A potentially important form of financial information disaggregation is to segregate the change in an income measure into its underlying performance drivers. In this study, we perform a comprehensive analysis of the usefulness of such disaggregation to investors. We utilize the volume and rate analysis in banks' 10-K filings, in which banks disaggregate annual changes in net interest income into changes in the balances (“volume variance”) and changes in the rates (“rate variance”) of assets and liabilities. We document that volume and rate variances are associated with bank characteristics, including market power, funding sources, and credit risk. We find volume and rate variances are predictive of future net interest income and are positively associated with stock returns and prices, suggesting the disaggregated information is value relevant. Our study informs regulators and users by showing that disaggregated information along volume and rate dimensions has predictive and confirmatory value.