Skip to Main Content
Insider Trading

Last Updated: 2 days, 3 hours ago

Marne L. Levine has an estimated net worth of at least $15.6 million*, as of March 12, 2025. They own 11,902 shares of META stock. They have sold 107,340 shares of META stock since 2021, for an estimated $8.2 million.

Marne L. Levine $META SEC Form 4 Insider Trading

Marne L. Levine has filed a total of 4 insider trades in $META since 2021. Their most recent trade was a sale of 3,969 shares, made on Feb 15, 2023. Their largest trade was a sale of 23,317 shares, made on Feb 07, 2023. We estimate that they now own 11,902 shares of $META, worth an estimated $7.4 million.



Insider Trading at $META

There have been a total of 4905 insider trades reported at $META since 2021, with 0 shares purchased and 8.5 million shares sold. The most active insider traders in $META stock have been Mark Zuckerberg, Jennifer Newstead, and Javier Olivan. The most recent trade was a sale of 921 shares reported by Jennifer Newstead (Chief Legal Officer), made on Mar 11, 2025.



History of Insider Stock Trades by Marne L. Levine

Company Ticker Purchase / Sale Shares Date Disclosed (EST)
META logo META Sale 3,969 Feb 15, 2023 Feb. 17, 2023, 8:13 p.m.
META logo META Sale 23,317 Feb 07, 2023 Feb. 9, 2023, 7:07 p.m.
META logo META Sale 10,254 Nov 15, 2022 Nov. 17, 2022, 10:16 p.m.
META logo META Sale 10,253 Aug 15, 2022 Aug. 17, 2022, 9:08 p.m.
FB logo FB Sale 3,710 May 31, 2022 June 2, 2022, 7:27 p.m.
FB logo FB Sale 9,273 May 23, 2022 May 25, 2022, 6:41 p.m.
FB logo FB Sale 7,553 May 16, 2022 May 17, 2022, 9:37 p.m.
FB logo FB Sale 10,252 May 15, 2022 May 17, 2022, 9:37 p.m.
FB logo FB Sale 9,571 Feb 15, 2022 Feb. 17, 2022, 8:57 p.m.
FB logo FB Sale 8,934 Nov 22, 2021 Nov. 24, 2021, 8:16 p.m.
FB logo FB Sale 10,254 Nov 15, 2021 Nov. 17, 2021, 9:17 p.m.




$META 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.