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Insider Trading

Walter Stanley Berman Net Worth

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Last Updated: 5 days, 11 hours ago

Walter Stanley Berman has an estimated net worth of at least $30.8 million*, as of Jan. 8, 2025. They own 6,409 shares of AMP stock. They have sold 74,146 shares of AMP stock since 2021, for an estimated $27.5 million.

Walter Stanley Berman $AMP SEC Form 4 Insider Trading

Walter Stanley Berman has filed a total of 12 insider trades in $AMP since 2021. Their most recent trade was a sale of 5,463 shares, made on Nov 11, 2024. Their largest trade was a sale of 11,258 shares, made on Feb 07, 2024. We estimate that they now own 6,409 shares of $AMP, worth an estimated $3.4 million.



Insider Trading at $AMP

There have been a total of 76 insider trades reported at $AMP since 2021, with 0 shares purchased and 483,649 shares sold. The most active insider traders in $AMP stock have been James M Cracchiolo, Walter Stanley Berman, and Joseph Edward Sweeney. The most recent trade was a sale of 3,192 shares reported by Walter Stanley Berman (EXECUTIVE VP AND CFO), made on Nov 11, 2024.



History of Insider Stock Trades by Walter Stanley Berman

Company Ticker Purchase / Sale Shares Date Disclosed (EST)
AMP Sale 5,463 Nov 11, 2024 Nov. 13, 2024, 7:07 p.m.
AMP Sale 3,192 Nov 11, 2024 Nov. 13, 2024, 7:07 p.m.
AMP Sale 11,258 Feb 07, 2024 Feb. 9, 2024, 9:21 p.m.
AMP Sale 2,088 Feb 07, 2024 Feb. 9, 2024, 9:21 p.m.
AMP Sale 6,409 Dec 13, 2023 Dec. 15, 2023, 5:54 p.m.
AMP Sale 6,730 Aug 04, 2023 Aug. 8, 2023, 7:16 p.m.
AMP Sale 6,312 Aug 04, 2023 Aug. 8, 2023, 7:16 p.m.
AMP Sale 8,700 Nov 15, 2022 Nov. 17, 2022, 6:20 p.m.
AMP Sale 3,283 Nov 15, 2022 Nov. 17, 2022, 6:20 p.m.
AMP Sale 8,711 Mar 28, 2022 March 30, 2022, 4:16 p.m.
AMP Sale 5,000 Feb 07, 2022 Feb. 9, 2022, 7:13 p.m.
AMP Sale 7,000 Feb 09, 2022 Feb. 9, 2022, 7:13 p.m.




$AMP 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.