TLDR
- On March 23, founder Benoit Dageville offloaded 874 SNOW shares at $170.01 each, generating approximately $148,588 through a pre-established 10b5-1 trading arrangement
- Chief Accounting Officer Emily Ho simultaneously divested 2,141 shares at roughly $173.97 apiece, totaling approximately $372,470 and reducing her holdings by 4.59%
- Shares of SNOW have declined approximately 7% during the previous week, currently hovering near $161.21, significantly beneath the 52-week peak of $280.67
- Fourth-quarter performance exceeded expectations with EPS of $0.32 surpassing projections and revenue reaching $1.28 billion, up 30.1% year-over-year — yet share prices remain stagnant
- Class-action litigation filings and persistent insider transactions are creating additional headwinds, though Wall Street maintains a “Moderate Buy” stance with mean price target of $248.58
A pair of Snowflake executives liquidated shares on identical dates last week, capturing investor attention. Trading at roughly 7% lower over the trailing five-day period, these simultaneous transactions have intensified scrutiny surrounding a stock that has struggled throughout the year.
Company founder and Chief Architect Benoit Dageville divested 874 shares on March 23 at a price of $170.01, yielding approximately $148,588. This sale occurred under a Rule 10b5-1 trading arrangement established in March 2025, indicating it was predetermined rather than opportunistic. Dageville additionally disposed of 598 and 287 shares on March 20 for tax withholding purposes, priced at $175.40 each.
Following these transactions, Dageville maintains direct ownership of 65,742 shares. His indirect holdings remain substantial — 750,000 shares via The Selene GRAT No. 1, more than 3 million through The Snow Trust UTA, while his spouse controls another 750,000 shares via The Thira GRAT No. 1.
Concurrently, Chief Accounting Officer Emily Ho divested 2,141 shares at a mean price of $173.97, receiving roughly $372,470. This transaction reduced her position by 4.59%, leaving her with 44,553 remaining shares valued at approximately $7.75 million.
Impressive Quarterly Results Fail to Spark Rally
These insider transactions occurred despite robust Q4 performance. Snowflake delivered EPS of $0.32, exceeding analyst expectations of $0.27 by a nickel. Revenue totaled $1.28 billion, representing 30.1% year-over-year growth and surpassing the $1.25 billion projection. Remaining performance obligations surged 42% to $9.77 billion, partially driven by a significant $400 million agreement with a financial services company.
Despite this, shares have failed to gain momentum. SNOW currently trades at $161.21, representing a substantial retreat from its 52-week high of $280.67, and trading beneath both its 50-day moving average of $182.41 and 200-day average of $218.51.
Wall Street analysts have broadly revised their price objectives downward following the earnings announcement. Wells Fargo reduced its target from $290 to $210. BTIG lowered projections from $312 to $235. Scotiabank decreased its target from $290 to $205. However, most firms retained favorable ratings. Among 42 analysts, the consensus target stands at $248.58, with 33 maintaining Buy ratings, five at Hold, and two at Sell.
Litigation Concerns Compound Challenges
Multiple law firms have initiated or advertised class-action proceedings against Snowflake, targeting shares purchased between June 27, 2023 and February 28, 2024. Lead-plaintiff application deadlines cluster around April 27, 2026. The proliferation of legal actions — from firms such as Rosen, Pomerantz, Schall, and others — has introduced regulatory uncertainty surrounding the equity.
Regarding institutional positioning, Vanguard acquired 1.45 million additional shares during Q4, expanding its total holdings beyond 30 million. Jennison Associates increased its stake by 27.7% to 11.6 million shares. Institutional investors collectively control 65.1% of SNOW.
Snowflake’s artificial intelligence effort, Project SnowWork, continues in restricted preview mode, focusing on enterprise business users through data-anchored AI agents.
