Snowflake raises fiscal 2027 revenue forecast as accelerating AI demand drives strong results

Snowflake exceeded expectations by more than $70 million in fiscal Q2 (quarter ended July 31), and the stock rose over 20% pre-market on the news of its results and guidance update.
CFO Brian G. Robins said AI is “unlocking greater productivity,” and that Snowflake expects both internal and external use of AI to contribute to “revenue growth and margin expansion.”
In interviews around the quarter, CEO Sridhar Ramaswamy discussed competition with Databricks in the race to turn enterprise data into AI-driven growth, and highlighted adoption of Snowflake’s AI coding agent “Coco.”
One bearish angle cited in coverage: insider selling was reported at $431 million over the prior three months, while valuation metrics showed a high Price-to-Sales ratio of about 22.4x versus the company’s historical median.
Snowflake's stock surged over 20% in pre-market trading after the company beat fiscal Q2 expectations by more than $70 million and raised its full-year product revenue forecast. GuruFocus reported that CEO Sridhar Ramaswamy attributed roughly half of the outperformance to accelerating AI-driven demand, signaling that enterprise customers are deepening their use of the company's data platform rather than replacing it with standalone AI products.
The stronger-than-expected results reflect growing adoption of Snowflake's AI tools, including its coding agent Cortex Code and CoWork platform. Trading Key noted that the company expects both internal and external AI use to drive "revenue growth and margin expansion" through the fiscal year, positioning Snowflake to capitalize on the broader enterprise AI wave.
Snowflake's Q2 beat was fueled by accelerating demand for AI-powered data tools. CEO Ramaswamy explained that AI is compounding the company's competitive edge by driving wider customer adoption and deeper migrations onto Snowflake's core platform. GuruFocus reported that this dynamic—where AI creates demand for more underlying data infrastructure—contrasts with fears that standalone AI products might cannibalize traditional data platforms.
The company highlighted that customer uptake of Cortex Code and CoWork is accelerating quickly, signaling movement beyond pilot programs into production workloads. Trading Key noted that CFO Brian G. Robins emphasized AI is "unlocking greater productivity" across both Snowflake's internal operations and for its enterprise customers.
Snowflake's expanded fiscal 2027 guidance reflects confidence that product and platform improvements will drive margin expansion alongside revenue growth. The company noted that continued enterprise customer growth and integration of agentic AI solutions are improving operational leverage—meaning costs grow slower than revenue. TickerReport reported that Argus raised its price target to $450 from $300, signaling analyst confidence in sustained momentum.
Management expects this positive dynamic to persist as customers adopt more AI-enabled workflows across their organizations. The combination of wider adoption and deeper per-customer consumption suggests Snowflake can grow faster while keeping costs under control.
While investor enthusiasm drove the stock higher, some analysts flagged caution signals. Trading Key noted that insider selling totaled $431 million over the prior three months, and Snowflake's Price-to-Sales ratio stood at roughly 22.4x—well above the company's historical median. These metrics suggest the stock may be pricing in optimistic long-term growth assumptions.
The sharp post-earnings rally—which lifted shares 20% pre-market before settling—also reflects typical momentum-driven trading after a strong beat. News reported a 16.6% stock rise following the earnings release, indicating broad market enthusiasm despite the elevated valuation.
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