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Insider Trading

Armando Lins Netto Net Worth

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Last Updated: 1 day, 10 hours ago

Armando Lins Netto has an estimated net worth of at least $81.8 million*, as of June 24, 2026. They own 11,787 shares of CPAY stock. They have sold 226,523 shares of CPAY stock since 2021, for an estimated $77.8 million.

Armando Lins Netto $CPAY SEC Form 4 Insider Trading

Armando Lins Netto has filed a total of 9 insider trades in $CPAY since 2021. Their most recent trade was a sale of 70,476 shares, made on Jun 15, 2026. Their largest trade was a sale of 70,476 shares, made on Jun 15, 2026. We estimate that they now own 11,787 shares of $CPAY, worth an estimated $4.1 million.



Insider Trading at $CPAY

There have been a total of 22 insider trades reported at $CPAY since 2021, with 8,000 shares purchased and 445,999 shares sold. The most active insider traders in $CPAY stock have been Alissa B Vickery, Armando Lins Netto, and Armando Lins Netto. The most recent trade was a sale of 70,476 shares reported by Armando Lins Netto (GroupPresident Brazil&USVehPmt), made on Jun 15, 2026.



History of Insider Stock Trades by Armando Lins Netto

Company Ticker Purchase / Sale Shares Date Disclosed (EST)
CPAY logo CPAY Sale 70,476 Jun 15, 2026 June 16, 2026, 8:02 p.m.
CPAY logo CPAY Sale 4,560 Jun 11, 2026 June 12, 2026, 4:09 p.m.
CPAY logo CPAY Sale 418 May 27, 2026 May 29, 2026, 4:18 p.m.
CPAY logo CPAY Sale 14,089 May 28, 2026 May 29, 2026, 4:18 p.m.
CPAY logo CPAY Sale 2,694 May 29, 2026 May 29, 2026, 4:18 p.m.
CPAY logo CPAY Sale 64,415 Nov 18, 2024 Nov. 20, 2024, 5:33 p.m.
CPAY logo CPAY Sale 5,760 Nov 19, 2024 Nov. 20, 2024, 5:33 p.m.
CPAY logo CPAY Sale 48,500 Sep 10, 2024 Sept. 11, 2024, 4:10 p.m.
CPAY logo CPAY Sale 15,611 Sep 09, 2024 Sept. 11, 2024, 4:10 p.m.




$CPAY Executives and Stock Owners with Insider Trades



*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.