Salman Hassan Khan Net Worth
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Salman Hassan Khan has an estimated net worth of at least $28.8 million*, as of June 11, 2025. They own 1.4 million shares of MARA stock. They have sold 168,333 shares of MARA stock since 2021, for an estimated $2.3 million.
Salman Hassan Khan $MARA SEC Form 4 Insider Trading
Salman Hassan Khan has filed a total of 8 insider trades in $MARA since 2021. Their most recent trade was a sale of 34,733 shares, made on Jun 12, 2025. Their largest trade was a sale of 34,733 shares, made on Jun 12, 2025. We estimate that they now own 1.4 million shares of $MARA, worth an estimated $26.5 million.
Insider Trading at $MARA
There have been a total of 43 insider trades reported at $MARA since 2021, with 115,424 shares purchased and 692,576 shares sold. The most active insider traders in $MARA stock have been Frederick G Thiel, Salman Hassan Khan, and Frederick G Thiel. The most recent trade was a sale of 34,733 shares reported by Salman Hassan Khan (Chief Financial Officer), made on Jun 12, 2025.
History of Insider Stock Trades by Salman Hassan Khan
| Company Ticker | Purchase / Sale | Shares | Date | Disclosed (EST) |
|---|---|---|---|---|
MARA
|
Sale | 34,733 | Jun 12, 2025 | June 13, 2025, 8:18 p.m. |
|
MARA
|
Sale | 16,700 | May 16, 2025 | May 20, 2025, 7:59 p.m. |
|
MARA
|
Sale | 33,400 | May 09, 2025 | May 13, 2025, 9 p.m. |
|
MARA
|
Sale | 16,700 | Mar 03, 2025 | March 4, 2025, 9:48 p.m. |
|
MARA
|
Sale | 16,700 | Dec 16, 2024 | Dec. 18, 2024, 7:45 p.m. |
|
MARA
|
Sale | 16,700 | Nov 18, 2024 | Nov. 20, 2024, 10 p.m. |
|
MARA
|
Sale | 16,700 | Oct 16, 2024 | Oct. 18, 2024, 5:42 p.m. |
|
MARA
|
Sale | 16,700 | Sep 16, 2024 | Sept. 20, 2024, 9:20 p.m. |
$MARA Executives and Stock Owners with Insider Trades
-
Frederick G Thiel, Chief Executive Officer
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Salman Hassan Khan, Chief Financial Officer
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Frederick G Thiel, CEO
-
Merrick D Okamoto, Executive Chairman
-
Zabi Nowaid, 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.