M. Gustavo Marturet Net Worth
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M. Gustavo Marturet has an estimated net worth of at least $14.3 million*, as of April 29, 2026. They own 620,695 shares of AMTB stock. They have sold 2,189 shares of AMTB stock since 2021, for an estimated $68,597.
M. Gustavo Marturet $AMTB SEC Form 4 Insider Trading
M. Gustavo Marturet has filed a total of 5 insider trades in $AMTB since 2021. Their most recent trade was a sale of 1,166 shares, made on Mar 14, 2022. Their largest trade was a sale of 1,166 shares, made on Mar 14, 2022. We estimate that they now own 620,695 shares of $AMTB, worth an estimated $14.2 million.
Insider Trading at $AMTB
There have been a total of 48 insider trades reported at $AMTB since 2021, with 20,701 shares purchased and 288,124 shares sold. The most active insider traders in $AMTB stock have been Gerald P Plush, Carlos Iafigliola, and Howard A. Levine. The most recent trade was a purchase of 885 shares reported by Carlos Iafigliola (See remarks), made on Apr 27, 2026.
History of Insider Stock Trades by M. Gustavo Marturet
| Company Ticker | Purchase / Sale | Shares | Date | Disclosed (EST) |
|---|---|---|---|---|
AMTB
|
Sale | 1,166 | Mar 14, 2022 | March 15, 2022, 5:52 p.m. |
|
AMTB
|
Sale | 538 | Mar 14, 2022 | March 15, 2022, 5:52 p.m. |
|
AMTB
|
Sale | 29 | Mar 14, 2022 | March 15, 2022, 5:52 p.m. |
|
AMTB
|
Sale | 440 | Mar 14, 2022 | March 15, 2022, 5:52 p.m. |
|
AMTB
|
Sale | 16 | Mar 14, 2022 | March 15, 2022, 5:52 p.m. |
$AMTB Executives and Stock Owners with Insider Trades
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Gerald P Plush, See remarks
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Carlos Iafigliola, See remarks
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Howard A. Levine, SEVP Head of Consumer Banking
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Howard A. Levine, See remarks
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Juan Esterripa, See remarks
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Silvio Marshall Martin, See remarks
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Armando Fleitas, EVP, Chief Accounting Officer
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Armando Fleitas, See remarks
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Carlos Iafigliola, SEVP Chief Operating Officer
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Gerald P Plush, Chairman, President & CEO
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Sharymar Calderon, EVP - Chief Financial Officer
*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.