Jill Carroll Net Worth
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Jill Carroll has an estimated net worth of at least $210.7 million*, as of yesterday. They own 1.5 million shares of ACLX stock. They have sold 2.0 million shares of ACLX stock since 2021, for an estimated $78.3 million.
Jill Carroll $ACLX SEC Form 4 Insider Trading
Jill Carroll has filed a total of 8 insider trades in $ACLX since 2021. Their most recent trade was a sale of 504,263 shares, made on Mar 21, 2024. Their largest trade was a purchase of 1.6 million shares, made on Feb 08, 2022. We estimate that they now own 1.5 million shares of $ACLX, worth an estimated $132.4 million.
Insider Trading at $ACLX
There have been a total of 123 insider trades reported at $ACLX since 2021, with 6.1 million shares purchased and 3.7 million shares sold. The most active insider traders in $ACLX stock have been Christopher Heery, Christopher Heery, and Michelle Gilson. The most recent trade was a sale of 100 shares reported by Michelle Gilson (CHIEF FINANCIAL OFFICER), made on Nov 15, 2024.
History of Insider Stock Trades by Jill Carroll
Company Ticker | Purchase / Sale | Shares | Date | Disclosed (EST) |
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ACLX | Sale | 504,263 | Mar 21, 2024 | March 25, 2024, 5:30 p.m. |
ACLX | Sale | 504,263 | Dec 14, 2023 | Dec. 18, 2023, 5:47 p.m. |
ACLX | Sale | 315,164 | May 31, 2023 | June 2, 2023, 4:56 p.m. |
ACLX | Sale | 25,556 | Jun 01, 2023 | June 2, 2023, 4:56 p.m. |
ACLX | Sale | 631,932 | May 11, 2023 | May 15, 2023, 6:18 p.m. |
ACLX | Sale | 6,485 | May 11, 2023 | May 15, 2023, 6:18 p.m. |
ACLX | Purchase | 66,667 | Feb 08, 2022 | Feb. 9, 2022, 6:51 p.m. |
ACLX | Purchase | 1.6 million | Feb 08, 2022 | Feb. 9, 2022, 6:51 p.m. |
$ACLX Executives and Stock Owners with Insider Trades
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Christopher Heery, CHIEF MEDICAL OFFICER
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Christopher Heery, Chief Medical Officer
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Michelle Gilson, CHIEF FINANCIAL OFFICER
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Rami Elghandour, SEE REMARKS
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Michelle Gilson, Chief Financial Officer
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Rami Elghandour, See Remarks
*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.