Snowflake Q2 Revenue Jumps 32 Percent

Snowflake (SNOW) reported strong Q2 FY26 results, with product revenue increasing 32% year-over-year to $1.09 billion, and raised its full-year product revenue growth guidance to 27%. Key drivers included significant AI-driven momentum, with AI influencing nearly 50% of new logos and powering 25% of deployed use cases, accelerating customer acquisition and usage. The company also saw its Azure business grow 40% year-over-year and achieved record net new customer additions (up 21% YoY), including 50 new customers crossing the $1 million trailing twelve-month revenue threshold, signaling expanding market penetration and long-term growth potential in AI-centric data workloads.

Analysis

Snowflake's Q2 FY26 performance demonstrates significant operational momentum, evidenced by a 32% year-over-year increase in product revenue to $1.09 billion and a strong 11% non-GAAP operating margin. This strength prompted management to raise full-year product revenue growth guidance to 27%, signaling confidence in sustained business acceleration. A primary growth catalyst is the rapid adoption of AI functionalities, which influenced nearly 50% of new customer acquisitions and now power 25% of all deployed use cases. The strategic partnership with Microsoft is also yielding substantial returns, with Snowflake's business on Azure growing 40% year-over-year, its fastest-growing cloud segment, driven by targeted sales alignment and product integrations. Furthermore, the company's go-to-market engine is proving highly effective, delivering a record 533 net new customers—a 21% annual increase—and adding a record 50 new customers who surpassed the $1 million trailing-twelve-month revenue threshold, reinforcing the platform's expanding wallet share within large enterprises.

Key Decisions for Investors

• Given the strong 32% product revenue growth and raised full-year guidance, investors should view these results as confirmation of a successful strategic execution, potentially justifying a re-evaluation of forward growth models.
• Monitor the growth rate of Snowflake's business on Microsoft Azure and the number of new $1 million-plus customers, as these metrics are primary indicators of the effectiveness of its partnership and enterprise sales strategies.
• The material impact of AI on customer acquisition and platform usage should be considered a core long-term value driver, and any future updates on AI workload adoption should be treated as a key signal for future revenue potential.