Skip to Main Content
Insider Trading

Last Updated: 1 week, 1 day ago

Tyler Wall has an estimated net worth of at least $12.4 million*, as of Dec. 18, 2024. They own 23,371 shares of NTNX stock. They have sold 271,485 shares of NTNX stock since 2021, for an estimated $10.9 million.

Tyler Wall $NTNX SEC Form 4 Insider Trading

Tyler Wall has filed a total of 13 insider trades in $NTNX since 2021. Their most recent trade was a sale of 15,000 shares, made on Mar 21, 2024. Their largest trade was a sale of 60,000 shares, made on Oct 06, 2021. We estimate that they now own 23,371 shares of $NTNX, worth an estimated $1.5 million.



Insider Trading at $NTNX

There have been a total of 94 insider trades reported at $NTNX since 2021, with 0 shares purchased and 2.3 million shares sold. The most active insider traders in $NTNX stock have been Rajiv Ramaswami, David Sangster, and Rukmini Sivaraman. The most recent trade was a sale of 6,060 shares reported by Virginia Gambale (None), made on Dec 23, 2024.



History of Insider Stock Trades by Tyler Wall

Company Ticker Purchase / Sale Shares Date Disclosed (EST)
NTNX Sale 15,000 Mar 21, 2024 March 25, 2024, 4:14 p.m.
NTNX Sale 19,721 Mar 01, 2024 March 5, 2024, 6:58 p.m.
NTNX Sale 35,000 Dec 18, 2023 Dec. 18, 2023, 8:18 p.m.
NTNX Sale 35,000 Oct 10, 2023 Oct. 11, 2023, 5:03 p.m.
NTNX Sale 31,695 Sep 18, 2023 Sept. 20, 2023, 8:13 p.m.
NTNX Sale 9,728 Jun 16, 2023 June 20, 2023, 8:27 p.m.
NTNX Sale 9,906 Dec 16, 2022 Dec. 20, 2022, 9:45 p.m.
NTNX Sale 7,243 Sep 16, 2022 Sept. 19, 2022, 6:08 p.m.
NTNX Sale 4,808 Jun 16, 2022 June 17, 2022, 6:44 p.m.
NTNX Sale 17,046 Dec 16, 2021 Dec. 20, 2021, 10 p.m.
NTNX Sale 60,000 Oct 06, 2021 Oct. 5, 2021, 8 p.m.
NTNX Sale 15,282 Sep 16, 2021 Sept. 16, 2021, 8 p.m.
NTNX Sale 11,056 Jun 16, 2021 June 20, 2021, 8 p.m.




$NTNX Executives and Stock Owners with Insider Trades



*This is only based off of information found in SEC filings, and may not reflect actual net worth. There may also be inaccuracies due to privately holdings filing errors, parsing errors, accidental double-counting of shares, incorrect classification of indirectly owned shares, sales prior to dataset start date, or any other number of issues.