Dana Aftab Net Worth
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Dana Aftab has an estimated net worth of at least $34.5 million*, as of today. They own 699,771 shares of EXEL stock. They have sold 328,118 shares of EXEL stock since 2021, for an estimated $8.9 million.
Dana Aftab $EXEL SEC Form 4 Insider Trading
Dana Aftab has filed a total of 8 insider trades in $EXEL since 2021. Their most recent trade was a sale of 26,987 shares, made on Feb 24, 2025. Their largest trade was a sale of 96,986 shares, made on Nov 05, 2024. We estimate that they now own 699,771 shares of $EXEL, worth an estimated $25.6 million.
Insider Trading at $EXEL
There have been a total of 92 insider trades reported at $EXEL since 2021, with 735,409 shares purchased and 2.9 million shares sold. The most active insider traders in $EXEL stock have been Patrick J. Haley, Jeffrey Hessekiel, and Dana Aftab. The most recent trade was a sale of 10,000 shares reported by Patrick J. Haley (EVP, Commercial), made on Mar 03, 2025.
History of Insider Stock Trades by Dana Aftab
Company Ticker | Purchase / Sale | Shares | Date | Disclosed (EST) |
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Sale | 26,987 | Feb 24, 2025 | Feb. 26, 2025, 9 p.m. |
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Sale | 96,986 | Nov 05, 2024 | Nov. 7, 2024, 8:44 p.m. |
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Sale | 1,162 | Oct 30, 2024 | Nov. 1, 2024, 6:43 p.m. |
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Sale | 20,883 | Aug 12, 2024 | Aug. 14, 2024, 7:12 p.m. |
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Sale | 95,000 | Aug 07, 2024 | Aug. 9, 2024, 7:32 p.m. |
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Sale | 4,600 | Aug 30, 2023 | Sept. 1, 2023, 8:15 p.m. |
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Sale | 82,490 | Feb 28, 2023 | March 1, 2023, 8:56 p.m. |
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Sale | 10 | Feb 27, 2023 | March 1, 2023, 8:56 p.m. |
$EXEL Executives and Stock Owners with Insider Trades
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Patrick J. Haley, EVP, Commercial
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Jeffrey Hessekiel, EVP, General Counsel & Sec
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Dana Aftab, CSO/EVP Disc & Trans Research
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Peter Lamb, EVP, Scientific Strategy & CSO
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Christopher J. Senner, EVP and CFO
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Jeffrey Hessekiel, EVP & General Counsel
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Jeffrey Hessekiel, EVP and General Counsel
*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.