Skip to Main Content
Insider Trading

Christopher Stansbury Net Worth

Track Major Insider Updates On X/Twitter

Last Updated: 1 week, 1 day ago

Christopher Stansbury has an estimated net worth of at least $26.1 million*, as of Dec. 18, 2024. They own 4.4 million shares of LUMN stock. They have sold 52,993 shares of LUMN stock since 2021, for an estimated $-549,450.

Christopher Stansbury $LUMN SEC Form 4 Insider Trading

Christopher Stansbury has filed a total of 1 insider trades in $LUMN since 2021. Their most recent trade was a purchase of 500,000 shares, made on Nov 03, 2023. Their largest trade was a purchase of 500,000 shares, made on Nov 03, 2023. We estimate that they now own 4.4 million shares of $LUMN, worth an estimated $26.6 million.



Insider Trading at $LUMN

There have been a total of 18 insider trades reported at $LUMN since 2021, with 2.5 million shares purchased and 128,616 shares sold. The most active insider traders in $LUMN stock have been Kathleen E Johnson, Christopher Stansbury, and Stacey W Goff. The most recent trade was a purchase of 10,000 shares reported by James Fowler (None), made on Sep 03, 2024.



History of Insider Stock Trades by Christopher Stansbury

Company Ticker Purchase / Sale Shares Date Disclosed (EST)
LUMN Purchase 500,000 Nov 03, 2023 Nov. 3, 2023, 6:07 p.m.
ARW Sale 3,870 Feb 23, 2022 Feb. 24, 2022, 2:16 p.m.
ARW Sale 5,805 Feb 23, 2022 Feb. 24, 2022, 2:16 p.m.
ARW Sale 6,672 Feb 23, 2022 Feb. 24, 2022, 2:16 p.m.
ARW Sale 6,865 Feb 23, 2022 Feb. 24, 2022, 2:16 p.m.
ARW Sale 13,229 Feb 23, 2022 Feb. 24, 2022, 2:16 p.m.
ARW Sale 9,712 Feb 23, 2022 Feb. 24, 2022, 2:16 p.m.
ARW Sale 6,840 Feb 23, 2022 Feb. 24, 2022, 2:16 p.m.




$LUMN 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.