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Insider Trading

Last Updated: 1 week, 1 day ago

Matthew Gline has an estimated net worth of at least $234.7 million*, as of Dec. 18, 2024. They own 17.4 million shares of ROIV stock. They have sold 2.5 million shares of ROIV stock since 2021, for an estimated $25.6 million.

Matthew Gline $ROIV SEC Form 4 Insider Trading

Matthew Gline has filed a total of 12 insider trades in $ROIV since 2021. Their most recent trade was a sale of 2.0 million shares, made on Sep 23, 2024. Their largest trade was a sale of 2.0 million shares, made on Sep 23, 2024. We estimate that they now own 17.4 million shares of $ROIV, worth an estimated $209.1 million.



Insider Trading at $ROIV

There have been a total of 143 insider trades reported at $ROIV since 2021, with 4.0 million shares purchased and 130.9 million shares sold. The most active insider traders in $ROIV stock have been Eric Venker, Rakhi Kumar, and Eric Venker. The most recent trade was a sale of 412,584 shares reported by Mayukh Sukhatme (Pres&Chief Investment Officer), made on Dec 18, 2024.



History of Insider Stock Trades by Matthew Gline

Company Ticker Purchase / Sale Shares Date Disclosed (EST)
ROIV Sale 2.0 million Sep 23, 2024 Sept. 24, 2024, 9:01 p.m.
ROIV Sale 19,276 Oct 25, 2022 Oct. 27, 2022, 6 p.m.
ROIV Sale 21,053 Sep 23, 2022 Sept. 27, 2022, 7 p.m.
ROIV Sale 20,009 Aug 24, 2022 Aug. 26, 2022, 7 p.m.
ROIV Sale 20,455 Jul 25, 2022 July 27, 2022, 9:08 p.m.
ROIV Sale 19,855 Jun 23, 2022 June 27, 2022, 7 p.m.
ROIV Sale 139,791 May 20, 2022 May 24, 2022, 7 p.m.
ROIV Sale 8,509 Apr 25, 2022 April 27, 2022, 7 p.m.
ROIV Sale 33,686 Mar 30, 2022 April 1, 2022, 6 p.m.
ROIV Sale 35,386 Mar 25, 2022 March 29, 2022, 6:29 p.m.
ROIV Sale 82,006 Mar 18, 2022 March 22, 2022, 9 p.m.
ROIV Sale 92,324 Mar 07, 2022 March 9, 2022, 10:45 p.m.




$ROIV 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.