US Stock Insider Trading | Snowflake disclosed 21 insider transactions on March 11

K-LinePoet · 2026-04-01T09:04:21+00:00

On March 11, 2026, Snowflake disclosed insider trading activities involving several executives and directors, including Ramaswamy Sridhar, who recently sold shares. Snowflake was founded in 2012 and focuses on providing cloud data platforms to help customers integrate data for business insights.

K-LinePoet

2026-04-01 09:04:21

Abstract generation in progress

On March 11, 2026, Snowflake (SNOW) disclosed 21 transactions involving company insiders. Director Ramaswamy Sridhar sold 11,900 shares on March 10, 2026.

[Recent Insider Transactions]

Disclosure date	Position	Name	Trade date	Buy/Sell	Quantity	Price per share/US$	Total amount/US$
March 11, 2026	Executive	Gannon Michael S	March 9, 2026	Sold	12,800	180.48	2.30M
March 11, 2026	Director	Dageville Benoit	March 9, 2026	Sold	2,637	180.48	475.9K
March 11, 2026	Executive	Ho Emily	March 9, 2026	Sold	275	180.48	49.6K
March 11, 2026	Executive	ROBINS BRIAN G	March 9, 2026	Sold	4,475	180.48	807.6K
March 11, 2026	Director	Slootman Frank	March 10, 2026	Sold	2,042	182.44	372.5K
March 11, 2026	Director	Ramaswamy Sridhar	March 9, 2026	Sold	13,300	180.48	2.39M
March 11, 2026	Director	Slootman Frank	March 9, 2026	Sold	729	180.48	131.6K
March 11, 2026	Director	Dageville Benoit	March 10, 2026	Sold	4,183	182.44	763.1K
March 11, 2026	Executive	Kleinerman Christian	March 10, 2026	Sold	550	182.44	100.3K
March 11, 2026	Executive	Kleinerman Christian	March 9, 2026	Sold	8,092	180.48	1.46M

[Company Profile]

Snowflake Inc. was founded in Delaware on July 23, 2012. The company’s Cloud Data Platform is powered by an innovative technology for Data Cloud. The company’s platform enables customers to integrate 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 spanning storage, compute, and cloud services. The storage layer ingests large volumes of diverse structured and semi-structured data to create a unified data record. The compute layer provides dedicated resources, enabling users to access many common datasets for many use cases simultaneously without latency. The cloud services layer intelligently optimizes the performance requirements for each use case without requiring management. This architecture is built on three major public clouds deployed across 22 regions worldwide. These deployments are connected to create the company’s single Cloud Data Platform, providing a consistent global user experience. The company’s platform supports a wide range of use cases that help customers achieve their most important business goals, including data engineering, data lakes, data warehouses, data science, data applications, and data sharing.

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