Insider Trading

Jennifer L. Johnson Net Worth

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Last Updated: 1 week, 1 day ago

Jennifer L. Johnson has an estimated net worth of at least $21.8 million*, as of Dec. 18, 2024. They own 0 shares of AMPL stock. They have sold 405,780 shares of AMPL stock since 2021, for an estimated $21.8 million.

Jennifer L. Johnson $AMPL SEC Form 4 Insider Trading

Jennifer L. Johnson has filed a total of 12 insider trades in $AMPL since 2021. Their most recent trade was a sale of 2,344 shares, made on Dec 30, 2021. Their largest trade was a sale of 233,077 shares, made on Sep 30, 2021. We estimate that they now own 0 shares of $AMPL, worth an estimated $0.



Insider Trading at $AMPL

There have been a total of 278 insider trades reported at $AMPL since 2021, with 5.1 million shares purchased and 8.4 million shares sold. The most active insider traders in $AMPL stock have been Jennifer L. Johnson, Matthew Heinz, and Ninos Sarkis. The most recent trade was a sale of 6,437 shares reported by Eric Vishria (None), made on Dec 13, 2024.



History of Insider Stock Trades by Jennifer L. Johnson

Company Ticker Purchase / Sale Shares Date Disclosed (EST)
AMPL Sale 2,344 Dec 30, 2021 Jan. 3, 2022, 9:17 p.m.
AMPL Sale 12,966 Dec 22, 2021 Jan. 3, 2022, 9:17 p.m.
AMPL Sale 36,721 Dec 22, 2021 Jan. 3, 2022, 9:17 p.m.
AMPL Sale 5,100 Dec 30, 2021 Jan. 3, 2022, 9:17 p.m.
AMPL Sale 9,245 Dec 30, 2021 Jan. 3, 2022, 9:17 p.m.
AMPL Sale 8,154 Dec 30, 2021 Jan. 3, 2022, 9:17 p.m.
AMPL Sale 17,400 Sep 30, 2021 Sept. 30, 2021, 8 p.m.
AMPL Sale 233,077 Sep 30, 2021 Sept. 30, 2021, 8 p.m.
AMPL Sale 16,472 Oct 01, 2021 Sept. 30, 2021, 8 p.m.
AMPL Sale 16,804 Oct 01, 2021 Sept. 30, 2021, 8 p.m.
AMPL Sale 14,882 Oct 01, 2021 Sept. 30, 2021, 8 p.m.
AMPL Sale 32,615 Oct 01, 2021 Sept. 30, 2021, 8 p.m.




$AMPL 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.