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Insider Trading

Last Updated: 2 days, 22 hours ago

Simrat Randhawa has an estimated net worth of at least $13.2 million*, as of July 1, 2026. They own 150,000 shares of DNTH stock. They have sold 256,898 shares of DNTH stock since 2021, for an estimated $12.5 million.

Simrat Randhawa $DNTH SEC Form 4 Insider Trading

Simrat Randhawa has filed a total of 10 insider trades in $DNTH since 2021. Their most recent trade was a sale of 4,159 shares, made on Jun 01, 2026. Their largest trade was a sale of 109,031 shares, made on Nov 14, 2025. We estimate that they now own 150,000 shares of $DNTH, worth an estimated $734,916.



Insider Trading at $DNTH

There have been a total of 39 insider trades reported at $DNTH since 2021, with 88,254 shares purchased and 644,282 shares sold. The most active insider traders in $DNTH stock have been Ryan Savitz, Simrat Randhawa, and Edward Carr. The most recent trade was a sale of 13,229 shares reported by Adam M Veness (SVP, General Counsel and Sec.), made on Jun 17, 2026.



History of Insider Stock Trades by Simrat Randhawa

Company Ticker Purchase / Sale Shares Date Disclosed (EST)
DNTH logo DNTH Sale 4,159 Jun 01, 2026 June 2, 2026, 7 p.m.
DNTH logo DNTH Sale 16,943 Jun 01, 2026 June 2, 2026, 7 p.m.
DNTH logo DNTH Sale 5,428 Jun 01, 2026 June 2, 2026, 7 p.m.
DNTH logo DNTH Sale 33,830 Mar 12, 2026 March 13, 2026, 8:30 p.m.
DNTH logo DNTH Sale 109,031 Nov 14, 2025 Nov. 14, 2025, 10 p.m.
DNTH logo DNTH Sale 26,166 Nov 13, 2025 Nov. 14, 2025, 10 p.m.
DNTH logo DNTH Sale 42,765 Nov 13, 2025 Nov. 14, 2025, 10 p.m.
DNTH logo DNTH Sale 18,576 Nov 13, 2025 Nov. 14, 2025, 10 p.m.
DNTH logo DNTH Purchase 2,000 Sep 21, 2023 Sept. 25, 2023, 4:15 p.m.
DNTH logo DNTH Purchase 2,000 Sep 22, 2023 Sept. 25, 2023, 4:15 p.m.




$DNTH 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.