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Insider Trading

Naveen K. Chopra Net Worth

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Last Updated: 3 days, 4 hours ago

Naveen K. Chopra has an estimated net worth of at least $22.5 million*, as of June 24, 2026. They own 395,748 shares of RBLX stock. They have sold 49,001 shares of RBLX stock since 2021, for an estimated $3.4 million.

Naveen K. Chopra $RBLX SEC Form 4 Insider Trading

Naveen K. Chopra has filed a total of 10 insider trades in $RBLX since 2021. Their most recent trade was a sale of 1,873 shares, made on May 20, 2026. Their largest trade was a sale of 14,990 shares, made on May 20, 2026. We estimate that they now own 395,748 shares of $RBLX, worth an estimated $19.1 million.



Insider Trading at $RBLX

There have been a total of 1229 insider trades reported at $RBLX since 2021, with 52 shares purchased and 31.2 million shares sold. The most active insider traders in $RBLX stock have been David Baszucki, Craig Donato, and Michael Guthrie. The most recent trade was a sale of 5,978 shares reported by Mark Reinstra (Chief Legal Off. & Corp. Sec.), made on Jun 08, 2026.



History of Insider Stock Trades by Naveen K. Chopra

Company Ticker Purchase / Sale Shares Date Disclosed (EST)
RBLX logo RBLX Sale 1,873 May 20, 2026 May 22, 2026, 5:28 p.m.
RBLX logo RBLX Sale 14,990 May 20, 2026 May 22, 2026, 5:28 p.m.
RBLX logo RBLX Sale 5,093 Feb 20, 2026 Feb. 24, 2026, 5:28 p.m.
RBLX logo RBLX Sale 6,917 Feb 20, 2026 Feb. 24, 2026, 5:28 p.m.
RBLX logo RBLX Sale 704 Feb 20, 2026 Feb. 24, 2026, 5:28 p.m.
RBLX logo RBLX Sale 3,151 Nov 20, 2025 Nov. 24, 2025, 9:32 p.m.
RBLX logo RBLX Sale 5,642 Nov 20, 2025 Nov. 24, 2025, 9:32 p.m.
RBLX logo RBLX Sale 3,193 Nov 20, 2025 Nov. 24, 2025, 9:32 p.m.
RBLX logo RBLX Sale 4,628 Nov 20, 2025 Nov. 24, 2025, 9:32 p.m.
RBLX logo RBLX Sale 2,810 Nov 20, 2025 Nov. 24, 2025, 9:32 p.m.




$RBLX 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.