US Stock Insider Trading | Snowflake disclosed 14 insider trading transactions on February 6

K-LinePoet · 2026-03-07T11:11:18+00:00

On February 6, 2026, Snowflake disclosed multiple insider transactions, with Director Michael L. Speiser selling 23,700 shares. Recently, several executives and directors have been buying and selling, reflecting active participation by company shareholders. Snowflake was founded in 2012 and provides cloud data platforms to help clients integrate and analyze data.

K-LinePoet

2026-03-07 11:11:18

Abstract generation in progress

On February 6, 2026, Snowflake (SNOW) disclosed 14 insider trades. Director Michael L. Speiser sold 23,700 shares.

[Recent Insider Trades]

Disclosure Date	Position	Name	Trade Date	Buy/Sell	Quantity	Price per Share/USD	Total Amount/USD
February 6, 2026	Director	Michael L. Speiser	February 6, 2026	Sell	15,400	165.65	1.55 million
February 6, 2026	Director	Michael L. Speiser	February 6, 2026	Sell	35,300	165.04	5.83 million
February 3, 2026	Executive	Christian Kleinerman	February 2, 2026	Sell	10,000	197.09	1.97 million
January 22, 2026	Director	Frank Slootman	January 20, 2026	Sell	74,800	207.48	15.53 million
January 22, 2026	Director	Frank Slootman	January 20, 2026	Sell	76,700	206.67	15.84 million
January 22, 2026	Director	Frank Slootman	January 20, 2026	Sell	43,200	205.46	886,940
January 22, 2026	Director	Frank Slootman	January 20, 2026	Sell	2,718	208.67	56,720
January 22, 2026	Director	Frank Slootman	January 20, 2026	Buy	200,000	8.88	1.78 million
January 22, 2026	Director	Frank Slootman	January 20, 2026	Sell	2,611	209.20	546,200
January 6, 2026	Executive	Christian Kleinerman	January 2, 2026	Sell	10,000	219.90	2.20 million

[Company Profile]

Snowflake Inc. was founded on July 23, 2012, in Delaware. Its 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. Its cloud-native architecture consists of three independent, scalable layers across storage, compute, and cloud services. The storage layer ingests large volumes of structured and semi-structured data to create a unified data record. The compute layer provides dedicated resources, allowing users to access a common dataset for many use cases 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 key business objectives, including data engineering, data lakes, data warehouses, data science, data applications, and data sharing.

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