Xin Wan Net Worth
Track Major Insider Updates On X/TwitterLast Updated: 1 day, 1 hour ago
Xin Wan has an estimated net worth of at least $17.4 million*, as of yesterday. They own 817,540 shares of GCT stock. They have sold 300,000 shares of GCT stock since 2021, for an estimated $7.3 million.
Xin Wan $GCT SEC Form 4 Insider Trading
Xin Wan has filed a total of 8 insider trades in $GCT since 2021. Their most recent trade was a sale of 466 shares, made on Dec 18, 2024. Their largest trade was a sale of 80,000 shares, made on Dec 06, 2024. We estimate that they now own 817,540 shares of $GCT, worth an estimated $10.1 million.
Insider Trading at $GCT
There have been a total of 154 insider trades reported at $GCT since 2021, with 5,000 shares purchased and 6.4 million shares sold. The most active insider traders in $GCT stock have been Lei Wu, Xinyan Hao, and Xin Wan. The most recent trade was a purchase of 5,000 shares reported by Marshall Bernes (Head of BaaS Program), made on Dec 27, 2024.
History of Insider Stock Trades by Xin Wan
| Company Ticker | Purchase / Sale | Shares | Date | Disclosed (EST) |
|---|---|---|---|---|
GCT
|
Sale | 466 | Dec 18, 2024 | Dec. 19, 2024, 10:06 a.m. |
|
GCT
|
Sale | 65,675 | Dec 16, 2024 | Dec. 17, 2024, 10:17 p.m. |
|
GCT
|
Sale | 2,762 | Dec 16, 2024 | Dec. 17, 2024, 10:17 p.m. |
|
GCT
|
Sale | 1,097 | Dec 17, 2024 | Dec. 17, 2024, 10:17 p.m. |
|
GCT
|
Sale | 80,000 | Dec 06, 2024 | Dec. 9, 2024, 6:55 p.m. |
|
GCT
|
Sale | 44,000 | Mar 28, 2024 | April 1, 2024, 9:59 p.m. |
|
GCT
|
Sale | 42,000 | Mar 28, 2024 | April 1, 2024, 9:59 p.m. |
|
GCT
|
Sale | 64,000 | Mar 28, 2024 | April 1, 2024, 9:59 p.m. |
$GCT Executives and Stock Owners with Insider Trades
-
Lei Wu, Chief Executive Officer
-
Xinyan Hao, Chief Operating Officer
-
Xin Wan, Chief Technology Officer
-
Iman Aj Schrock, President
-
David Kwok Hei Lau, Chief Financial Officer
-
Marshall Bernes, Head of BaaS Program
*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.