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AbstractLarge lending in the banking industry has sparked concerns about banks' efficiency performance, particularly, if it is related to their credit risk, as trade credit, provided by large, creditworthy firms. We provide evidence of a rather neglected issue regarding the impact of large lending on banks' efficiency using cost and profit stochastic functions. A unique dataset was constructed concerning all US banks collected from the Statistics on Depository Institutions report compiled by the Federal Deposit Insurance Corporation. Our sample contains US banks tracked yearly for the period 2010–2017, creating an unbalanced panel of year observations. An econometric framework based on nested non‐neutral frontiers was developed to estimate the influence and the decomposition of large lending on the three banks' performance aspects. Moreover, different types of frontiers aiming at the cost and profit sides have been investigated, and the associated elasticities have been calculated. We notice that large lending plays a crucial role in banks' technical efficiency. Variations among different frontier models, type of bank and size, banks' ownership structure, and macroeconomic conditions appear to be present. By considering all capital adequacy asset quality management earnings liquidity parameters, we notice that banks' financial strength affects banks' efficiency.