US Stock Insider Trading | Snowflake disclosed 5 insider transactions on February 19

2026-02-23 22:52:20

On February 19, 2026, Snowflake (SNOW) disclosed five insider trading transactions. Director Slootman Frank purchased 100,000 shares on February 18, 2026.

【Recent Insider Transactions】

Disclosure Date	Position	Name	Transaction Date	Buy/Sell	Quantity	Price per Share/USD	Total Amount/USD
February 19, 2026	Director	Slootman Frank	February 18, 2026	Sell	34,800	177.54	6,174,900
February 19, 2026	Director	Slootman Frank	February 18, 2026	Sell	2,508	178.13	446,700
February 19, 2026	Director	Slootman Frank	February 18, 2026	Buy	100,000	8.88	888,000
February 19, 2026	Director	Slootman Frank	February 18, 2026	Sell	9,275	175.44	1,627,200
February 19, 2026	Director	Slootman Frank	February 18, 2026	Sell	53,400	176.70	9,442,000
February 6, 2026	Director	Speiser Michael L	February 6, 2026	Sell	35,300	165.04	5,833,700
February 6, 2026	Director	Speiser Michael L	February 6, 2026	Sell	15,400	165.65	2,549,900
February 3, 2026	Executive	Kleinerman Christian	February 2, 2026	Sell	10,000	197.09	1,970,900
January 22, 2026	Director	Slootman Frank	January 20, 2026	Sell	43,200	205.46	8,869,400
January 22, 2026	Director	Slootman Frank	January 20, 2026	Sell	76,700	206.67	15,845,700

【Company Profile】

Snowflake Inc. was incorporated in Delaware on July 23, 2012. The company’s Cloud Data Platform is an innovative technology powering Data Cloud. It 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 independently 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 common datasets for many use cases without delay. 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 the company’s most important business objectives, including data engineering, data lakes, data warehouses, data science, data applications, and data sharing.

View Original

This page may contain third-party content, which is provided for information purposes only (not representations/warranties) and should not be considered as an endorsement of its views by Gate, nor as financial or professional advice. See Disclaimer for details.