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Insider Trading

Bradley Ferguson Net Worth

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Last Updated: 1 month, 2 weeks ago

Bradley Ferguson has an estimated net worth of at least $10.0 million*, as of Oct. 29, 2025. They own 443,805 shares of SKYT stock. They have sold 251,503 shares of SKYT stock since 2021, for an estimated $2.4 million.

Bradley Ferguson $SKYT SEC Form 4 Insider Trading

Bradley Ferguson has filed a total of 10 insider trades in $SKYT since 2021. Their most recent trade was a sale of 16,186 shares, made on Aug 14, 2023. Their largest trade was a sale of 76,789 shares, made on Sep 09, 2022. We estimate that they now own 443,805 shares of $SKYT, worth an estimated $7.6 million.



Insider Trading at $SKYT

There have been a total of 222 insider trades reported at $SKYT since 2021, with 0 shares purchased and 13.9 million shares sold. The most active insider traders in $SKYT stock have been Steve Manko, Mark Litecky, and Bradley Ferguson. The most recent trade was a sale of 100,000 shares reported by Loren A Unterseher (None), made on Nov 26, 2025.



History of Insider Stock Trades by Bradley Ferguson

Company Ticker Purchase / Sale Shares Date Disclosed (EST)
SKYT logo SKYT Sale 16,186 Aug 14, 2023 Aug. 15, 2023, 5:12 p.m.
SKYT logo SKYT Sale 72,603 Aug 11, 2023 Aug. 15, 2023, 5:12 p.m.
SKYT logo SKYT Sale 1,281 May 11, 2023 May 15, 2023, 4:56 p.m.
SKYT logo SKYT Sale 19,437 Mar 17, 2023 March 20, 2023, 3 p.m.
SKYT logo SKYT Sale 10,000 Mar 09, 2023 March 13, 2023, 2:33 p.m.
SKYT logo SKYT Sale 1,443 Mar 01, 2023 March 3, 2023, 1:22 p.m.
SKYT logo SKYT Sale 10,000 Feb 28, 2023 March 2, 2023, 10:59 a.m.
SKYT logo SKYT Sale 40,185 Dec 19, 2022 Dec. 19, 2022, 7:02 p.m.
SKYT logo SKYT Sale 3,579 Sep 12, 2022 Sept. 14, 2022, 4:20 p.m.
SKYT logo SKYT Sale 76,789 Sep 09, 2022 Sept. 13, 2022, 3:12 p.m.




$SKYT 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.