& Melinda Gerber Living Trust Nicholas Net Worth
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& Melinda Gerber Living Trust Nicholas has an estimated net worth of at least $28.1 million*, as of yesterday. They own 18.5 million shares of MGLD stock. They have sold 0 shares of MGLD stock since 2021, for an estimated $0.
& Melinda Gerber Living Trust Nicholas $MGLD SEC Form 4 Insider Trading
& Melinda Gerber Living Trust Nicholas has filed a total of 5 insider trades in $MGLD since 2021. Their most recent trade was a purchase of 50,000 shares, made on Nov 21, 2024. Their largest trade was a purchase of 80,000 shares, made on May 21, 2024. We estimate that they now own 18.5 million shares of $MGLD, worth an estimated $28.1 million.
Insider Trading at $MGLD
There have been a total of 8 insider trades reported at $MGLD since 2021, with 340,751 shares purchased and 7,000 shares sold. The most active insider traders in $MGLD stock have been & Melinda Gerber Living Trust Nicholas, Carolyn M. Yu, and Nicholas Daniel Gerber. The most recent trade was a purchase of 50,000 shares reported by & Melinda Gerber Living Trust Nicholas (Chief Executive Officer), made on Nov 21, 2024.
History of Insider Stock Trades by & Melinda Gerber Living Trust Nicholas
| Company Ticker | Purchase / Sale | Shares | Date | Disclosed (EST) |
|---|---|---|---|---|
MGLD
|
Purchase | 50,000 | Nov 21, 2024 | Nov. 25, 2024, 11:58 a.m. |
|
MGLD
|
Purchase | 80,000 | May 21, 2024 | May 22, 2024, 3:05 p.m. |
|
MGLD
|
Purchase | 50,000 | Mar 18, 2024 | March 19, 2024, 2:48 p.m. |
|
MGLD
|
Purchase | 25,000 | Mar 13, 2024 | March 14, 2024, 3:27 p.m. |
|
MGLD
|
Purchase | 13,751 | Feb 21, 2024 | Feb. 22, 2024, 3:54 p.m. |
$MGLD Executives and Stock Owners with Insider Trades
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& Melinda Gerber Living Trust Nicholas, Chief Executive Officer
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Carolyn M. Yu, Chief Legal & Continuity Off
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Nicholas Daniel Gerber, President & CEO
*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.