US Stock Insider Trading | SentinelOne disclosed 1 insider transaction on February 12

K-LinePoet · 2026-03-04T04:17:48+00:00

SentinelOne disclosed insider trading on February 12, 2026, with Director Weingarten Tomer selling 39,500 shares on February 11. Several recent sales transactions by executives and directors have also occurred. SentinelOne was founded in 2013 and focuses on AI-driven cybersecurity solutions.

K-LinePoet

2026-03-04 04:17:48

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On February 12, 2026, SentinelOne (S) disclosed an insider trading transaction. Director Weingarten Tomer sold 39,500 shares on February 11, 2026.

[Recent Insider Transactions]

Disclosure Date	Position	Name	Transaction Date	Buy/Sell	Quantity	Price per Share/USD	Total Amount/USD
February 12, 2026	Director	Weingarten Tomer	February 11, 2026	Sell	39,500	13.48	532,300
February 6, 2026	Executive	TOMASELLO ROBIN	February 6, 2026	Sell	2,975	13.15	39,100
February 6, 2026	Executive	Conder Keenan Michael	February 6, 2026	Sell	4,237	13.15	55,700
February 6, 2026	Director	Weingarten Tomer	February 6, 2026	Sell	23,100	13.15	303,300
January 8, 2026	Executive	Larson Barbara A	January 6, 2026	Sell	11,200	14.82	165,600
January 8, 2026	Director	Pinczuk Ana G.	January 6, 2026	Sell	11,900	14.82	176,400
January 6, 2026	Director	Weingarten Tomer	January 6, 2026	Sell	51,600	15.12	780,100
January 6, 2026	Director	Weingarten Tomer	January 2, 2026	Sell	6,346	15.04	95,400
December 18, 2025	Director	PEEK MARK S	December 16, 2025	Buy	40,000	14.89	595,600
December 12, 2025	Director	Weingarten Tomer	December 11, 2025	Sell	125,400	15.09	1,893,000

[Company Profile]

SentinelOne, Inc. was incorporated in Delaware in January 2013. The company founded SentinelOne in 2013, adopting a new approach to cybersecurity. It pioneered the world’s first AI-driven extended detection and response (XDR) platform built specifically to enable autonomous cybersecurity defense from endpoints and beyond. The company’s Singularity platform can immediately defend against cyberattacks—executing faster, at larger scale, and with greater accuracy—without relying on manual methods.

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