The Turkish banking sector forms the cornerstone of the Turkish economy and is closely monitored both locally and internationally as the most important element of financial stability. The dynamic and risky nature of the sector necessitates transforming performance evaluation into a scientific analysis discipline. CCAV methods offer a multidimensional and objective evaluation framework that makes this complexity manageable. In this context, this study analyses annual data for eight performance indicators identified in the literature to determine the financial performance of the Turkish banking sector between 2015 and 2024 using a hybrid decision model (CRITIC-MAIRCA-CRADIS-MARCOS). In the first stage of the two-stage analysis, the importance weight values of the performance criteria were determined using the CRITIC method, and in the second stage, ranking scores were determined using the Borda Count method with four different ranking algorithms. According to the results of the CRITIC method, the three criteria that most affected the financial performance of the Turkish banking sector in the 2015-2024 period were, in order: Capital Adequacy Ratio, Loans Received / Total Assets, and Average Return on Equity. The criteria with the least impact were determined to be Interest Income/Total Income, Interest Expenses/Total Expenses, and Average Return on Assets, respectively. In the second stage of the analysis, performance rankings were obtained using three different methods, and these rankings were integrated using the Borda count method. According to the ranking results, the most successful years in terms of financial performance for the Turkish banking sector between 2015 and 2024 were identified as 2022, 2023 and 2024, respectively. These results were supported by all three methods. The least successful years were determined to be 2018, 2019, 2016 and 2021. The results of the three different CKKV methods were combined using the Borda method, yielding a highly consistent result.