This paper investigates the hypothesis of the profit maximization theory as it applies to the National Football League (NFL). A profit maximization function is constructed incorporating variable revenue and cost factors such as gate receipts and player expenses. A systems model is used as the estimation procedure to identify the determinants of ticket prices for NFL franchises. This model implies parameter restrictions across two equations to incorporate the Kuhn-Tucker conditions. Results from the regression are then used in conjunction with other data to numerically test the derived profit maximization conditions. The results support profit maximizing behavior by NFL teams, indicating that over 80% of teams set ticket prices at a level corresponding to profit maximization.