Raymond Nobu Chang Net Worth
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Raymond Nobu Chang has an estimated net worth of at least $17.9 million*, as of Oct. 24, 2024. They own 105,263 shares of AGFY stock. They have sold 462,711 shares of AGFY stock since 2021, for an estimated $-2.3 million.
Raymond Nobu Chang $AGFY SEC Form 4 Insider Trading
Raymond Nobu Chang has filed a total of 8 insider trades in $AGFY since 2021. Their most recent trade was a sale of 357,410 shares, made on Nov 05, 2024. Their largest trade was a purchase of 2.3 million shares, made on Dec 20, 2022. We estimate that they now own 105,263 shares of $AGFY, worth an estimated $20.3 million.
Insider Trading at $AGFY
There have been a total of 42 insider trades reported at $AGFY since 2021, with 2.5 million shares purchased and 687,776 shares sold. The most active insider traders in $AGFY stock have been David Aaron Kessler, Brian Towns, and Raymond Nobu Chang. The most recent trade was a sale of 1,125 shares reported by Brian Towns (EVP - Extraction), made on Dec 03, 2024.
History of Insider Stock Trades by Raymond Nobu Chang
Company Ticker | Purchase / Sale | Shares | Date | Disclosed (EST) |
---|---|---|---|---|
AGFY | Sale | 357,410 | Nov 05, 2024 | Nov. 7, 2024, 10:55 p.m. |
AGFY | Sale | 105,263 | Nov 05, 2024 | Nov. 7, 2024, 10:55 p.m. |
AGFY | Sale | 38 | Nov 05, 2024 | Nov. 7, 2024, 10:55 p.m. |
AGFY | Purchase | 2.3 million | Dec 20, 2022 | Dec. 21, 2022, 5:30 p.m. |
AGFY | Purchase | 5,000 | May 20, 2022 | May 23, 2022, 6:04 p.m. |
AGFY | Purchase | 10,000 | May 16, 2022 | May 17, 2022, 9:02 p.m. |
AGFY | Purchase | 34,600 | May 13, 2022 | May 17, 2022, 9:02 p.m. |
AGFY | Purchase | 36,232 | Jan 28, 2022 | Feb. 2, 2022, 9:48 p.m. |
$AGFY Executives and Stock Owners with Insider Trades
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David Aaron Kessler, Chief Science Officer
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Brian Towns, EVP - Extraction
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Raymond Nobu Chang, CEO and Chairman
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Benjamin Kovler, Interim CEO
*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.