Insider Trading

Dipak Golechha Net Worth

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Last Updated: 1 week ago

Dipak Golechha has an estimated net worth of at least $18.5 million*, as of Dec. 18, 2024. They own 121,710 shares of PANW stock. They have sold 19,500 shares of PANW stock since 2021, for an estimated $5.9 million.

Dipak Golechha $PANW SEC Form 4 Insider Trading

Dipak Golechha has filed a total of 11 insider trades in $PANW since 2021. Their most recent trade was a sale of 2,500 shares, made on Dec 02, 2024. Their largest trade was a sale of 2,500 shares, made on Dec 02, 2024. We estimate that they now own 121,710 shares of $PANW, worth an estimated $12.6 million.



Insider Trading at $PANW

There have been a total of 786 insider trades reported at $PANW since 2021, with 155 shares purchased and 4.7 million shares sold. The most active insider traders in $PANW stock have been Nir Zuk, Lee Klarich, and Nikesh Arora. The most recent trade was a sale of 775 shares reported by Mary Pat McCarthy (None), made on Dec 12, 2024.



History of Insider Stock Trades by Dipak Golechha

Company Ticker Purchase / Sale Shares Date Disclosed (EST)
PANW Sale 2,500 Dec 02, 2024 Dec. 3, 2024, 5:30 p.m.
PANW Sale 2,500 Sep 03, 2024 Sept. 5, 2024, 4:30 p.m.
PANW Sale 2,500 Mar 01, 2024 March 4, 2024, 5:31 p.m.
PANW Sale 2,500 Dec 13, 2023 Dec. 13, 2023, 6:31 p.m.
PANW Sale 2,000 Aug 31, 2023 Sept. 1, 2023, 4:55 p.m.
PANW Sale 2,000 May 30, 2023 May 30, 2023, 6:53 p.m.
PANW Sale 2,000 Mar 03, 2023 March 6, 2023, 8:47 p.m.
PANW Sale 2,000 Nov 28, 2022 Nov. 29, 2022, 5:11 p.m.
PANW Sale 500 Aug 25, 2022 Aug. 26, 2022, 4:15 p.m.
PANW Sale 500 Aug 23, 2022 Aug. 23, 2022, 6:54 p.m.
PANW Sale 500 Jun 07, 2022 June 7, 2022, 6:29 p.m.




$PANW 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.