Key Takeaways:
Snowflake reports Q2 FY2027 earnings Wednesday after the close, with shares up 47% YTD at $322.78 near the 52-week high of $341.95.
"AI is compounding Snowflake's advantage in data," CEO Sridhar Ramaswamy said, citing Cortex Code and Snowflake Intelligence as seeing "the fastest adoption of any new products in our history."
Last quarter, product revenue rose 34% to $1.334 billion, total revenue reached $1.39 billion, and non-GAAP EPS of $0.39 beat the $0.32 estimate. Management raised full-year product revenue guidance to $5.84 billion, or 31% growth, from $5.66 billion.
The report must justify the rally's last leg. The analyst consensus target of $321.35 sits roughly where the stock trades, and Polymarket traders assign a 0.947 probability of a beat — a view supported by five straight beats from Q1 FY2026 through Q1 FY2027.
Snowflake bills customers for compute used and data stored, not per user. A customer signs a multi-year commitment for a pool of credits and draws them down as workloads run. An AI agent runs continuously — querying tables, retrieving context, invoking a model, and writing results back to the warehouse, with each step consuming credits. More than 13,600 accounts now use Snowflake AI capabilities, Cortex Code sits in over 7,100 accounts, and Snowflake Intelligence accounts more than doubled quarter over quarter.
What Would Prove Production Usage, Not Pilots
Pilots and production workloads look identical in a headline growth number, because a well-funded pilot can burn real credits for a quarter or two. Four things matter in this release. Product revenue against management's guide of $1.415 billion to $1.420 billion, or roughly 30% growth. Large-customer additions — Snowflake added 46 customers crossing the $1 million trailing 12-month threshold, up from 26 a year earlier, and 8 customers surpassing $10 million in a single quarter. Breadth — net revenue retention of 126% is strong, but whether consumption growth is distributed across the base or concentrated in a few accounts matters. Guidance — a third full-year raise this cycle would confirm the acceleration.
Snowflake also signed a five-year, $6 billion contract with AWS, more than doubling its prior commitment. If agent workloads scale as expected, the commitment locks in favorable unit economics and helps offset the lower gross margin of AI products, keeping the 75% FY27 non-GAAP product gross margin target intact. If workloads scale more slowly, the same commitment becomes a drag on the 23% free cash flow margin target. Stock-based compensation continues to drive GAAP operating losses of $326 million a quarter, insider activity across 206 recent transactions is net selling, and competitive pressure from cloud providers and data-platform vendors is intensifying.
The average one-week move after the last five beats was 5.79%, but Q1, Q2, and Q3 of fiscal 2026 all showed negative one-day reactions despite beats. The market is stingy when expectations are elevated. What matters is whether product revenue outpaces the $1.42 billion guide by enough to signal observed AI consumption is running ahead of the model, and whether the full-year guide gets raised again. If either shows softness, the AWS commitment and the 169 forward multiple start looking like exposure rather than confidence, and the stock has room to give back a chunk of its 20.41% one-month gain.
The guidance raise would confirm management expects AI demand to accelerate. Investors will watch the September 2 report for updated product revenue and full-year guidance.
This article is for informational purposes only and does not constitute investment advice.
