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Insider Trading

Last Updated: 2 months, 2 weeks ago

Eric F Brown has an estimated net worth of at least $10.6 million*, as of Feb. 12, 2025. They own 371,749 shares of INFA stock. They have sold 72,373 shares of INFA stock since 2021, for an estimated $1.3 million.

Eric F Brown $INFA SEC Form 4 Insider Trading

Eric F Brown has filed a total of 10 insider trades in $INFA since 2021. Their most recent trade was a sale of 28,826 shares, made on Nov 23, 2022. Their largest trade was a sale of 28,826 shares, made on Nov 23, 2022. We estimate that they now own 371,749 shares of $INFA, worth an estimated $9.3 million.



Insider Trading at $INFA

There have been a total of 115 insider trades reported at $INFA since 2021, with 0 shares purchased and 18.1 million shares sold. The most active insider traders in $INFA stock have been Ansa Sekharan, John Arthur Schweitzer, and Jitesh Ghai. The most recent trade was a sale of 11,503 shares reported by John Arthur Schweitzer (EVP & CHIEF REVENUE OFFICER), made on Apr 23, 2025.



History of Insider Stock Trades by Eric F Brown

Company Ticker Purchase / Sale Shares Date Disclosed (EST)
INFA logo INFA Sale 28,826 Nov 23, 2022 Nov. 28, 2022, 7:23 p.m.
INFA logo INFA Sale 6,615 Nov 28, 2022 Nov. 28, 2022, 7:23 p.m.
INFA logo INFA Sale 12,453 Nov 25, 2022 Nov. 28, 2022, 7:23 p.m.
INFA logo INFA Sale 4,320 Nov 21, 2022 Nov. 23, 2022, 6:28 p.m.
INFA logo INFA Sale 8,309 Nov 22, 2022 Nov. 23, 2022, 6:28 p.m.
INFA logo INFA Sale 2,520 Nov 15, 2022 Nov. 17, 2022, 8:23 p.m.
INFA logo INFA Sale 1,897 Nov 15, 2022 Nov. 17, 2022, 8:23 p.m.
INFA logo INFA Sale 3,941 Aug 16, 2022 Aug. 18, 2022, 4:13 p.m.
INFA logo INFA Sale 1,696 May 17, 2022 May 18, 2022, 8 p.m.
INFA logo INFA Sale 1,796 Mar 03, 2022 March 7, 2022, 5:36 p.m.




$INFA 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.