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Insider Trading

Last Updated: 6 months, 4 weeks ago

Matthew Enyedi has an estimated net worth of at least $10.1 million*, as of Aug. 6, 2025. They own 14,121 shares of LPLA stock. They have sold 23,921 shares of LPLA stock since 2021, for an estimated $4.9 million.

Matthew Enyedi $LPLA SEC Form 4 Insider Trading

Matthew Enyedi has filed a total of 11 insider trades in $LPLA since 2021. Their most recent trade was a sale of 183 shares, made on Feb 26, 2026. Their largest trade was a sale of 7,712 shares, made on Jul 20, 2021. We estimate that they now own 14,121 shares of $LPLA, worth an estimated $5.1 million.



Insider Trading at $LPLA

There have been a total of 244 insider trades reported at $LPLA since 2021, with 3,695 shares purchased and 715,938 shares sold. The most active insider traders in $LPLA stock have been Greg Gates, Dan H. Arnold, and Michelle Oroschakoff. The most recent trade was a sale of 463 shares reported by Matthew Enyedi (Group Managing Director), made on Feb 26, 2026.



History of Insider Stock Trades by Matthew Enyedi

Company Ticker Purchase / Sale Shares Date Disclosed (EST)
LPLA logo LPLA Sale 183 Feb 26, 2026 Feb. 27, 2026, 6:06 p.m.
LPLA logo LPLA Sale 463 Feb 26, 2026 Feb. 27, 2026, 6:06 p.m.
LPLA logo LPLA Sale 628 Feb 26, 2026 Feb. 27, 2026, 6:06 p.m.
LPLA logo LPLA Sale 666 Feb 26, 2026 Feb. 27, 2026, 6:06 p.m.
LPLA logo LPLA Sale 169 Feb 26, 2026 Feb. 27, 2026, 6:06 p.m.
LPLA logo LPLA Sale 5,154 Feb 10, 2025 Feb. 12, 2025, 5:13 p.m.
LPLA logo LPLA Sale 2,400 Feb 26, 2024 Feb. 27, 2024, 8:42 p.m.
LPLA logo LPLA Sale 1,381 Feb 20, 2024 Feb. 22, 2024, 6:17 p.m.
LPLA logo LPLA Sale 3,265 Aug 22, 2023 Sept. 5, 2023, 4:33 p.m.
LPLA logo LPLA Sale 1,900 Mar 14, 2022 March 15, 2022, 8 p.m.
LPLA logo LPLA Sale 7,712 Jul 20, 2021 July 20, 2021, 8 p.m.




$LPLA 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.