U.S. c atfish farming practices have evolved with the dynamic needs of markets and recent studies showing a general trend of intensification of culture practices . Increased production intensity has resulted in greater economic risk stemming from financial, production, and market sources. This research quantifies and compares the economi c risk of different commercial catfish farming practices using data from over 330 commercial ponds from 38 farms. Standardized enterprise budgets for various identified catfish farming strategies were used to perform risk simulations. Economic analysis employing iterative Monte Carlo simulations was performed using Crystal Ball® to develop cumulative probability distributions of breakeven price above total cost (BEP/TC) for six identified catfish production strategies . The analysis identified factors such as fish yield, feed conversion ratio, feed prices, and fish prices as important variables affecting economic risk. S tochastic ranking of commercial catfish farming strategies found intensive production technologies to be stochastically dominant over less intensive production practices . Productivity enhancement measures that target feed management and yields have the potential to improve profitability and reduce risk.