<p>This study develops a value-based framework within dynamic data envelopment analysis (DEA) to evaluate cost and revenue efficiency measures for decision-making units (DMUs) in a network structure incorporating shared resources and undesirable outputs. The proposed methodology integrates heterogeneous input and output prices to establish cost-based and revenue-based production possibility sets at the division level, period level, and system level across the dynamic framework. Furthermore, to enhance the performance of inefficient DMUs, the approach aims to determine the value-based cost-efficient and revenue-efficient input–output targets. The practical applicability of the model is demonstrated through an analysis of thirty-one Indian banks. The findings reveal that Canara Bank, State Bank of India, and Dhanlaxmi Bank Limited are the only institutions achieving higher cost and revenue efficiencies, thereby serving as optimal benchmarks for other banks aiming to improve their operational performance. For cost efficiency enhancement, the banks are primarily suggested to reduce the spending on fixed assets, followed by the employees in the funds generation process, and gross non-performing assets (undesirable output) in the lending and investment process. Large banks need to focus on increasing revenue from investment and lending activities more than smaller banks.</p>