Curtis Liu Net Worth
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Curtis Liu has an estimated net worth of at least $24.5 million*, as of today. They own 1.0 million shares of AMPL stock. They have sold 403,821 shares of AMPL stock since 2021, for an estimated $16.0 million.
Curtis Liu $AMPL SEC Form 4 Insider Trading
Curtis Liu has filed a total of 6 insider trades in $AMPL since 2021. Their most recent trade was a sale of 22,201 shares, made on Jun 01, 2026. Their largest trade was a sale of 158,772 shares, made on Sep 28, 2021. We estimate that they now own 1.0 million shares of $AMPL, worth an estimated $8.5 million.
Insider Trading at $AMPL
There have been a total of 302 insider trades reported at $AMPL since 2021, with 5.2 million shares purchased and 9.1 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 7,453 shares reported by Catherine Wong (None), made on Jun 12, 2026.
History of Insider Stock Trades by Curtis Liu
| Company Ticker | Purchase / Sale | Shares | Date | Disclosed (EST) |
|---|---|---|---|---|
AMPL
|
Sale | 22,201 | Jun 01, 2026 | June 3, 2026, 5:17 p.m. |
AMPL
|
Sale | 17,586 | May 04, 2026 | May 6, 2026, 4:52 p.m. |
AMPL
|
Sale | 33,201 | Mar 06, 2026 | March 10, 2026, 4:54 p.m. |
AMPL
|
Sale | 30,061 | Mar 05, 2026 | March 9, 2026, 4:44 p.m. |
AMPL
|
Sale | 158,772 | Sep 28, 2021 | Sept. 29, 2021, 8 p.m. |
AMPL
|
Sale | 142,000 | Sep 28, 2021 | Sept. 29, 2021, 8 p.m. |
$AMPL Executives and Stock Owners with Insider Trades
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Jennifer L. Johnson, See remarks
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Matthew Heinz, Chief Revenue Officer
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Ninos Sarkis, Chief Accounting Officer
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Hoang Vuong, Chief Financial Officer
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Curtis Liu, Chief Technology Officer
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Spenser Skates, Chief Executive Officer
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Thomas Neergaard Hansen, President
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Andrew Casey, Chief Financial Officer
*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.