Skip to Main Content
Insider Trading

Last Updated: 1 day, 22 hours ago

Amit Walia has an estimated net worth of at least $63.9 million*, as of April 30, 2025. They own 2.7 million shares of INFA stock. They have sold 556,924 shares of INFA stock since 2021, for an estimated $12.6 million.

Amit Walia $INFA SEC Form 4 Insider Trading

Amit Walia has filed a total of 11 insider trades in $INFA since 2021. Their most recent trade was a sale of 700 shares, made on Feb 15, 2024. Their largest trade was a sale of 212,633 shares, made on Sep 07, 2023. We estimate that they now own 2.7 million shares of $INFA, worth an estimated $51.2 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 Amit Walia

Company Ticker Purchase / Sale Shares Date Disclosed (EST)
INFA logo INFA Sale 700 Feb 15, 2024 Feb. 16, 2024, 9:03 p.m.
INFA logo INFA Sale 11,715 Feb 15, 2024 Feb. 16, 2024, 9:03 p.m.
INFA logo INFA Sale 73,581 Feb 15, 2024 Feb. 16, 2024, 9:03 p.m.
INFA logo INFA Sale 64,417 Nov 15, 2023 Nov. 17, 2023, 5:11 p.m.
INFA logo INFA Sale 212,633 Sep 07, 2023 Sept. 8, 2023, 6:33 p.m.
INFA logo INFA Sale 50,000 Sep 08, 2023 Sept. 8, 2023, 6:33 p.m.
INFA logo INFA Sale 86,720 Feb 15, 2023 Feb. 17, 2023, 9:23 p.m.
INFA logo INFA Sale 16,481 Nov 15, 2022 Nov. 17, 2022, 8:21 p.m.
INFA logo INFA Sale 16,482 Aug 16, 2022 Aug. 18, 2022, 4:12 p.m.
INFA logo INFA Sale 11,757 May 17, 2022 May 19, 2022, 4:39 p.m.
INFA logo INFA Sale 12,438 Mar 03, 2022 March 7, 2022, 5:40 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.