Kenyatta G Rocker Net Worth
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Kenyatta G Rocker has an estimated net worth of at least $31.1 million*, as of April 29, 2026. They own 77,928 shares of UNP stock. They have sold 40,105 shares of UNP stock since 2021, for an estimated $10.4 million.
Kenyatta G Rocker $UNP SEC Form 4 Insider Trading
Kenyatta G Rocker has filed a total of 6 insider trades in $UNP since 2021. Their most recent trade was a sale of 15,531 shares, made on Apr 24, 2026. Their largest trade was a sale of 15,531 shares, made on Apr 24, 2026. We estimate that they now own 77,928 shares of $UNP, worth an estimated $20.7 million.
Insider Trading at $UNP
There have been a total of 27 insider trades reported at $UNP since 2021, with 5,880 shares purchased and 85,935 shares sold. The most active insider traders in $UNP stock have been Kenyatta G Rocker, Elizabeth F Whited, and Jennifer L Hamann. The most recent trade was a sale of 2,000 shares reported by Jennifer L Hamann (EVP & CHIEF FINANCIAL OFFICER), made on Apr 24, 2026.
History of Insider Stock Trades by Kenyatta G Rocker
| Company Ticker | Purchase / Sale | Shares | Date | Disclosed (EST) |
|---|---|---|---|---|
UNP
|
Sale | 15,531 | Apr 24, 2026 | April 28, 2026, 3 p.m. |
|
UNP
|
Sale | 11,856 | Apr 24, 2026 | April 28, 2026, 3 p.m. |
|
UNP
|
Sale | 4,520 | Aug 23, 2023 | Aug. 24, 2023, 5:33 p.m. |
|
UNP
|
Sale | 4,180 | Aug 23, 2023 | Aug. 24, 2023, 5:33 p.m. |
|
UNP
|
Sale | 1,318 | Apr 21, 2022 | April 22, 2022, 6:05 p.m. |
|
UNP
|
Sale | 2,700 | Apr 21, 2022 | April 22, 2022, 6:05 p.m. |
$UNP Executives and Stock Owners with Insider Trades
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Kenyatta G Rocker, EVP MARKETING & SALES
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Elizabeth F Whited, PRESIDENT
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Jennifer L Hamann, EVP & CHIEF FINANCIAL OFFICER
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Elizabeth F Whited, EVP & CHIEF HR OFFICER
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Craig V Richardson, EVP CHIEF LEGAL OFFICER & CORP
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Eric J Gehringer, EVP OPERATIONS
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Elizabeth F Whited, EVP SUSTAINABILITY & STRATEGY
-
Vincenzo J Vena, CHIEF EXECUTIVE 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.