Coffee has been around since the fifteenth century and is “the second most traded commodity next to oil” (Hoover, 2007). The coffee shop industry domestically includes 20,000 stores with a combined annual revenue of about 11 billion dollars (IMCR Case Studies and Management Resources, 2007). The coffee industry is not only interesting but also offers many challenges as it has become increasingly competitive, demanding efficiency in all areas of operations for success. Measuring and benchmarking the performance or efficiency of coffee stores using various factors, which is an important part of the managerial process, may not be simple and consequently requires a very high level of effort. The use of conventional efficiency measures and financial ratios will provide simple and straightforward results. The advantages of these measures are that they are readily available and easy to use and understand. However, theyprovide only a partial picture of performance and are unable to incorporate multivariate aspects of performance measures. In fact, when we measure and benchmark the performance of organizations, we need to include multiple factors such as purchasing, labor, building and markets for their individual effects and, at the same time, for their overall effects. Managers will want to know the comparative performance of the stores determining which factors are more influential for the profitability of a store and/or which factors should be improved to increase profitability. We demonstrate an approach for measuring and benchmarking multivariate aspects of performance using actual data from a coffee company. Particularly, we analyze the operating efficiency of the coffee stores using data envelopment analysis (DEA), which is a well-known approach used in models for the comparative efficiency measures of organizations or organizational units. Measuring that part of performance is an essential process for management. Without information or feedback on the performance of organizations, it will be difficult to manage them efficiently and effectively. We failed to find a scholarly study about performance measures and benchmarking forcoffeestoresatthetimeofthisstudy.Accordingly,thisstudywillbeafirstattemptin this area. In addition, the use of internal data, which is not accessible by the public, is uniquetothisstudy.Becauseinternaldataisused,theanonymityofthecompanywillbe maintained throughout the study. The contributions of this study include providing a practical framework for performance measures within a benchmarking perspective in general, and analyzingcomparative efficiency for the retail operations of selected coffee stores using pertinent internal data along with market or location information in particular. This study is applicable to similar businesses for measuring and benchmarking performance. The rest of this study consists of reviewing related studies within a benchmarking perspective, exploring DEA for a methodology, describing the choice of data and variables and presenting and discussing results followed by conclusions that include the summary of findings and the limits and future direction of the study.