Cloud data platform provider Snowflake (NYSE: SNOW) reported Q1 CY2026 results exceeding the market’s revenue expectations, with sales up 33.5% year on year to $1.39 billion. Its non-GAAP profit of $0.39 per share was 21.9% above analysts’ consensus estimates.

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StockStory’s Take

Snowflake’s first quarter results were met with a significant positive market reaction, driven by accelerated product adoption and strong customer momentum. Management attributed this outperformance to rapid uptake of Snowflake’s new AI-native products, including Snowflake Intelligence and Cortex Code (CoCo), which saw the fastest adoption rates in company history. CEO Sridhar Ramaswamy highlighted that these agentic products not only created new revenue streams but also fueled increased consumption of the core data platform. The company’s ability to facilitate large-scale migrations and deliver operational efficiencies for customers in sectors like financial services and consumer goods was cited as a key factor behind the robust quarterly performance.

Looking forward, Snowflake’s guidance reflects expectations for continued growth from both its core platform and expanding suite of AI-driven solutions. Management emphasized that new AI offerings are enabling customers to accelerate workflow automation and application development, which the company believes will drive further platform consumption and margin expansion. CFO Brian Robins stated that strong adoption of AI products, particularly CoCo, was a major factor in raising the outlook for the rest of the year. The company is also investing in governance features and infrastructure partnerships, such as an expanded deal with AWS, to ensure scalability and trust as customer needs evolve in the rapidly changing AI landscape.

Key Insights from Management’s Remarks

Management attributed the quarter’s strong results to accelerated adoption of AI-native products, operational efficiencies, and expanded customer activity across key industries.

• AI-native product acceleration: Snowflake Intelligence and CoCo experienced the fastest adoption for a new product launch in the company’s history, according to management. This rapid uptake was credited with both generating incremental AI revenue and driving higher core platform usage as customers expanded their workloads and migrated legacy systems.
• Operational transformation via AI: By integrating AI into its own operations, Snowflake reported a 25% faster customer case resolution and a 40% reduction in engineering time per support ticket. Management described these improvements as proof points for the operational leverage AI products can deliver internally and for customers.
• Customer migration and expansion: Notable wins included a major U.S. bank completing a complex multi-year migration to Snowflake and global enterprises like Nestlé and Thomson Reuters expanding their deployments. Management emphasized that these migrations were completed more quickly and at greater scale than previously possible, thanks to Snowflake’s AI-driven automation capabilities.
• Go-to-market and sales productivity: The company reported a 38% year-over-year increase in net new customers and the highest number of large customer additions to date. CEO Sridhar Ramaswamy credited AI-powered tools with enhancing sales execution and accelerating proof-of-concept timelines for customers.
• Strengthened ecosystem partnerships: Snowflake announced a $6 billion, five-year partnership with AWS and a $200 million expansion with OpenAI, supporting further global reach and joint go-to-market efforts. These partnerships are designed to improve scalability and access to advanced AI models for customers.

Drivers of Future Performance

Snowflake’s outlook is shaped by growing demand for AI-powered solutions, operational discipline, and ongoing investment in customer success and platform scalability.

• AI-driven platform expansion: Management expects the continued rollout and adoption of Snowflake Intelligence and CoCo to accelerate workload migration and application development, citing AI as both a direct revenue source and a catalyst for increased platform consumption. The company believes this creates a compounding growth effect across its customer base.
• Margin and cost focus: While AI products tend to have slightly lower gross margins than the core platform, management stated that improved efficiency from vendor contracts and operational automation is expected to sustain non-GAAP product gross margins at 75%. Disciplined hiring and use of AI for internal processes are also projected to support further margin expansion.
• Execution and competitive landscape: Management emphasized the importance of maintaining trust and governance as a differentiator in the enterprise AI market. The company is investing in advanced security, data governance, and cross-application integration (bolstered by acquisitions like Natoma) to strengthen its position against both established cloud providers and emerging AI competitors.

Catalysts in Upcoming Quarters

In the coming quarters, the StockStory team will monitor (1) the pace of AI product adoption and its impact on both new and existing customer usage, (2) margin sustainability as AI-driven workloads scale, and (3) integration progress from new acquisitions and partnerships, including Natoma and AWS. The ability to maintain differentiated governance and security features will also be a key indicator of future success.

Snowflake currently trades at $241.10, up from $175.94 just before the earnings. At this price, is it a buy or sell? Find out in our full research report (it’s free).

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