Lasse Petterson Net Worth
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Lasse Petterson has an estimated net worth of at least $16.0 million*, as of July 2, 2025. They own 1.2 million shares of GLDD stock. They have sold 250,000 shares of GLDD stock since 2021, for an estimated $2.2 million.
Lasse Petterson $GLDD SEC Form 4 Insider Trading
Lasse Petterson has filed a total of 7 insider trades in $GLDD since 2021. Their most recent trade was a sale of 46,510 shares, made on Aug 23, 2024. Their largest trade was a sale of 59,223 shares, made on Aug 15, 2024. We estimate that they now own 1.2 million shares of $GLDD, worth an estimated $13.8 million.
Insider Trading at $GLDD
There have been a total of 31 insider trades reported at $GLDD since 2021, with 349,163 shares purchased and 385,810 shares sold. The most active insider traders in $GLDD stock have been David E Simonelli, Lasse Petterson, and Christopher Gunsten. The most recent trade was a sale of 5,000 shares reported by Ronald Steger (None), made on Jun 03, 2025.
History of Insider Stock Trades by Lasse Petterson
| Company Ticker | Purchase / Sale | Shares | Date | Disclosed (EST) |
|---|---|---|---|---|
GLDD
|
Sale | 46,510 | Aug 23, 2024 | Aug. 26, 2024, 6:55 p.m. |
|
GLDD
|
Sale | 28,709 | Aug 26, 2024 | Aug. 26, 2024, 6:55 p.m. |
|
GLDD
|
Sale | 53,771 | Aug 19, 2024 | Aug. 21, 2024, 4:31 p.m. |
|
GLDD
|
Sale | 10,147 | Aug 20, 2024 | Aug. 21, 2024, 4:31 p.m. |
|
GLDD
|
Sale | 59,223 | Aug 15, 2024 | Aug. 19, 2024, 4:28 p.m. |
|
GLDD
|
Sale | 51,640 | Aug 16, 2024 | Aug. 19, 2024, 4:28 p.m. |
|
GLDD
|
Purchase | 10,000 | Aug 05, 2022 | Aug. 5, 2022, noon |
$GLDD Executives and Stock Owners with Insider Trades
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David E Simonelli, Chief Operating Officer
-
Lasse Petterson, CEO & President
-
Christopher Gunsten, SVP-Proj Svcs & Fleet Engineer
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Eleni Beyko, SVP - Offshore Energy
-
William H Hanson, SVP, Gov't Relations & Bus Dev
*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.