Aparna Chennapragada Net Worth
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Aparna Chennapragada has an estimated net worth of at least $13.6 million*, as of Dec. 18, 2024. They own 265,336 shares of HOOD stock. They have sold 60,991 shares of HOOD stock since 2021, for an estimated $2.8 million.
Aparna Chennapragada $HOOD SEC Form 4 Insider Trading
Aparna Chennapragada has filed a total of 5 insider trades in $HOOD since 2021. Their most recent trade was a sale of 5,000 shares, made on Aug 04, 2021. Their largest trade was a sale of 30,495 shares, made on Jul 30, 2021. We estimate that they now own 265,336 shares of $HOOD, worth an estimated $10.8 million.
Insider Trading at $HOOD
There have been a total of 178 insider trades reported at $HOOD since 2021, with 52,631 shares purchased and 25.5 million shares sold. The most active insider traders in $HOOD stock have been Vladimir Tenev, Baiju Bhatt, and Daniel Martin Jr Gallagher. The most recent trade was a sale of 5,876 shares reported by Jeffrey Tsvi Pinner (Chief Technology Officer), made on Dec 20, 2024.
History of Insider Stock Trades by Aparna Chennapragada
Company Ticker | Purchase / Sale | Shares | Date | Disclosed (EST) |
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HOOD | Sale | 5,000 | Aug 04, 2021 | Aug. 5, 2021, 8 p.m. |
HOOD | Sale | 5,000 | Aug 04, 2021 | Aug. 5, 2021, 8 p.m. |
HOOD | Sale | 8,297 | Aug 04, 2021 | Aug. 5, 2021, 8 p.m. |
HOOD | Sale | 30,495 | Jul 30, 2021 | Aug. 2, 2021, 8 p.m. |
HOOD | Sale | 12,199 | Jul 29, 2021 | July 29, 2021, 8 p.m. |
$HOOD Executives and Stock Owners with Insider Trades
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Vladimir Tenev, Chief Executive Officer
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Baiju Bhatt, Chief Creative Officer
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Daniel Martin Jr Gallagher, Chief Legal Officer
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Jason Warnick, Chief Financial Officer
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Aparna Chennapragada, Chief Product Officer
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Gretchen Howard, Chief Operating Officer
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Steven M. Quirk, Chief Brokerage Officer
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Christina Smedley, Chief Marketing Officer
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Jeffrey Tsvi Pinner, Chief Technology Officer
*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.