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Insider Trading

Last Updated: 1 week ago

Paulo Pisano has an estimated net worth of at least $26.8 million*, as of Dec. 18, 2024. They own 3,617 shares of BKNG stock. They have sold 2,431 shares of BKNG stock since 2021, for an estimated $8.2 million.

Paulo Pisano $BKNG SEC Form 4 Insider Trading

Paulo Pisano has filed a total of 14 insider trades in $BKNG since 2021. Their most recent trade was a sale of 170 shares, made on Nov 22, 2024. Their largest trade was a sale of 420 shares, made on Mar 07, 2024. We estimate that they now own 3,617 shares of $BKNG, worth an estimated $18.7 million.



Insider Trading at $BKNG

There have been a total of 550 insider trades reported at $BKNG since 2021, with 2,000 shares purchased and 65,904 shares sold. The most active insider traders in $BKNG stock have been Glenn D Fogel, David I Goulden, and Glenn D Fogel. The most recent trade was a sale of 170 shares reported by Paulo Pisano (CHIEF HUMAN RESOURCES OFFICER), made on Nov 22, 2024.



History of Insider Stock Trades by Paulo Pisano

Company Ticker Purchase / Sale Shares Date Disclosed (EST)
BKNG Sale 170 Nov 22, 2024 Nov. 25, 2024, 5:30 p.m.
BKNG Sale 100 Aug 27, 2024 Aug. 28, 2024, 4:30 p.m.
BKNG Sale 298 May 08, 2024 May 9, 2024, 4:30 p.m.
BKNG Sale 227 May 07, 2024 May 9, 2024, 4:30 p.m.
BKNG Sale 420 Mar 07, 2024 March 8, 2024, 7:19 p.m.
BKNG Sale 300 Mar 08, 2024 March 8, 2024, 7:19 p.m.
BKNG Sale 50 Aug 31, 2023 Sept. 1, 2023, 4:25 p.m.
BKNG Sale 200 Aug 31, 2023 Sept. 1, 2023, 4:25 p.m.
BKNG Sale 170 Aug 08, 2023 Aug. 9, 2023, 4:30 p.m.
BKNG Sale 60 Mar 09, 2023 March 10, 2023, 5:30 p.m.
BKNG Sale 120 Mar 09, 2023 March 10, 2023, 5:30 p.m.
BKNG Sale 96 Mar 06, 2023 March 8, 2023, 6:04 p.m.
BKNG Sale 100 May 27, 2022 May 31, 2022, 8 p.m.
BKNG Sale 120 May 20, 2022 May 22, 2022, 8 p.m.




$BKNG 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.