Loading...
Access earnings results, analyst expectations, report, slides, earnings call, and transcript.
The earnings call indicates strong financial performance with a 26% increase in product revenue and a 34% rise in remaining performance obligations, suggesting robust demand. The company is also focusing on operational efficiency and has a strong liquidity position with $4.9 billion in cash and investments. Share repurchases indicate a commitment to returning value to shareholders. Despite some uncertainties in the Q&A, the overall sentiment is positive due to strong financial metrics, optimistic guidance, and strategic investments in growth areas like AI and product development.
Product Revenue $997 million, up 26% year-over-year. Growth driven by new product offerings like Snowpark and Dynamic Tables, with strong performance in technology and retail sectors.
Remaining Performance Obligations $6.7 billion, up 34% year-over-year. Reflects strong demand and customer commitments.
Net Revenue Retention 124%. Indicates strong customer loyalty and expansion within existing accounts.
Non-GAAP Product Gross Margin 75.7%. Stable margins due to efficiency improvements.
Non-GAAP Operating Margin 9%, up 442 basis points year-over-year. Improvement attributed to operational efficiency and strategic investments.
Non-GAAP Adjusted Free Cash Flow Margin 20%. Seasonality impacted by large customer purchases in Q4.
Share Repurchase $491 million used to repurchase 3.2 million shares at an average price of $152.63. Reflects commitment to returning value to shareholders.
Cash and Investments $4.9 billion at the end of the quarter. Indicates strong liquidity position.
Product Revenue: Product revenue for Q1 was $997 million, up 26% year-over-year.
New Product Offerings: Both Snowpark and Dynamic Tables outperformed expectations in Q1.
Product Capabilities: Over 125 product capabilities were brought to market this quarter, a 100% increase over Q1 of last year.
AI and Machine Learning Adoption: Over 5,200 accounts are using AI and machine learning on a weekly basis.
Cortex AI Launch: Launched Cortex Agent to help customers scale processing of unstructured and structured data.
Market Expansion: Launched Snowflake Public Sector Inc. to deliver solutions to the national security community.
Automotive Solutions: Introduced new automotive solutions for companies like CarMax and Nissan.
Operational Efficiency: Non-GAAP operating margin was 9%, up 442 basis points year-over-year.
Customer Growth: Added 451 net new customers in Q1, growing 19% year-over-year.
Share Repurchase: Used $491 million to repurchase 3.2 million shares at an average price of $152.63.
Strategic Focus: Renewed focus on go-to-market operations under new Chief Revenue Officer, Mike Gannon.
Partnership Expansion: Expanded partnership with Microsoft to host OpenAI models on Azure.
Competitive Pressures: Snowflake faces competitive pressures as it continues to innovate rapidly and expand its product offerings. The need to maintain a competitive edge in the AI and data cloud market is critical as other companies also enhance their capabilities.
Regulatory Issues: The launch of Snowflake Public Sector Inc. and the recent Department of Defense Impact Level provisional authorization indicate potential regulatory challenges and the need for compliance in delivering solutions to government entities.
Supply Chain Challenges: While not explicitly mentioned, the discussion around data integration and partnerships with companies like SAP and Workday suggests that supply chain challenges could arise from dependencies on third-party platforms for data connectivity.
Economic Factors: The company noted variability in bookings due to large customers delaying renewals, which reflects potential economic factors affecting customer spending and contract timing.
Operational Efficiency: Snowflake is focused on driving operational efficiency while investing for growth, indicating a challenge in balancing these two aspects as they scale their operations.
Product Revenue Growth: Product revenue for Q1 was $997 million, up 26% year-over-year, with no deceleration quarter-over-quarter.
Remaining Performance Obligations: Totaled $6.7 billion with year-over-year growth of 34%.
Net Revenue Retention: Healthy at 124%.
AI and Machine Learning Adoption: Over 5,200 accounts using AI and machine learning weekly.
New Product Capabilities: Launched over 125 product capabilities in Q1, a 100% increase from Q1 last year.
Public Sector Expansion: Launched Snowflake Public Sector Inc. to deliver solutions to the national security community.
Automotive Solutions: Introduced new AI data cloud solutions for automotive companies.
Q2 Product Revenue Guidance: Expected between $1.035 billion and $1.04 billion, representing 25% year-over-year growth.
FY 2026 Revenue Guidance: Increased to $4.325 billion, representing 25% year-over-year growth.
Q2 Non-GAAP Operating Margin: Expected at 8%.
FY 2026 Non-GAAP Gross Margin: Approximately 75%.
FY 2026 Non-GAAP Adjusted Free Cash Flow Margin: Expected at 25%.
Share Repurchase: In Q1, we used $491 million to repurchase 3.2 million shares at an average weighted price per share of $152.63. We still have $1.5 billion remaining on our authorization through March 2027.
The earnings call highlights several positive aspects: Snowflake's expansion into a complete data platform, strong AI integration, and a $200 million partnership with Anthropic. The company's optimistic guidance, increased product revenue expectations, and positive customer adoption trends in AI products contribute to a positive sentiment. However, some lack of clarity in management's responses and guidance for FY '27 slightly tempers the enthusiasm. Overall, the positive factors outweigh the negatives, suggesting a stock price increase in the short term.
The earnings call highlights strong product revenue growth, successful AI and machine learning adoption, and increased guidance for FY 2026 revenue, which suggests positive momentum. The Q&A section further supports this with positive analyst sentiment towards AI's role in business value and strong collaborations with Microsoft Azure. Despite some unclear responses, the overall sentiment is positive, indicating a likely stock price increase.
All transcripts are sourced directly from the official live webcast or the company’s official investor relations website. We use the exact words spoken during the call with no paraphrasing of the core discussion.
Full verbatim transcripts are typically published within 4–12 hours after the call ends. Same-day availability is guaranteed for all S&P 500 and most mid-cap companies.
No material content is ever changed or summarized in the “Full Transcript” section. We only correct obvious spoken typos (e.g., “um”, “ah”, repeated 10 times”, or clear misspoken ticker symbols) and add speaker names/titles for readability. Every substantive sentence remains 100% as spoken.
When audio quality is poor or multiple speakers talk over each other, we mark the section instead of guessing. This ensures complete accuracy rather than introducing potential errors.
They are generated by a specialized financial-language model trained exclusively on 15+ years of earnings transcripts. The model extracts financial figures, guidance, and tone with 97%+ accuracy and is regularly validated against human analysts. The full raw transcript always remains available for verification.