To succeed in a competitive market, a company must be profitable in the short term and create value for stakeholders in the long term; also, in order to control and direct the company optimally, the performance of management and their strategies must always be evaluated to provide valuable information for the efficient and effective use of resources. Accordingly, it is necessary to analyze the methods of measuring value chain efficiency and determine the most desirable measurement method for examining the current and long-term performance of the company. Therefore, the present study has investigated and compared the accuracy of measuring value chain efficiency based on stochastic frontier function and based on data envelopment analysis. For this purpose, using correlation analysis and multivariate linear regression in Stata software, data from 151 companies active in the Tehran Stock Exchange over a 10-year period (2015-2024) were used to test the research hypotheses. The results of the research showed that there is a strong positive correlation between the efficiency of the value chain based on the stochastic frontier function and the data envelopment analysis, but the efficiency data based on the stochastic frontier function approach is more consistent with the realities of the Iranian industry and economy. The results of estimating this variable based on both approaches have a positive correlation with the company's return on assets, although the correlation coefficient between return on assets and efficiency based on data envelopment analysis is stronger. The correlation between value chain efficiency and stock market value is also higher in the stochastic frontier function approach. The results also showed that value chain efficiency in both approaches has a positive effect on return on assets, while only value chain efficiency based on the stochastic frontier function increases the market value of the company.