Insider Trading

Libor Michalek Net Worth

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Last Updated: 23 hours ago

Libor Michalek has an estimated net worth of at least $101.6 million*, as of yesterday. They own 1.0 million shares of AFRM stock. They have sold 345,739 shares of AFRM stock since 2021, for an estimated $36.1 million.

Libor Michalek $AFRM SEC Form 4 Insider Trading

Libor Michalek has filed a total of 13 insider trades in $AFRM since 2021. Their most recent trade was a sale of 100,000 shares, made on Nov 18, 2024. Their largest trade was a sale of 100,000 shares, made on Nov 18, 2024. We estimate that they now own 1.0 million shares of $AFRM, worth an estimated $65.4 million.



Insider Trading at $AFRM

There have been a total of 160 insider trades reported at $AFRM since 2021, with 3.8 million shares purchased and 4.7 million shares sold. The most active insider traders in $AFRM stock have been Katherine Adkins, Michael Linford, and Libor Michalek. The most recent trade was a sale of 11,048 shares reported by Libor Michalek (President), made on Nov 19, 2024.



History of Insider Stock Trades by Libor Michalek

Company Ticker Purchase / Sale Shares Date Disclosed (EST)
AFRM Sale 100,000 Nov 18, 2024 Nov. 20, 2024, 7:03 p.m.
AFRM Sale 11,048 Nov 19, 2024 Nov. 20, 2024, 7:03 p.m.
AFRM Sale 11,329 Nov 01, 2021 Nov. 2, 2021, 8 p.m.
AFRM Sale 40,400 Nov 01, 2021 Nov. 2, 2021, 8 p.m.
AFRM Sale 63,455 Nov 01, 2021 Nov. 2, 2021, 8 p.m.
AFRM Sale 71,734 Nov 01, 2021 Nov. 2, 2021, 8 p.m.
AFRM Sale 27,950 Nov 01, 2021 Nov. 2, 2021, 8 p.m.
AFRM Sale 4,900 Nov 01, 2021 Nov. 2, 2021, 8 p.m.
AFRM Sale 1,710 Nov 01, 2021 Nov. 2, 2021, 8 p.m.
AFRM Sale 3,563 Nov 01, 2021 Nov. 2, 2021, 8 p.m.
AFRM Sale 7,900 Nov 01, 2021 Nov. 2, 2021, 8 p.m.
AFRM Sale 100 Nov 01, 2021 Nov. 2, 2021, 8 p.m.
AFRM Sale 1,650 Nov 01, 2021 Nov. 2, 2021, 8 p.m.




$AFRM 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.