Snowflake’s AI Flywheel Drove a Sharp Post-Earnings Rally

Snowflake’s fiscal second-quarter results gave investors evidence that AI adoption can increase spending on an established software platform rather than displace it. Product revenue grew 37% year over year to $1.49 billion, and management raised fiscal 2027 product-revenue guidance to $6.07 billion from $5.84 billion. The market response was immediate: shares rose about 23% on September 3, adding roughly $25 billion in market value and reaching their highest level since December 2021. 2

The numbers behind the rally

Snowflake reported $1.55 billion in fiscal Q2 revenue, up 35% year over year, with product revenue accounting for $1.49 billion of that total. The company’s fiscal year ends in January; this quarter ended July 31, 2026.

The key change was forward guidance. The revised $6.07 billion fiscal 2027 product-revenue forecast implied 36% annual growth, compared with the prior $5.84 billion outlook, which implied 31% growth. That upgrade indicated that management expected the faster growth rate to persist beyond one quarter.

Why AI mattered more than a feature launch

CEO Sridhar Ramaswamy said AI offerings contributed approximately half of Snowflake’s growth acceleration and described a “flywheel effect” across the business. In practical terms, the thesis is that customers adopting Snowflake’s AI tools also create more demand for the company’s underlying data platform and associated workloads. 2

Two adoption figures made that explanation more concrete:

• Cortex Code, also referred to as CoCo in some reports, surpassed 9,100 accounts after adding more than 2,000 during the quarter. 17
• CoWork expanded to 5,800 accounts. 17

For investors, this mattered because Snowflake’s usage-based product-revenue model is tied to customer consumption. The quarter therefore supported the view that AI demand was translating into platform activity, not merely experimentation or product announcements. Management’s argument was not that AI is a separate revenue stream; it was that AI can bring more workloads into the core data cloud. 2

A positive read-through for enterprise software

Snowflake’s share price was up 23.3% at $377.12 in the September 3 trading session. Reuters reported that the move buoyed other software names, including ServiceNow, Atlassian, Salesforce, Adobe and Intuit. 2

The sector reaction reflected an inference, rather than proof that every software company would see the same result: enterprises appeared willing to spend on AI-enabled data, analytics and productivity products. Snowflake’s results challenged the more bearish argument that AI agents would broadly erode traditional software demand. 2

What the rally said about Snowflake’s competitive position

The central reassessment was strategic. If AI tools drive customers to store, organize, govern and process more data within Snowflake, the company can remain an important platform layer for enterprise AI workloads. That is the competitive promise embedded in the “flywheel” narrative. 2

The argument still depends on execution. Adoption counts for Cortex Code and CoWork show early traction, but they do not by themselves establish a durable competitive advantage or predict future revenue. Investors will need to see continued growth in product consumption and evidence that AI workload economics remain attractive.

The valuation caveat

The rally also increased the burden of proof. At the time of the post-results coverage, Snowflake traded at roughly 15 times forward revenue, compared with 7.4 times for the iShares Expanded Tech-Software Sector ETF. Its forward earnings multiple was about 121.8 times, above Datadog’s 72.7 times and MongoDB’s 52.1 times.

Those comparisons help explain why the reaction was so large: investors were not simply rewarding a quarterly beat. They were pricing in a sustained period of AI-led growth, continued execution and a defensible role in the data stack. If those expectations weaken, a premium valuation can amplify the downside as well as the upside.

Performance and the analyst response

Before the results, Snowflake shares had already risen about 39% in 2026, versus roughly 12% for the S&P 500 through the September 2 close, according to CNBC. The earnings reaction extended an existing recovery rather than reversing a deeply depressed market view.

Analysts broadly raised price objectives after the report. However, the available reporting is inconsistent on the count: a Reuters item citing LSEG data said at least 22 brokerages raised targets, while republished versions of the report said at least 34. Both accounts point to a broad upward revision in analyst expectations, but the exact total cannot be confirmed from the supplied sources.

The same LSEG-cited reporting identified Wells Fargo’s $525 target as the Street high after the quarter. A price target is an analyst opinion, not a consensus forecast or a guarantee of future performance.

Bottom line

Snowflake’s Q2 report changed the near-term AI investment case from possibility to measurable demand: 37% product-revenue growth, higher full-year guidance and growing adoption of AI products all supported the idea that AI can deepen use of the core data platform. 217

That explains the sharp stock move and the read-through to software peers. It does not eliminate the risk: Snowflake’s valuation assumes that its AI flywheel continues to produce durable consumption growth.