Comprehensive Capital Analysis and Review (CCAR) and regulatory stress testing have become critical components of the financial industry's risk management practices. These exercises require robust and reliable software systems capable of processing large volumes of data, performing complex calculations, and generating accurate results within strict timeframes. Ensuring the performance, scalability, and resilience of these systems is crucial to meet regulatory requirements and maintain financial stability. This paper presents a performance testing framework specifically designed for CCAR and regulatory stress testing software. The framework emphasizes the importance of optimizing system scalability, resilience, and responsiveness under stress conditions. It outlines key considerations for designing and executing performance tests, including workload modeling, test environment setup, and monitoring and analysis techniques. The paper also discusses best practices for identifying performance bottlenecks, optimizing resource utilization, and ensuring system stability under peak loads. By adopting the proposed performance testing framework, financial institutions can enhance the reliability and efficiency of their CCAR and stress testing processes, ultimately strengthening their risk management capabilities and regulatory compliance.