Snowflake pulled off something rare on September 2, 2026: it reported accelerating product revenue growth for the third quarter in a row, raised its full-year outlook, and sent its stock up more than 20% in extended trading. Three weeks later, SNOW is trading near $336, roughly 13% below the post-earnings high around $384. That pullback is the more interesting entry point.

Why This Stock Now

The beat was not close. Snowflake reported fiscal second-quarter results that topped Wall Street expectations, with adjusted earnings of $0.62 a share on revenue of $1.55 billion, ahead of forecasts for $0.45 a share and $1.48 billion. The earnings gap alone, 38% above consensus, reflected something beyond a seasonal tailwind. Product revenue grew 37% from a year earlier to $1.49 billion, marking the third consecutive quarter of acceleration.

The Business

Snowflake runs the infrastructure layer where enterprise data lives before it becomes AI output. The company’s cloud platform lets organizations consolidate data, run models, and build AI-powered applications without moving data between vendors. That positioning matters because every enterprise AI project requires a data foundation, and Snowflake has spent five years building switching costs into that foundation.

Management said AI products contributed to approximately half of the acceleration, led by CoCo and CoWork. Those two products are driving consumption higher per customer, which is what produces the margin expansion the market rewarded. Net revenue retention reached 126%; the company added 692 net new customers and 48 net new clients spending over $1 million annually, totaling 14,554 customers. A 126% retention rate means existing customers are spending more each year without Snowflake having to sell them anything new.

Why Wall Street Is Paying Attention

After the quarter, Goldman Sachs raised its target to $436, Argus went to $450, and Wells Fargo set a new street-high figure at $525, according to LSEG data cited by Reuters. The average 12-month price target is now $425.19, with 43 analysts recommending buying the stock and only one suggesting selling. That consensus held up even as the stock gave back some of its post-earnings gains during the broader September rate-driven selloff.

Snowflake raised its full-year product revenue guidance to $6.07 billion, representing 36% year-over-year growth, up from the $5.84 billion it had projected previously. The company sees third-quarter product revenue in the range of $1.588 billion to $1.593 billion and expects an adjusted operating margin of 15.5% for the quarter and 14.5% for the full year, up from prior guidance of 13.5%.

What’s Driving the Opportunity

The selloff from the post-earnings high reflects macro pressure, not a change in fundamentals. Non-GAAP operating income reached about $237 million, beating estimates by roughly 27%, pushing the margin to about 15.3%, up roughly 400 basis points from a year ago. Adjusted EPS landed at $0.62, climbing about 77% year over year. Profitability is compounding at the same pace as growth, which is unusual for a software company still investing heavily in AI capacity.

The next earnings report is expected on December 2, 2026. Between now and then, Snowflake is slated to appear at investor conferences and other management events. Any confirmation that AI product consumption stayed elevated through October would reassess where the stock deserves to trade.

What Could Go Wrong

Management lowered its full-year non-GAAP product gross margin outlook to 74% due to AI workload mix and reaffirmed a GAAP profitability target for Q4 fiscal 2028. That is still more than a year away. Investors are also weighing insider selling, with recent Form 4 filings showing multiple sales by directors and executives, alongside the stock’s elevated valuation after a major six-month rally. Competition from hyperscalers, particularly Microsoft’s Fabric platform, remains a structural concern that will not disappear on any single quarter’s results.

The Bottom Line

Snowflake is not cheap on any traditional multiple. But it is growing at 37%, accelerating, expanding margins, retaining customers at 126%, and trading about 13% below what the market offered after earnings. The AI data infrastructure thesis is playing out in the numbers. At $336, with a consensus target of $425, the gap between price and expectation is wide enough to make the argument that the risk here is missing a re-rating, not catching a falling stock.