Jeff Epstein Net Worth
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Jeff Epstein has an estimated net worth of at least $31.0 million*, as of July 2, 2025. They own 1.2 million shares of AVPT stock. They have sold 570,000 shares of AVPT stock since 2021, for an estimated $9.4 million.
Jeff Epstein $AVPT SEC Form 4 Insider Trading
Jeff Epstein has filed a total of 1 insider trades in $AVPT since 2021. Their most recent trade was a sale of 500,000 shares, made on Jun 02, 2025. Their largest trade was a sale of 500,000 shares, made on Jun 02, 2025. We estimate that they now own 1.2 million shares of $AVPT, worth an estimated $21.7 million.
Insider Trading at $AVPT
There have been a total of 63 insider trades reported at $AVPT since 2021, with 197,000 shares purchased and 22.5 million shares sold. The most active insider traders in $AVPT stock have been Brian Michael Brown, James Caci, and Tianyi Jiang. The most recent trade was a sale of 35,000 shares reported by Brian Michael Brown (Chief Legal Officer), made on Jun 23, 2025.
History of Insider Stock Trades by Jeff Epstein
| Company Ticker | Purchase / Sale | Shares | Date | Disclosed (EST) |
|---|---|---|---|---|
AVPT
|
Sale | 500,000 | Jun 02, 2025 | June 4, 2025, 4:02 p.m. |
BASE
|
Sale | 10,000 | Dec 02, 2024 | Dec. 4, 2024, 5:33 p.m. |
|
BASE
|
Sale | 32,343 | Nov 19, 2024 | Nov. 21, 2024, 5:34 p.m. |
|
BASE
|
Sale | 7,657 | Nov 13, 2024 | Nov. 15, 2024, 5:18 p.m. |
|
BASE
|
Sale | 12,723 | Jul 25, 2024 | July 29, 2024, 5:15 p.m. |
|
BASE
|
Sale | 7,277 | Jul 26, 2024 | July 29, 2024, 5:15 p.m. |
$AVPT Executives and Stock Owners with Insider Trades
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Brian Michael Brown, Chief Legal Officer
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James Caci, Chief Financial Officer
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Tianyi Jiang, Chief Executive Officer
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Sophia Wu, Chief Accounting Officer
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Xunkai Gong, Executive Chairman
*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.