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Insider Trading

Last Updated: 3 days, 13 hours ago

James N Topper has an estimated net worth of at least $58.2 million*, as of June 4, 2025. They own 3.0 million shares of NAMS stock. They have sold 19 shares of NAMS stock since 2021, for an estimated $-290,947.

James N Topper $NAMS SEC Form 4 Insider Trading

James N Topper has filed a total of 3 insider trades in $NAMS since 2021. Their most recent trade was a purchase of 1,135 shares, made on Mar 26, 2025. Their largest trade was a purchase of 8,429 shares, made on Mar 26, 2024. We estimate that they now own 3.0 million shares of $NAMS, worth an estimated $58.5 million.



Insider Trading at $NAMS

There have been a total of 54 insider trades reported at $NAMS since 2021, with 29,673 shares purchased and 2.3 million shares sold. The most active insider traders in $NAMS stock have been Douglas F Kling, Mayur Ian Somaiya, and Michael H. Davidson. The most recent trade was a sale of 100,000 shares reported by Douglas F Kling (Chief Operating Officer), made on May 15, 2025.



History of Insider Stock Trades by James N Topper

Company Ticker Purchase / Sale Shares Date Disclosed (EST)
PHAT logo PHAT Purchase 3,780 May 21, 2025 May 23, 2025, 4:06 p.m.
PHAT logo PHAT Purchase 6,300 May 14, 2025 May 15, 2025, 4:17 p.m.
PHAT logo PHAT Purchase 1,120 May 13, 2025 May 15, 2025, 4:17 p.m.
PHAT logo PHAT Purchase 2,226 May 09, 2025 May 13, 2025, 4:13 p.m.
PHAT logo PHAT Purchase 33,376 May 09, 2025 May 13, 2025, 4:13 p.m.
PHAT logo PHAT Purchase 12,601 May 12, 2025 May 13, 2025, 4:13 p.m.
NAMS logo NAMS Purchase 1,135 Mar 26, 2025 March 28, 2025, 5:36 p.m.
NAMS logo NAMS Purchase 4,005 Mar 04, 2025 March 6, 2025, 6:32 p.m.
ALPN logo ALPN Sale 19 Apr 25, 2024 April 29, 2024, 4:32 p.m.
NAMS logo NAMS Purchase 8,429 Mar 26, 2024 March 28, 2024, 4:30 p.m.




$NAMS 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.