Skip to Main Content
American Flag
LABOR DAY SALE

50% off your first year of any Quiver subscription

...

Use Promo Code:

LABOR26
American Flag
Insider Trading

Last Updated: 5 days, 8 hours ago

Patrick Weiss has an estimated net worth of at least $10.4 million*, as of Sept. 16, 2026. They own 47,401 shares of TWST stock. They have sold 34,046 shares of TWST stock since 2021, for an estimated $3.5 million.

Patrick Weiss $TWST SEC Form 4 Insider Trading

Patrick Weiss has filed a total of 8 insider trades in $TWST since 2021. Their most recent trade was a sale of 3,918 shares, made on Dec 21, 2021. Their largest trade was a sale of 4,906 shares, made on Oct 13, 2021. We estimate that they now own 47,401 shares of $TWST, worth an estimated $6.8 million.



Insider Trading at $TWST

There have been a total of 506 insider trades reported at $TWST since 2021, with 18,550 shares purchased and 2.1 million shares sold. The most active insider traders in $TWST stock have been Emily M. Leproust, Dennis Cho, and William Banyai. The most recent trade was a sale of 2,440 shares reported by Emily M. Leproust (Chief Executive Officer), made on Sep 17, 2026.



History of Insider Stock Trades by Patrick Weiss

Company Ticker Purchase / Sale Shares Date Disclosed (EST)
TWST logo TWST Sale 3,918 Dec 21, 2021 Dec. 23, 2021, 5:35 p.m.
TWST logo TWST Sale 2,801 Dec 14, 2021 Dec. 16, 2021, 5:35 p.m.
TWST logo TWST Sale 2,801 Nov 24, 2021 Nov. 29, 2021, 5:35 p.m.
TWST logo TWST Sale 4,906 Oct 13, 2021 Oct. 14, 2021, 8 p.m.
TWST logo TWST Sale 4,905 Sep 15, 2021 Sept. 16, 2021, 8 p.m.
TWST logo TWST Sale 4,905 Aug 18, 2021 Aug. 19, 2021, 8 p.m.
TWST logo TWST Sale 4,905 Jul 21, 2021 July 22, 2021, 8 p.m.
TWST logo TWST Sale 4,905 Jun 23, 2021 June 24, 2021, 8 p.m.




$TWST 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.