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Insider Trading

J Danforth Quayle Net Worth

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Last Updated: 1 day, 2 hours ago

J Danforth Quayle has an estimated net worth of at least $20.3 million*, as of yesterday. They own 41,913 shares of CVNA stock. They have sold 39,882 shares of CVNA stock since 2021, for an estimated $6.7 million.

J Danforth Quayle $CVNA SEC Form 4 Insider Trading

J Danforth Quayle has filed a total of 10 insider trades in $CVNA since 2021. Their most recent trade was a sale of 2,900 shares, made on Mar 09, 2026. Their largest trade was a purchase of 12,500 shares, made on May 17, 2022. We estimate that they now own 41,913 shares of $CVNA, worth an estimated $13.6 million.



Insider Trading at $CVNA

There have been a total of 4795 insider trades reported at $CVNA since 2021, with 9.7 million shares purchased and 21.0 million shares sold. The most active insider traders in $CVNA stock have been Ernest C. Iii Garcia, Mark W. Jenkins, and Benjamin E. Huston. The most recent trade was a sale of 953 shares reported by Thomas Taira (President, Special Projects), made on Mar 09, 2026.



History of Insider Stock Trades by J Danforth Quayle

Company Ticker Purchase / Sale Shares Date Disclosed (EST)
CVNA logo CVNA Sale 2,900 Mar 09, 2026 March 9, 2026, 5:12 p.m.
CVNA logo CVNA Sale 11,614 May 14, 2025 May 15, 2025, 7:11 p.m.
CVNA logo CVNA Sale 134 May 07, 2024 May 8, 2024, 5:52 p.m.
CVNA logo CVNA Sale 5,752 May 07, 2024 May 8, 2024, 5:52 p.m.
CVNA logo CVNA Sale 1,230 May 07, 2024 May 8, 2024, 5:52 p.m.
CVNA logo CVNA Sale 7,700 May 08, 2024 May 8, 2024, 5:52 p.m.
CVNA logo CVNA Sale 6,858 May 08, 2024 May 8, 2024, 5:52 p.m.
CVNA logo CVNA Sale 3,694 May 07, 2024 May 8, 2024, 5:52 p.m.
CVNA logo CVNA Purchase 12,500 May 17, 2022 May 18, 2022, 7:16 p.m.
CVNA logo CVNA Purchase 6,250 May 17, 2022 May 18, 2022, 7:16 p.m.




$CVNA 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.