Albert Dacosta Net Worth
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Albert Dacosta has an estimated net worth of at least $64.3 million*, as of April 16, 2025. They own 3.4 million shares of FNA stock. They have sold 1.2 million shares of FNA stock since 2021, for an estimated $20.2 million.
Albert Dacosta $FNA SEC Form 4 Insider Trading
Albert Dacosta has filed a total of 8 insider trades in $FNA since 2021. Their most recent trade was a purchase of 28,000 shares, made on Mar 15, 2024. Their largest trade was a sale of 500,000 shares, made on Jan 30, 2023. We estimate that they now own 3.4 million shares of $FNA, worth an estimated $44.1 million.
Insider Trading at $FNA
There have been a total of 119 insider trades reported at $FNA since 2021, with 58,500 shares purchased and 8.3 million shares sold. The most active insider traders in $FNA stock have been Albert Dacosta, Matthew Jarboe, and Frank S. Bono. The most recent trade was a sale of 1.0 million shares reported by Partners, LLC MVM (None), made on Mar 13, 2025.
History of Insider Stock Trades by Albert Dacosta
| Company Ticker | Purchase / Sale | Shares | Date | Disclosed (EST) |
|---|---|---|---|---|
FNA
|
Purchase | 28,000 | Mar 15, 2024 | March 18, 2024, 5:34 p.m. |
|
FNA
|
Purchase | 30,500 | Nov 10, 2023 | Nov. 13, 2023, 9 a.m. |
|
FNA
|
Sale | 75,000 | Feb 17, 2023 | Feb. 22, 2023, 6:06 p.m. |
|
FNA
|
Sale | 75,000 | Feb 17, 2023 | Feb. 22, 2023, 6:06 p.m. |
|
FNA
|
Sale | 500,000 | Jan 30, 2023 | Feb. 1, 2023, 5:50 p.m. |
|
FNA
|
Sale | 500,000 | Jan 30, 2023 | Feb. 1, 2023, 5:50 p.m. |
|
FNA
|
Sale | 30,000 | Dec 01, 2022 | Dec. 2, 2022, 8:19 p.m. |
|
FNA
|
Sale | 30,000 | Sep 08, 2022 | Sept. 9, 2022, 5:09 p.m. |
$FNA Executives and Stock Owners with Insider Trades
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Albert Dacosta, See Remarks
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Matthew Jarboe, Chief Commercial Officer
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Frank S. Bono, Chief Technology Officer
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Albert Dacosta, 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.