Snowflake's AI Growth Surprise Triggers a Wall Street Price-Target Reset

Snowflake's second-quarter results did more than produce a one-day rally. They forced analysts to rework the assumptions sitting underneath their valuation models. Reuters reported that at least 34 brokerages raised their price targets after the company lifted its fiscal 2027 product-revenue outlook and showed stronger adoption of its AI products.

The stock rose roughly 25% in the session following the report. Wells Fargo set the highest target among analysts tracked by LSEG at $525, according to Reuters. The breadth of the target changes is notable, but investors should separate two different events: Snowflake delivered stronger operating evidence, and analysts then marked up what they believe that evidence is worth.

The earnings report gave analysts real estimates to change

Snowflake reported second-quarter fiscal 2027 product revenue of $1.49 billion, up 37% from a year earlier. Total revenue was $1.55 billion, up 35%, while remaining performance obligations were $9.00 billion, up 30%. The company had 828 customers generating more than $1 million of trailing 12-month product revenue.

Most importantly for forward models, Snowflake raised its full-year product-revenue forecast to $6.07 billion from $5.84 billion. A target increase following higher company guidance is more informative than a target increase caused mainly by a higher market multiple because the underlying revenue expectation has changed.

AI is moving from product story to consumption driver

Snowflake's own release showed rapid account adoption of newer AI tools. CoCo surpassed 9,100 accounts after adding more than 2,000 during the quarter, while CoWork expanded to 5,800 accounts. Chief executive Sridhar Ramaswamy told Reuters that AI accounted for about half of the recent acceleration in growth.

That matters because Snowflake is a consumption business. The valuation case improves if AI workloads increase use of the core data platform rather than remaining a separate set of experimental features. The investor question is therefore not simply how many customers activate an AI product, but whether those products produce durable incremental consumption.

Thirty-four target increases do not create thirty-four independent signals

A large post-earnings wave of price-target changes can look like overwhelming confirmation. It is not. Sell-side models often update at the same time because every analyst receives the same quarterly release, guidance and management commentary. When a company raises revenue expectations, many targets will move mechanically even when ratings do not change.

The useful information is in the dispersion. Investors should compare which firms changed revenue estimates, margin assumptions and valuation multiples, and which simply rolled their models forward. Wells Fargo's $525 target establishes the bullish end of the immediate post-report range, but the highest target is not a forecast with special authority merely because it is highest.

Our view: the revenue revision matters more than the target-price stampede

Global Markets Review's view is that Snowflake's quarter strengthened the AI investment case more than the analyst reaction did. Product revenue accelerated to 37% growth and management raised the full-year outlook. Those are operating facts. The target increases are interpretations layered on top.

The next two quarters should test whether the acceleration persists once easier comparisons and post-launch adoption effects fade. Watch product-revenue growth, remaining performance obligations, net revenue retention and evidence that AI features deepen consumption among existing customers. If those measures keep improving, today's higher targets may prove conservative. If they do not, the speed of this week's rerating will become part of the downside risk.