Gene expression analysis in tomato fruit has drawn increasing attention nowadays. Quantitative real-time PCR (qPCR) is a routine technique for gene expression analysis. In qPCR operation， reliability of results largely depends on the choice of appropriate reference genes (RGs). Although tomato is a model for fruit biology study， few RGs for qPCR analysis in tomato fruit had yet been developed. In this study， we initially identified 38 most stably expressed genes based on tomato transcriptome data set， and their expression stabilities were further determined in a set of tomato fruit samples of four different fruit developmental stages (Immature， mature green， breaker， mature red) using qPCR analysis. Two statistical algorithms， geNorm and Normfinder， concordantly determined the superiority of these identified putative RGs. Notably， SlFRG05 (Solyc01g104170)， SlFRG12 (Solyc04g009770)， SlFRG16 (Solyc10g081190)， SlFRG27 (Solyc06g007510)， and SlFRG37 (Solyc11g005330) were proved to be suitable RGs for tomato fruit development study. Further analysis using geNorm indicate that the combined use of SlFRG03 (Solyc02g063070) and SlFRG27 would provide more reliable normalization results in qPCR experiments. The identified RGs in this study will be beneficial for future qPCR analysis of tomato fruit developmental study， as well as for the potential identification of optimal normalization controls in other plant species.