Snowflake Price Targets Surge After Earnings: Why Wall Street Now Sees Up to $525

Snowflake's fiscal second-quarter report did more than produce an earnings-day rally. It forced a broad reset of the assumptions Wall Street is using to value the cloud-data company. Reuters counted at least 34 brokerages raising their price targets after the results, an unusually concentrated wave of revisions that makes the analyst response more informative than any single target in isolation.

The operating catalyst was clear. Snowflake reported $1.49 billion of product revenue for the quarter, up 37% from a year earlier, and lifted its fiscal 2027 product-revenue forecast to $6.07 billion from $5.84 billion. Reuters reported that chief executive Sridhar Ramaswamy attributed roughly half of the recent acceleration in growth to AI. That matters because the central debate around enterprise software has shifted from whether companies can add AI features to whether those features create incremental, billable usage of the underlying platform.

The price-target reset was broad, not just one bullish outlier

The individual changes show how far models moved. Wells Fargo raised its target to $525 from $500 while maintaining an Overweight rating. UBS moved to $500 from $425, Citigroup to $490 from $395, Morgan Stanley to $470 from $300 and Oppenheimer to $475 from $400, according to analyst-action data compiled by Benzinga. Piper Sandler, TD Cowen and several other firms moved into the $450 area.

The scale of Morgan Stanley's move is particularly useful as a signal: a target increase from $300 to $470 is too large to describe as a routine model roll-forward. Across the group, analysts were responding to a higher revenue trajectory, stronger consumption and evidence that AI workloads are adding to demand rather than simply changing the label attached to existing cloud spending.

AI is valuable to Snowflake when it increases core platform consumption

Snowflake's business model makes the quality of AI adoption especially important. Customers consume compute and data services, so AI can matter twice: through dedicated AI products and through additional demand placed on the core data platform. Reuters reported rapid account adoption for Snowflake's AI tools and said management sees AI as contributing materially to the acceleration in growth.

That creates a more defensible investment case than counting AI product launches alone. If coding assistants, enterprise agents and model workloads cause customers to process more data inside Snowflake, AI becomes a consumption driver. The counterpoint is that consumption businesses can also expose investors quickly to optimisation cycles if customers become more efficient or if workload economics change.

The $525 target is a bull case, not a new consensus fact

A useful way to read the post-earnings analyst wave is as a distribution rather than a vote. Wells Fargo's $525 sits at the bullish end of the recent set. Other revised targets remain materially lower, including Barclays at $384 and StoneX at $400 in the September 3 data. The dispersion tells investors that analysts broadly agree the earnings outlook improved while still disagreeing about how much multiple Snowflake deserves.

That distinction matters after a sharp share-price reaction. When both earnings estimates and valuation multiples move at the same time, a target can rise much faster than the underlying revenue forecast. Investors should therefore separate the part of each revision driven by higher operating expectations from the part driven by willingness to pay more for each dollar of future growth.

GMR view: the real signal is the breadth of the estimate reset

Global Markets Review's view is that the strongest signal here is not the $525 headline. It is the breadth and magnitude of the post-results revisions. A large group of analysts independently moved their valuation frameworks after Snowflake showed accelerating product growth and raised guidance. That is more meaningful than a lone bullish initiation or a target increase unsupported by estimate changes.

The next test is whether the acceleration survives the comparison base. Snowflake now has to convert AI adoption into durable product consumption while preserving margins and defending its position against cloud platforms and data competitors. If product growth remains in the mid-30% range, the September repricing can be justified by fundamentals. If growth falls back quickly, the expanded valuation assumptions will become the first place investors look for downside.