The main goal of this research is to study the relationship between accruals' quality and non-systematic risk of stocks among firms listed in Tehran Stock Exchange. In the present research we have used the ability of accruals to predict operational cash flows for measuring the quality of accruals. To measure non-systematic stock risk we have utilized two models of CAPM and FAMA & FRENCH, and also the variables such as: leverage, operational performance, firm size, book to market ratio, cash flow fluctuations, and stock return performance have been used as control variables. The present research is of applied type and studies have been carried out in a library study method. In this research 91 companies were selected as our sample for the time period since 2009 to 2013. The selected approach to test hypotheses was an integration of cross section and time series data. In this research we have used integrated least squares regression model (panel data). Results of testing hypotheses showed that there is no relationship between accruals quality and non-systematic risk according to CAPM model and FAMA & FRENCH model.