company's full-year fiscal 2026 revenue guidance was raised to approximately 3.8 billion dollars, reflecting strong demand for its data cloud platform. Snowflake stock trades on the NYSE under the ticker SNOW, with a market capitalization exceeding 60 billion dollars based on the most recent trading data. The company's net revenue retention rate remained above 170 percent, indicating continued expansion within existing customer accounts. For detailed financials, refer to the official Snowflake investor relations page Snowflake Investor Relations.
Snowflake's operating loss narrowed to 118 million dollars in the fiscal third quarter, driven by disciplined cost management and improving economies of scale. The company's free cash flow turned positive in the same period, generating 120 million dollars, a significant milestone for a growth-stage cloud provider. Snowflake's customer count surpassed 10,000, with 173 customers each spending over 1 million dollars annually. The company's data cloud platform competes directly with Databricks, Google BigQuery, and Amazon Redshift in the analytics and AI workloads segment. Snowflake's ranking in the Gartner Magic Quadrant for Cloud Database Management Systems remains a Leader as of the latest report.
AI Partnerships and Product Developments
Snowflake announced a strategic partnership with Nvidia to integrate Nvidia's AI frameworks directly into the Snowflake Data Cloud, enabling customers to run large language model training and inference workloads without moving data. The collaboration leverages Nvidia's accelerated computing and Snowflake's secure data sharing infrastructure. Snowflake also expanded its Cortex AI service, a fully managed AI and machine learning platform, to support vector search and retrieval-augmented generation use cases. Cortex AI allows developers to build AI applications using Snowflake's governed data, reducing the need for external AI infrastructure. The company's AI-related revenue contribution is growing rapidly, though Snowflake does not yet break out a separate AI revenue figure in its public filings.
Snowflake Cortex AI and Data Sharing Capabilities
Cortex AI includes pre-built models for text summarization, sentiment analysis, and classification, accessible through standard SQL queries. Snowflake's Data Marketplace connects over 8,000 data providers with subscribers, facilitating secure data exchange across industries. The platform supports real-time data sharing for supply chain, financial services, and healthcare analytics. Snowflake's Horizon feature provides governance and compliance controls for AI model deployment, addressing regulatory requirements in the European Union and the United States. The company's open data format, Iceberg, is adopted by major cloud providers including Amazon Web Services and Google Cloud Platform, enhancing interoperability Forbes analysis on Snowflake AI strategy.
Competitive Landscape and Future Outlook
Snowflake faces increasing competition from hyperscalers such as Amazon Web Services, Microsoft Azure, and Google Cloud, which are expanding their integrated analytics and AI offerings. Databricks, a key rival, recently raised over 10 billion dollars in funding at a 43 billion dollar valuation, intensifying the data AI platform race. Snowflake's differentiation lies in its multi-cloud architecture, separation of storage and compute, and native support for structured and semi-structured data. The company's acquisition of Streamlit and Cascade Technologies strengthens its application development and data pipeline capabilities. Snowflake's ability to retain and expand enterprise customers remains the primary driver of its long-term growth trajectory