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Insider Trading

Xianzhi Sean Fan Net Worth

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Last Updated: 4 days, 21 hours ago

Xianzhi Sean Fan has an estimated net worth of at least $21.5 million*, as of April 23, 2025. They own 138,155 shares of RMBS stock. They have sold 279,215 shares of RMBS stock since 2021, for an estimated $14.9 million.

Xianzhi Sean Fan $RMBS SEC Form 4 Insider Trading

Xianzhi Sean Fan has filed a total of 11 insider trades in $RMBS since 2021. Their most recent trade was a sale of 52,327 shares, made on Feb 19, 2025. Their largest trade was a sale of 52,852 shares, made on Nov 18, 2022. We estimate that they now own 138,155 shares of $RMBS, worth an estimated $6.6 million.



Insider Trading at $RMBS

There have been a total of 85 insider trades reported at $RMBS since 2021, with 0 shares purchased and 893,358 shares sold. The most active insider traders in $RMBS stock have been Luc Seraphin, John Shinn, and Desmond Lynch. The most recent trade was a sale of 10,000 shares reported by Luc Seraphin (President and CEO), made on Apr 15, 2025.



History of Insider Stock Trades by Xianzhi Sean Fan

Company Ticker Purchase / Sale Shares Date Disclosed (EST)
RMBS logo RMBS Sale 52,327 Feb 19, 2025 Feb. 19, 2025, 7:58 p.m.
RMBS logo RMBS Sale 15,770 Mar 04, 2024 March 4, 2024, 7:21 p.m.
RMBS logo RMBS Sale 20,000 Mar 01, 2024 March 4, 2024, 7:21 p.m.
RMBS logo RMBS Sale 2,004 Feb 20, 2024 Feb. 21, 2024, 3:22 p.m.
RMBS logo RMBS Sale 20,000 Feb 12, 2024 Feb. 13, 2024, 5:08 p.m.
RMBS logo RMBS Sale 20,000 Feb 05, 2024 Feb. 6, 2024, 4:24 p.m.
RMBS logo RMBS Sale 16,904 Dec 11, 2023 Dec. 12, 2023, 1:02 p.m.
RMBS logo RMBS Sale 17,309 Aug 29, 2023 Aug. 30, 2023, 5:33 p.m.
RMBS logo RMBS Sale 52,852 Nov 18, 2022 Nov. 21, 2022, 12:04 p.m.
RMBS logo RMBS Sale 10,277 Nov 16, 2022 Nov. 18, 2022, 6:05 p.m.
RMBS logo RMBS Sale 51,772 Nov 15, 2022 Nov. 16, 2022, 1:41 p.m.




$RMBS 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.