Insider Trading

Dawn E Hudson Net Worth

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Last Updated: 19 hours ago

Dawn E Hudson has an estimated net worth of at least $108.1 million*, as of yesterday. They own 457,088 shares of NVDA stock. They have sold 83,076 shares of NVDA stock since 2021, for an estimated $42.0 million.

Dawn E Hudson $NVDA SEC Form 4 Insider Trading

Dawn E Hudson has filed a total of 11 insider trades in $NVDA since 2021. Their most recent trade was a sale of 5,000 shares, made on May 29, 2024. Their largest trade was a sale of 11,000 shares, made on Nov 28, 2023. We estimate that they now own 457,088 shares of $NVDA, worth an estimated $66.1 million.



Insider Trading at $NVDA

There have been a total of 926 insider trades reported at $NVDA since 2021, with 0 shares purchased and 15.2 million shares sold. The most active insider traders in $NVDA stock have been Jen Hsun Huang, Debora Shoquist, and Colette Kress. The most recent trade was a sale of 155,000 shares reported by MARK A STEVENS (None), made on Oct 09, 2024.



History of Insider Stock Trades by Dawn E Hudson

Company Ticker Purchase / Sale Shares Date Disclosed (EST)
NVDA Sale 5,000 May 29, 2024 May 31, 2024, 4:03 p.m.
NVDA Sale 5,000 May 28, 2024 May 29, 2024, 4:13 p.m.
NVDA Sale 1,446 May 24, 2024 May 29, 2024, 4:13 p.m.
NVDA Sale 3,851 May 24, 2024 May 29, 2024, 4:13 p.m.
NVDA Sale 9,703 May 24, 2024 May 29, 2024, 4:13 p.m.
NVDA Sale 1,000 Dec 15, 2023 Dec. 19, 2023, 6:57 p.m.
NVDA Sale 11,000 Nov 28, 2023 Nov. 30, 2023, 6:35 p.m.
NVDA Sale 3,500 Jun 07, 2023 June 9, 2023, 4:12 p.m.
NVDA Sale 5,000 Mar 30, 2023 March 31, 2023, 6:40 p.m.
IPG Sale 5,950 Mar 15, 2023 March 16, 2023, 5:23 p.m.
NVDA Sale 7,500 Feb 24, 2023 Feb. 28, 2023, 5:59 p.m.
IPG Sale 18,376 May 09, 2022 May 8, 2022, 8 p.m.
NVDA Sale 5,750 Jun 28, 2021 June 28, 2021, 8 p.m.




$NVDA 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.