The aquaculture industry is naturally prone to high levels of risk. In the U.S., the diversity of species and production systems adds layers of complexity, exposing aquaculture businesses to various forms of risk. However, existing research that addresses the multiple types of risks encountered by U.S. fish farms across different species and production systems is limited. This study aims to fill that gap by quantifying the economic risks faced by seven distinct species and production systems. Using a comprehensive approach, we will assess economic risk by simultaneously considering production, marketing and financial factors. Farm-level economic data, collected via surveys over recent years, will be used to construct spreadsheet-based risk models. Monte Carlo simulations, performed through Crystal Ball software, help to quantify these risks, with each model undergoing 1,000 iterations to determine variable correlations. The findings of this study will enable aquaculture producers to identify the key variables contributing to economic risk across species and production systems, facilitating the development of more effective risk management strategies.