Skip to Main Content
Insider Trading

Daniel A Simkowitz Net Worth

Track Major Insider Updates On X/Twitter

Last Updated: 2 days, 1 hour ago

Daniel A Simkowitz has an estimated net worth of at least $73.9 million*, as of April 23, 2025. They own 454,866 shares of MS stock. They have sold 200,773 shares of MS stock since 2021, for an estimated $21.3 million.

Daniel A Simkowitz $MS SEC Form 4 Insider Trading

Daniel A Simkowitz has filed a total of 9 insider trades in $MS since 2021. Their most recent trade was a sale of 22,111 shares, made on Jan 21, 2025. Their largest trade was a sale of 40,000 shares, made on Jul 17, 2024. We estimate that they now own 454,866 shares of $MS, worth an estimated $52.6 million.



Insider Trading at $MS

There have been a total of 71 insider trades reported at $MS since 2021, with 25,000 shares purchased and 2.2 million shares sold. The most active insider traders in $MS stock have been James P Gorman, Andrew M Saperstein, and Raja Akram. The most recent trade was a sale of 10,068 shares reported by ERIC F GROSSMAN (Chief Legal/Admin Officer), made on Apr 15, 2025.



History of Insider Stock Trades by Daniel A Simkowitz

Company Ticker Purchase / Sale Shares Date Disclosed (EST)
MS logo MS Sale 22,111 Jan 21, 2025 Jan. 23, 2025, 5:12 p.m.
MS logo MS Sale 14,520 Jan 21, 2025 Jan. 23, 2025, 5:12 p.m.
MS logo MS Sale 40,000 Jul 17, 2024 July 19, 2024, 4:28 p.m.
MS logo MS Sale 37,608 Jul 20, 2023 July 21, 2023, 4:18 p.m.
MS logo MS Sale 15,133 Jan 30, 2023 Feb. 1, 2023, 5:37 p.m.
MS logo MS Sale 8,077 Jan 31, 2023 Feb. 1, 2023, 5:37 p.m.
MS logo MS Sale 39,238 Jan 18, 2023 Jan. 20, 2023, 5:28 p.m.
MS logo MS Sale 5,672 Jan 18, 2023 Jan. 20, 2023, 5:28 p.m.
MS logo MS Sale 18,414 Jan 31, 2022 Feb. 2, 2022, 5:12 p.m.




$MS 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.