Nicholas Konat Net Worth
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Nicholas Konat has an estimated net worth of at least $11.5 million*, as of Dec. 18, 2024. They own 51,495 shares of SFM stock. They have sold 64,128 shares of SFM stock since 2021, for an estimated $4.3 million.
Nicholas Konat $SFM SEC Form 4 Insider Trading
Nicholas Konat has filed a total of 4 insider trades in $SFM since 2021. Their most recent trade was a sale of 31,000 shares, made on May 08, 2024. Their largest trade was a sale of 31,846 shares, made on Mar 22, 2024. We estimate that they now own 51,495 shares of $SFM, worth an estimated $7.1 million.
Insider Trading at $SFM
There have been a total of 159 insider trades reported at $SFM since 2021, with 4,093 shares purchased and 1.8 million shares sold. The most active insider traders in $SFM stock have been Jack Sinclair, Brandon F. Lombardi, and Stacy W. Hilgendorf. The most recent trade was a sale of 5,714 shares reported by Jack Sinclair (Chief Executive Officer), made on Dec 17, 2024.
History of Insider Stock Trades by Nicholas Konat
$SFM Executives and Stock Owners with Insider Trades
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Jack Sinclair, Chief Executive Officer
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Brandon F. Lombardi, Chief Legal Officer
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Stacy W. Hilgendorf, VP, Controller
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Kim Coffin, SVP, Chief Forager
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John Scott Neal, Chief Merchandising Officer
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David Mcglinchey, Chief Strategy Officer
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Dustin Hamilton, Chief Stores Officer
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Joseph L Hurley, Chief Supply Chain Officer
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Timmi Zalatoris, Chief Human Resources Officer
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Dan J Sanders, Chief Store Operations Officer
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Lawrence Molloy, Chief Financial Officer
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David Mcglinchey, Chief Format Officer
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Nicholas Konat, President & COO
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Dan J Sanders, Chief Operations Officer
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Gilliam Phipps, Senior Marketing Advisor
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John Scott Neal, Chief Fresh Merchandising Off.
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Curtis Valentine, Chief Financial Officer
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Alisa Gmelich, SVP, Chief Marketing 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.