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Insider Trading

Ban Ryan Norris Mac Net Worth

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Last Updated: 3 months ago

Ban Ryan Norris Mac has an estimated net worth of at least $10.2 million*, as of Oct. 29, 2025. They own 332,679 shares of CFLT stock. They have sold 105,027 shares of CFLT stock since 2021, for an estimated $825,104.

Ban Ryan Norris Mac $CFLT SEC Form 4 Insider Trading

Ban Ryan Norris Mac has filed a total of 10 insider trades in $CFLT since 2021. Their most recent trade was a sale of 1,218 shares, made on Dec 22, 2025. Their largest trade was a sale of 44,114 shares, made on Dec 08, 2025. We estimate that they now own 332,679 shares of $CFLT, worth an estimated $9.3 million.



Insider Trading at $CFLT

There have been a total of 509 insider trades reported at $CFLT since 2021, with 1.1 million shares purchased and 25.4 million shares sold. The most active insider traders in $CFLT stock have been Edward Jay Kreps, Erica Schultz, and Erica Schultz. The most recent trade was a sale of 4,545 shares reported by Kong Phan (Chief Accounting Officer), made on Dec 22, 2025.



History of Insider Stock Trades by Ban Ryan Norris Mac

Company Ticker Purchase / Sale Shares Date Disclosed (EST)
CFLT logo CFLT Sale 1,218 Dec 22, 2025 Dec. 23, 2025, 9 p.m.
CFLT logo CFLT Sale 3,053 Dec 23, 2025 Dec. 23, 2025, 9 p.m.
CFLT logo CFLT Sale 44,114 Dec 08, 2025 Dec. 10, 2025, 8:31 p.m.
CFLT logo CFLT Sale 15,062 Nov 20, 2025 Nov. 24, 2025, 7 p.m.
CFLT logo CFLT Sale 1,219 Sep 22, 2025 Sept. 24, 2025, 5:50 p.m.
CFLT logo CFLT Sale 15,200 Aug 20, 2025 Aug. 22, 2025, 7:29 p.m.
CFLT logo CFLT Sale 1,218 Jun 20, 2025 June 24, 2025, 5:30 p.m.
CFLT logo CFLT Sale 7 Jun 20, 2025 June 24, 2025, 5:30 p.m.
CFLT logo CFLT Sale 9,476 May 20, 2025 May 22, 2025, 6 p.m.
CFLT logo CFLT Sale 14,460 May 22, 2025 May 22, 2025, 6 p.m.




$CFLT 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.