Snowflake Crushes Estimates in Fiscal Q2 as AI Products Drive Nearly Half of New Revenue

Snowflake delivered the strongest rebuttal yet to the claim that AI will hollow out traditional software companies, and the market rewarded it accordingly. The data cloud company reported fiscal second-quarter 2027 results on September 2 after the close that blew past analyst estimates, and its stock surged roughly 23 percent on September 3 to around $377, its highest level since December 2021. Reuters reported on Sep 3 that the surge added about $25 billion in market value and lifted the entire software sector, because Snowflake's numbers suggested that AI spending is driving consumption inside established data platforms rather than replacing them.

The quarter was the company's third consecutive period of accelerating product revenue growth, a trend that chief executive Sridhar Ramaswamy attributed directly to AI. Reuters reported on Sep 3 that Ramaswamy told analysts AI offerings accounted for roughly half of the acceleration in growth, and that the company is seeing what it calls an AI flywheel, in which customers use AI features to generate more insights, which drives more data processing, which in turn drives more AI usage. The result was a template for how software incumbents can monetize the AI cycle, and it sent a wave of relief through a sector that had been bracing for AI agents to compress software pricing.

Key Facts

The headline numbers were strong across the board. Snowflake reported total revenue of $1.55 billion for the quarter ended July 31, 2026, up 35 percent year over year, and product revenue of $1.49 billion, up 37 percent, according to Reuters coverage on Sep 3. Adjusted earnings per share came in at $0.62, well above the $0.45 analysts had expected, while remaining performance obligations, a measure of contracted future revenue, reached $9.0 billion, up 30 percent. The company also raised its full-year fiscal 2027 product revenue forecast to $6.07 billion from $5.84 billion, an implied growth rate of about 36 percent that topped the Street's expectations.

The AI-specific metrics were what distinguished this quarter from earlier ones. Cortex Code, the company's AI coding assistant often shortened to CoCo, surpassed 9,100 customer accounts after adding more than 2,000 in the quarter, and the enterprise AI agent product CoWork reached 5,800 accounts, Reuters reported on Sep 3. Morgan Stanley analysts wrote on Sep 3 that the results show AI is monetizing by driving greater consumption in the core data platform, not just in standalone AI products, which is the mechanism software investors had been waiting to see confirmed. The company's non-GAAP operating margin expanded to 15.3 percent, roughly four percentage points higher than a year earlier, on operating income of $237 million.

The market reaction rippled across the software complex. ServiceNow, Atlassian, Salesforce, Adobe and Intuit all gained between 3.5 and 6 percent on September 3, and Palantir jumped more than 8 percent, while the iShares Expanded Tech-Software Sector ETF rose about 3 percent, according to sector recaps on Sep 3. At least 34 brokerages raised their price targets on Snowflake after the print, with Wells Fargo setting the street-high target at $525, which implied roughly 40 percent upside from the post-earnings share price. The stock's surge to about $377 put it at roughly 15 times forward revenue, compared with about 7.4 times for the broader software ETF, a premium that reflects the market's new conviction that Snowflake has become an AI consumption story rather than a pure data warehousing one.

Analysis

What this really means is that the software industry's biggest fear, that AI agents would let customers accomplish tasks without paying for traditional seats and subscriptions, is not playing out inside the data platform category, at least not yet. Snowflake's quarter is evidence that when AI is built into a system of record that already holds a customer's data, the AI becomes a consumption accelerator rather than a disintermediator, because every agent query, every generated analysis, and every new data pipeline adds compute and storage revenue on top of the subscription. The bigger picture here is that the winners in the enterprise AI transition may be the platforms that own the data layer, not the models or the point applications, and Snowflake's accelerating growth suggests investors are starting to price that outcome across the software sector.

The quarter also validates a strategic bet that was widely questioned when Snowflake made it. Under Sridhar Ramaswamy, who took over in early 2024, the company leaned into AI features and positioned its platform as cloud-neutral, arguing that customers would rather run AI workloads where their data already lives than move data to a model provider's cloud. Reuters reported on Sep 3 that the cloud-neutral positioning was a central theme of the earnings call, and the product numbers support the argument: CoCo surpassed 9,100 accounts without being bundled into a hyperscaler ecosystem, and CoWork's 5,800 accounts show enterprises are willing to buy AI agents from a data platform rather than only from model labs. The risk, of course, is that the flywheel depends on continued AI-driven consumption growth, and if enterprises pause their AI rollouts, the acceleration could reverse as quickly as it appeared.

There is a reasonable debate about how much of the move is fundamentals and how much is positioning ahead of the AI earnings cycle. Snowflake's non-GAAP operating margin of 15.3 percent is healthy but not exceptional for a company trading at 15 times forward revenue, and the $25 billion of market value added on September 3 means the stock is now priced for the AI flywheel to keep spinning for several quarters. The counterargument is that Snowflake's third consecutive quarter of accelerating product growth, combined with the raised guidance, gives investors a concrete trend line rather than a promise, and the breadth of the September 3 software rally suggests the market is applying the Snowflake lesson to the whole category. The most honest read is that this quarter changes the burden of proof, from software companies having to show they can monetize AI to skeptics having to show why they cannot.

Why It Matters

For Snowflake, the quarter resets the narrative after a period in which the stock had lagged the AI leaders, and it gives the company a stronger hand as it competes for enterprise data workloads against Databricks and the hyperscalers. For the broader software industry, the results matter because they offer evidence on the central valuation question of 2026, whether AI expands software total addressable market or contracts it; if Snowflake's AI-driven consumption is real and repeatable, the bear case for SaaS weakens across the board. For enterprise buyers, the quarter suggests that AI features are becoming a way to extract more value from existing data investments, which could accelerate adoption of AI coding assistants and agents in the second half of the fiscal year. And for investors, the reaction is a reminder that in the current market, software earnings that show AI monetization can move not just one stock but an entire sector in a single session.

Next Up

In the coming weeks, watch whether the AI-driven consumption trend shows up in the quarters of Snowflake's closest peers, particularly Databricks and the hyperscale cloud providers, since corroboration would confirm that the flywheel is an industry phenomenon rather than a company-specific one. Watch also for Snowflake's customer count disclosures at its next investor events, because the growth of CoCo from about 7,000 to more than 9,100 accounts in one quarter sets a high bar for the coming quarters to clear. The most important signal will come in the next earnings report, when investors will see whether the raised full-year guidance of $6.07 billion in product revenue is conservative enough to beat again, and whether the AI contribution to growth stays at roughly half as the company scales into larger enterprise deals.