Snowflake (SNOW) stock is starting to look interesting again.
Shares are down about 30% this year while the company has just appointed a new chief revenue officer as it tries to reaccelerate growth and improve sales execution.
That combination of a lower stock price and a shift at the top is changing the setup, which is why Mizuho’s latest call on Snowflake stock is worth paying attention to.
For those unfamiliar with Snowflake, the company provides a cloud-based data platform that allows organizations to store, process, and analyze large amounts of data. Snowflake makes money through a consumption-based model, where customers pay based on how much compute and storage they use, with higher usage and expanding workloads driving revenue growth over time.
Beaulieur has led Snowflake’s U.S. Majors Sales since August 2024 and has held several senior sales roles across the company over the past few years, including VP of Sales.
Snowflake’s CEO Sridhar Ramaswamy commented, “JB has been a key driver of our success for the past ten years, and has consistently proven his ability to deliver results at scale.”
Shares fell 4% on the day of the announcement, even as management reaffirmed Q1 2026 and FY2027 guidance.
However, Mizuho reiterated its $220 price target for the stock, implying they still see over 40% upside today for Snowflake stock.
A leadership change introduces near-term risks to pipeline continuity, deal timing, and expansion motion, just as the company tries to turn product momentum into usage growth.
With the stock down significantly and product revenue growth in the second half of FY2026 coming in lighter than expected, the next question is whether Q1 results show stable pipeline trends and continued customer expansion under the new CRO.
Across enterprise software, demand for AI and data platforms is shifting toward unified systems that can move from experimentation to production. Companies want a single platform where data, models, and applications all live together rather than siloed tools.
That demand backdrop matters because Snowflake’s model only scales when customers increase usage, not when contracts are signed.
In Q4 of fiscal year 2026, revenue grew 30% year over year to $1.28 billion, and the question is whether AI can push that higher by driving incremental compute consumption.
Snowflake’s growth now depends on AI driving real production usage that increases consumption beyond its core data warehouse.NurPhoto/Getty Images ·NurPhoto/Getty Images
If pilots convert into production, Snowflake captures more durable usage tied to applications, workflows, and code generation. This is where the platform thesis gets tested.
At the same time, competition is increasing. Microsoft and Google are both pushing deeper into bundled AI and data offerings, raising the bar for what counts as real adoption.
AI adoption moving from pilots to production drives incremental compute usage acros Cortex Code and Snowflake Intelligence
Higher usage within existing customers lifts revenue without requiring the same level of new customer acquisition
Stable sales execution under the new CRO supports enterprise deal conversion and preserves expansion trends
Continued large-customer growth increases consumption ramps and strengthens long-term revenue visibility
More AI and application workloads improve revenue mix and increase spend per customer
Operating leverage improves if usage grows without a proportional increase in sales and marketing spend
CRO transition disrupts pipeline execution and delays enterprise deal conversion
AI usage remains in pilot mode rather than converting into production-scale workloads
Weak expansion within large customers slows growth even if retention remains stable
Misses against reaffirmed guidance hurt credibility and pressure the valuation multiple
Competition from other data and AI platforms limits Snowflake’s share of high-value workloads
Mizuho’s call makes one thing clear. The long-term story for Snowflake is still intact, but what matters now is much more specific than just “execution.”
The focus shifts to whether the company can drive higher consumption among existing customers, convert AI interest into actual production usage, and maintain stable enterprise deal flow through the CRO transition. That’s what will actually drive revenue in a consumption model.
If usage ramps, especially from AI workloads, the recent reset could look like an opportunity. If not, growth may remain tied to the core warehouse business, which likely isn’t sufficient to meet current expectations.
Related: Wall Street resets Amazon stock price targets on AWS AI trends
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