The structure of Indian banking has substantially changed over the past decades, partially as a result of adoption of new technologies and process of reforms and accompanying deregulation has embodied an incentive for bank management to focus on improving efficiency, especially given the more competitive banking environment. In the face of increased competition, the banks have to operate more efficiently in order to sustain and perform better. In the context of increased competition and the importance of banks in financial markets, it becomes very much essential to evaluate whether these banks operate efficiently. Primarily, there are two chief reasons to measure the efficiency of banking institutions. Firstly, this assists to identify the most efficient banks and benchmarks the relative efficiency of individual banks against the most efficient banks. Secondly, it helps to evaluate the impact of various policy measures on the performance of banks. This study aims to examine the efficiency of a public sector bank SBBJ banks during 2009-2013 by utilizing Data Envelopment Analysis (DEA). This paper follows the DEA nonparametric approach. In this regard, Farrell (1957) originally developed this non-parametric efficiency approach. The DEA is non-parametric in the sense that it simply constructs the frontier of the observed input-output ratios by linear programming techniques (Iqbal and Molyneux (2005). For an introduction to DEA methodology, see for instance Coelli et al. (1998) and Thanassoulis (2001).