US Stock Insider Trading | Snowflake disclosed one insider trading transaction on February 3rd

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On February 3, 2026, Snowflake (SNOW) disclosed an insider trading transaction. Executive Kleinerman Christian sold 10,000 shares on February 2, 2026.

【Recent Insider Transactions】

Disclosure Date Position Name Transaction Date Buy/Sell Quantity Price per Share/USD Total Amount/USD
February 3, 2026 Executive Kleinerman Christian February 2, 2026 Sell 10,000 197.09 1.9709 million
January 22, 2026 Director Slootman Frank January 20, 2026 Sell 74,800 207.48 15.5255 million
January 22, 2026 Director Slootman Frank January 20, 2026 Sell 2,611 209.20 546,200
January 22, 2026 Director Slootman Frank January 20, 2026 Sell 2,718 208.67 567,200
January 22, 2026 Director Slootman Frank January 20, 2026 Sell 76,700 206.67 15.8457 million
January 22, 2026 Director Slootman Frank January 20, 2026 Sell 43,200 205.46 8.8694 million
January 22, 2026 Director Slootman Frank January 20, 2026 Buy 200,000 8.88 1.776 million
January 6, 2026 Executive Kleinerman Christian January 2, 2026 Sell 10,000 219.90 2.199 million
January 5, 2026 Director Speiser Michael L January 2, 2026 Sell 42,900 221.26 9.4873 million
January 5, 2026 Director Speiser Michael L January 2, 2026 Sell 7,862 220.64 1.7347 million

【Company Information】

Snowflake Inc. was incorporated in Delaware on July 23, 2012. The company’s Cloud Data Platform is an innovative technology powering Data Cloud. The platform enables customers to consolidate data into a single source of truth to drive meaningful business insights, build data-driven applications, and share data. The company’s cloud-native architecture consists of three independent, scalable layers across storage, compute, and cloud services. The storage layer absorbs large volumes of various structured and semi-structured data to create a unified data record. The compute layer provides dedicated resources allowing users to access common datasets for many use cases simultaneously without latency. The cloud services layer intelligently optimizes performance requirements for each use case without management. This architecture is built on three major public clouds deployed across 22 regions worldwide. These deployments are interconnected to create the company’s single Cloud Data Platform, providing a consistent global user experience. The platform supports a wide range of use cases that achieve customers’ most important business goals, including data engineering, data lakes, data warehouses, data science, data applications, and data sharing.

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