Ravi Raghu $COF SEC Form 4 Insider Trading

Ravi Raghu has filed a total of 2 insider trades in $COF since 2021. Their most recent trade was a sale of 13,450 shares, made on Jan 05, 2026. Their largest trade was a sale of 24,786 shares, made on Nov 05, 2024. We estimate that they now own 30,337 shares of $COF, worth an estimated $9.6 million.

Insider Trading at $COF

There have been a total of 209 insider trades reported at $COF since 2021, with 59 shares purchased and 1.5 million shares sold. The most active insider traders in $COF stock have been Richard D Fairbank, Robert M. Alexander, and Kevin S. Borgmann. The most recent trade was a sale of 2,000 shares reported by Matthew W Cooper (General Counsel & Corp Secy), made on Jan 06, 2026.

$COF Executives and Stock Owners with Insider Trades

• Richard D Fairbank, Chairman and CEO

• Robert M. Alexander, Chief Information Officer

• Kevin S. Borgmann, Senior Advisor to the CEO

• Frank G. Laprade,Iii, Chief Enterprise Srvcs Officer

• Michael Zamsky, Chief Credit & Fin'l Risk Off.

• Richard D Fairbank, Chairman, CEO and President

• Neal Blinde, President, Commercial Banking

• Matthew W Cooper, General Counsel & Corp Secy

• Mark Daniel Mouadeb, President, U.S. Card

• Kara West, Chief Enterprise Risk Officer

• Lia Dean, Pres, Banking & Prem. Products

• Celia Karam, Pres, Retail Bank

• Kara West, Chief Audit Officer

• Sheldon Hall, Chief Risk Officer

• Timothy P Golden, Controller

• Michael Slocum, President, Commercial Banking

• Timothy P Golden, SVP, Chief Accounting Officer

• Jory A Berson, Chief Human Resources Officer

• John G Jr Finneran, Senior Advisor and Corp Secy

• Ravi Raghu, Pres, Software, Intl & Sm Bus

• Andrew M Young, Chief Financial Officer

• Matthew W Cooper, General Counsel

• Kaitlin Haggerty, Chief Human Resources Officer

• Yajnik Sanjiv, President, Financial Services

*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.