Simrat Randhawa Net Worth
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Simrat Randhawa has an estimated net worth of at least $10.1 million*, as of April 29, 2026. They own 150,000 shares of DNTH stock. They have sold 230,368 shares of DNTH stock since 2021, for an estimated $10.1 million.
Simrat Randhawa $DNTH SEC Form 4 Insider Trading
Simrat Randhawa has filed a total of 7 insider trades in $DNTH since 2021. Their most recent trade was a sale of 33,830 shares, made on Mar 12, 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 $0.
Insider Trading at $DNTH
There have been a total of 34 insider trades reported at $DNTH since 2021, with 88,254 shares purchased and 587,752 shares sold. The most active insider traders in $DNTH stock have been Ryan Savitz, Edward Carr, and Marino Garcia. The most recent trade was a sale of 8,224 shares reported by Ryan Savitz (EVP, CFO & CBO), made on Apr 09, 2026.
History of Insider Stock Trades by Simrat Randhawa
| Company Ticker | Purchase / Sale | Shares | Date | Disclosed (EST) |
|---|---|---|---|---|
DNTH
|
Sale | 33,830 | Mar 12, 2026 | March 13, 2026, 8:30 p.m. |
|
DNTH
|
Sale | 26,166 | Nov 13, 2025 | Nov. 14, 2025, 10 p.m. |
|
DNTH
|
Sale | 42,765 | Nov 13, 2025 | Nov. 14, 2025, 10 p.m. |
|
DNTH
|
Sale | 18,576 | Nov 13, 2025 | Nov. 14, 2025, 10 p.m. |
|
DNTH
|
Sale | 109,031 | Nov 14, 2025 | Nov. 14, 2025, 10 p.m. |
|
DNTH
|
Purchase | 2,000 | Sep 21, 2023 | Sept. 25, 2023, 4:15 p.m. |
|
DNTH
|
Purchase | 2,000 | Sep 22, 2023 | Sept. 25, 2023, 4:15 p.m. |
$DNTH Executives and Stock Owners with Insider Trades
-
Ryan Savitz, EVP, CFO & CBO
-
Edward Carr, CHIEF ACCOUNTING OFFICER
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Marino Garcia, CEO AND PRESIDENT
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Simrat Randhawa, EVP, Head of R&D
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Ryan Savitz, CFO & CBO
-
Simrat Randhawa, Chief Medical 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.