This study investigates how climate anomalies influence bank profitability across thirty-one Asian economies using static panel estimators and harmonised data from 2007 to 2019. Asia’s exposure to heatwaves, rainfall deviations, temperature shifts and rising carbon emissions generates climate-induced pressures that shape productivity, credit quality and economic activity. Despite growing interest in climate–finance linkages, cross-country evidence on profitability remains limited. Static estimators—Pooled OLS, Random Effects and Fixed Effects—are employed because they allow transparent identification of contemporaneous climate effects without imposing dynamic adjustment structures that are not the focus of this study. Using the inverse hyperbolic sine transformation of ROA, the analysis evaluates four climate indicators while controlling for bank-specific and macroeconomic factors. Results show that heatwave anomalies reduce profitability, precipitation anomalies exert a positive influence likely reflecting moderate rainfall benefits, carbon emissions are positively associated with returns in more industrialised economies, and maximum temperature anomalies display no short-run significance. Across all models, net interest margin, non-interest income and cost efficiency remain the dominant operational drivers of profitability. Overall, the findings demonstrate that climate variability has measurable implications for banking outcomes in Asia, while internal bank conditions remain the strongest determinants of performance.