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Insider Trading

Blasio Riccardo Di Net Worth

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Last Updated: 5 days, 22 hours ago

Blasio Riccardo Di has an estimated net worth of at least $18.1 million*, as of April 23, 2025. They own 84,416 shares of CVLT stock. They have sold 72,452 shares of CVLT stock since 2021, for an estimated $4.8 million.

Blasio Riccardo Di $CVLT SEC Form 4 Insider Trading

Blasio Riccardo Di has filed a total of 10 insider trades in $CVLT since 2021. Their most recent trade was a sale of 1,099 shares, made on Nov 20, 2023. Their largest trade was a sale of 21,206 shares, made on Jun 07, 2023. We estimate that they now own 84,416 shares of $CVLT, worth an estimated $13.3 million.



Insider Trading at $CVLT

There have been a total of 184 insider trades reported at $CVLT since 2021, with 0 shares purchased and 637,205 shares sold. The most active insider traders in $CVLT stock have been Sanjay Mirchandani, Gary Merrill, and Gary Merrill. The most recent trade was a sale of 154 shares reported by Gary Merrill (Chief Commercial Officer), made on Feb 21, 2025.



History of Insider Stock Trades by Blasio Riccardo Di

Company Ticker Purchase / Sale Shares Date Disclosed (EST)
CVLT logo CVLT Sale 1,099 Nov 20, 2023 Nov. 21, 2023, 8:17 p.m.
CVLT logo CVLT Sale 1,321 Nov 17, 2023 Nov. 21, 2023, 8:17 p.m.
CVLT logo CVLT Sale 1,321 Aug 17, 2023 Aug. 21, 2023, 4:04 p.m.
CVLT logo CVLT Sale 1,098 Aug 18, 2023 Aug. 21, 2023, 4:04 p.m.
CVLT logo CVLT Sale 21,206 Jun 07, 2023 June 9, 2023, 4:01 p.m.
CVLT logo CVLT Sale 3,984 May 23, 2023 May 23, 2023, 6:45 p.m.
CVLT logo CVLT Sale 1,250 May 19, 2023 May 23, 2023, 6:45 p.m.
CVLT logo CVLT Sale 8,912 Feb 24, 2023 Feb. 27, 2023, 5:10 p.m.
CVLT logo CVLT Sale 17,182 Jun 02, 2022 June 5, 2022, 8 p.m.
CVLT logo CVLT Sale 15,079 Mar 02, 2022 March 3, 2022, 8 p.m.




$CVLT 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.