Skip to Main Content
Insider Trading

Donald Matthew Smith Net Worth

Track Major Insider Updates On X/Twitter

Last Updated: 1 week, 1 day ago

Donald Matthew Smith has an estimated net worth of at least $18.5 million*, as of Dec. 18, 2024. They own 305,635 shares of HAYW stock. They have sold 600,000 shares of HAYW stock since 2021, for an estimated $13.6 million.

Donald Matthew Smith $HAYW SEC Form 4 Insider Trading

Donald Matthew Smith has filed a total of 12 insider trades in $HAYW since 2021. Their most recent trade was a sale of 2,283 shares, made on Oct 22, 2021. Their largest trade was a sale of 125,000 shares, made on Oct 22, 2021. We estimate that they now own 305,635 shares of $HAYW, worth an estimated $4.9 million.



Insider Trading at $HAYW

There have been a total of 97 insider trades reported at $HAYW since 2021, with 2,100 shares purchased and 63.3 million shares sold. The most active insider traders in $HAYW stock have been Kevin Holleran, Eifion Jones, and Donald Matthew Smith. The most recent trade was a sale of 50,000 shares reported by KEVIN HOLLERAN (President and CEO), made on Dec 02, 2024.



History of Insider Stock Trades by Donald Matthew Smith

Company Ticker Purchase / Sale Shares Date Disclosed (EST)
HAYW Sale 2,283 Oct 22, 2021 Oct. 25, 2021, 8 p.m.
HAYW Sale 125,000 Oct 22, 2021 Oct. 25, 2021, 8 p.m.
HAYW Sale 96,178 Oct 21, 2021 Oct. 21, 2021, 8 p.m.
HAYW Sale 25,739 Oct 19, 2021 Oct. 20, 2021, 8 p.m.
HAYW Sale 25,000 Oct 20, 2021 Oct. 20, 2021, 8 p.m.
HAYW Sale 125,000 Oct 18, 2021 Oct. 18, 2021, 8 p.m.
HAYW Sale 45,000 Oct 14, 2021 Oct. 17, 2021, 8 p.m.
HAYW Sale 25,000 Oct 15, 2021 Oct. 17, 2021, 8 p.m.
HAYW Sale 20,000 Oct 13, 2021 Oct. 13, 2021, 8 p.m.
HAYW Sale 25,000 Oct 11, 2021 Oct. 12, 2021, 8 p.m.
HAYW Sale 40,800 Oct 12, 2021 Oct. 12, 2021, 8 p.m.
HAYW Sale 45,000 Oct 08, 2021 Oct. 11, 2021, 8 p.m.




$HAYW 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.