Nathaniel A. Vitan Net Worth
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Nathaniel A. Vitan has an estimated net worth of at least $11.1 million*, as of July 22, 2026. They own 2,814 shares of PSA stock. They have sold 32,348 shares of PSA stock since 2021, for an estimated $10.7 million.
Nathaniel A. Vitan $PSA SEC Form 4 Insider Trading
Nathaniel A. Vitan has filed a total of 9 insider trades in $PSA since 2021. Their most recent trade was a sale of 950 shares, made on Jun 12, 2026. Their largest trade was a sale of 25,000 shares, made on Dec 06, 2021. We estimate that they now own 2,814 shares of $PSA, worth an estimated $441,266.
Insider Trading at $PSA
There have been a total of 58 insider trades reported at $PSA since 2021, with 5,349 shares purchased and 274,399 shares sold. The most active insider traders in $PSA stock have been Nathaniel A. Vitan, Nathaniel A. Vitan, and Joseph D Jr Russell. The most recent trade was a sale of 950 shares reported by Nathaniel A. Vitan (Chief Legal Officer), made on Jun 12, 2026.
History of Insider Stock Trades by Nathaniel A. Vitan
| Company Ticker | Purchase / Sale | Shares | Date | Disclosed (EST) |
|---|---|---|---|---|
PSA
|
Sale | 950 | Jun 12, 2026 | June 16, 2026, 10:08 a.m. |
|
PSA
|
Sale | 450 | Dec 13, 2024 | Dec. 16, 2024, 1:06 p.m. |
|
PSA
|
Sale | 400 | Aug 23, 2024 | Aug. 27, 2024, 4:27 p.m. |
|
PSA
|
Sale | 400 | Jun 10, 2024 | June 10, 2024, 5:06 p.m. |
|
PSA
|
Sale | 265 | Dec 13, 2023 | Dec. 15, 2023, 11:57 a.m. |
|
PSA
|
Sale | 400 | Nov 10, 2023 | Nov. 13, 2023, 1:57 p.m. |
|
PSA
|
Sale | 25,000 | Dec 06, 2021 | Dec. 7, 2021, 12:52 p.m. |
|
PSA
|
Sale | 483 | Aug 12, 2021 | Aug. 11, 2021, 8 p.m. |
|
PSA
|
Sale | 4,000 | Jun 08, 2021 | June 8, 2021, 8 p.m. |
$PSA Executives and Stock Owners with Insider Trades
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Nathaniel A. Vitan, Chief Legal Officer
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Nathaniel A. Vitan, Sr. VP, Ch. Legal Off., Sec.
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Joseph D Jr Russell, President and CEO
*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.