This study aims to forecast operating performance of enterprises using ESG reports. First, the textual analysis technique is utilized to analyze the content of ESG reports. Based on the results of content analysis, the genetic algorithm-support vector machine classifier is then used to forecast operating performance of enterprises to provide investors with a reference for decision-making of enterprise investment, thereby increasing their profitability. To achieve the above objective, the following tasks are performed: (i) a process for forecasting enterprise operating performance using ESG reports is designed, (ii) techniques involved in the process of enterprise operating performance forecasting using ESG reports are developed, and (iii) the use of the proposed approach is evaluated.