Skip to Main Content
Insider Trading

J Danforth Quayle Net Worth

Track Major Insider Updates On X/Twitter

Last Updated: 6 days, 12 hours ago

J Danforth Quayle has an estimated net worth of at least $15.1 million*, as of May 14, 2025. They own 41,913 shares of CVNA stock. They have sold 36,982 shares of CVNA stock since 2021, for an estimated $2.2 million.

J Danforth Quayle $CVNA SEC Form 4 Insider Trading

J Danforth Quayle has filed a total of 9 insider trades in $CVNA since 2021. Their most recent trade was a sale of 11,614 shares, made on May 14, 2025. 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 $12.9 million.



Insider Trading at $CVNA

There have been a total of 1951 insider trades reported at $CVNA since 2021, with 9.7 million shares purchased and 15.9 million shares sold. The most active insider traders in $CVNA stock have been Mark W. Jenkins, Benjamin E. Huston, and Daniel J. Gill. The most recent trade was a sale of 300 shares reported by ERNEST C. III GARCIA (Chief Executive Officer), made on May 19, 2025.



History of Insider Stock Trades by J Danforth Quayle

Company Ticker Purchase / Sale Shares Date Disclosed (EST)
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.