Insider Trading

Rukmini Sivaraman Net Worth

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Last Updated: 1 week, 1 day ago

Rukmini Sivaraman has an estimated net worth of at least $21.3 million*, as of Dec. 18, 2024. They own 190,882 shares of NTNX stock. They have sold 182,150 shares of NTNX stock since 2021, for an estimated $8.7 million.

Rukmini Sivaraman $NTNX SEC Form 4 Insider Trading

Rukmini Sivaraman has filed a total of 13 insider trades in $NTNX since 2021. Their most recent trade was a sale of 3,909 shares, made on Dec 17, 2024. Their largest trade was a sale of 46,005 shares, made on Apr 10, 2024. We estimate that they now own 190,882 shares of $NTNX, worth an estimated $12.6 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 Rukmini Sivaraman

Company Ticker Purchase / Sale Shares Date Disclosed (EST)
NTNX Sale 3,909 Dec 17, 2024 Dec. 17, 2024, 6:37 p.m.
NTNX Sale 7,901 Dec 17, 2024 Dec. 17, 2024, 6:37 p.m.
NTNX Sale 3,948 Sep 17, 2024 Sept. 17, 2024, 6:48 p.m.
NTNX Sale 20,368 Sep 17, 2024 Sept. 17, 2024, 6:48 p.m.
NTNX Sale 419 Jun 18, 2024 June 18, 2024, 9:47 p.m.
NTNX Sale 12,147 Jun 18, 2024 June 18, 2024, 9:47 p.m.
NTNX Sale 7,024 Apr 10, 2024 April 11, 2024, 4:37 p.m.
NTNX Sale 46,005 Apr 10, 2024 April 11, 2024, 4:37 p.m.
NTNX Sale 38,170 Sep 18, 2023 Sept. 20, 2023, 8:13 p.m.
NTNX Sale 12,898 Jun 16, 2023 June 20, 2023, 8:28 p.m.
NTNX Sale 13,130 Dec 16, 2022 Dec. 20, 2022, 9:46 p.m.
NTNX Sale 11,148 Sep 16, 2022 Sept. 19, 2022, 6:09 p.m.
NTNX Sale 5,083 Jun 16, 2022 June 17, 2022, 6:47 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.