The study aims to analyze trends in the number of leading Angolan insurance companies for benchmarking purposes in the sector between 2020 and 2023, using the DEA-VRS window model. The analysis was conducted by calculating the efficiency scores of each insurer in two-year-wide moving windows, followed by a comparison of efficiency distributions over time and the identification of the insurers that served as benchmarks in each window for benchmarking purposes. The analysis was conducted by calculating the efficiency scores of each insurer in two-year movable windows, followed by a comparison of efficiency distributions over time and the identification of the insurers that served as benchmarks in each window for benchmarking purposes. The results reveal a trend of increasing average efficiency scores and a concomitant reduction in the number of insurers identified as benchmarks, a pattern that was consistently evident across the three analysis windows. In practical terms, the findings also indicate that the universe of benchmarks is becoming more concentrated, which requires attention to the periodic updating of the analysis windows and the selection of variables to ensure that benchmarking continues to reflect efficient practices within the analyzed sample. The article stands out for exploring a little-studied market, using robust primary data, offering practical value by identifying benchmark insurers, and revealing an unexpected inverse relationship between average efficiency and the number of benchmarks DMUs.