James Geygan Net Worth
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James Geygan has an estimated net worth of at least $12.1 million*, as of July 1, 2026. They own 3.2 million shares of FLNT stock. They have sold 0 shares of FLNT stock since 2021, for an estimated $-455,458.
James Geygan $FLNT SEC Form 4 Insider Trading
James Geygan has filed a total of 5 insider trades in $FLNT since 2021. Their most recent trade was a purchase of 60,183 shares, made on Jun 12, 2026. Their largest trade was a purchase of 65,148 shares, made on Mar 13, 2026. We estimate that they now own 3.2 million shares of $FLNT, worth an estimated $12.6 million.
Insider Trading at $FLNT
There have been a total of 88 insider trades reported at $FLNT since 2021, with 1.2 million shares purchased and 130,244 shares sold. The most active insider traders in $FLNT stock have been Ryan Schulke, Matthew Conlin, and Donald Huntley Patrick. The most recent trade was a purchase of 1,185 shares reported by JAMES GEYGAN (None), made on Jun 12, 2026.
History of Insider Stock Trades by James Geygan
| Company Ticker | Purchase / Sale | Shares | Date | Disclosed (EST) |
|---|---|---|---|---|
FLNT
|
Purchase | 60,183 | Jun 12, 2026 | June 16, 2026, 4:30 p.m. |
|
FLNT
|
Purchase | 1,185 | Jun 12, 2026 | June 16, 2026, 4:30 p.m. |
|
FLNT
|
Purchase | 17,207 | Mar 12, 2026 | March 16, 2026, 9:55 p.m. |
|
FLNT
|
Purchase | 65,148 | Mar 13, 2026 | March 16, 2026, 9:55 p.m. |
|
FLNT
|
Purchase | 125 | Mar 13, 2026 | March 16, 2026, 9:55 p.m. |
$FLNT Executives and Stock Owners with Insider Trades
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Ryan Schulke, Chief Strategy Officer
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Matthew Conlin, Chief Customer Officer
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Donald Huntley Patrick, Chief Executive Officer
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Ryan Macnab Perfit, Interim CFO
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Ryan Macnab Perfit, Chief Financial Officer
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Donald Huntley Patrick, Interim CEO
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Matthew Conlin, President
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Ryan Schulke, Chief Executive Officer
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Sugandha Khandelwal, Chief Financial Officer
*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.