Enterprise valuation is the evaluation of an enterprise's value, which is the focus of research in the financial field. In recent years, with the establishment of China's science and innovation board stock market, enterprise valuation has once again become a hot research topic. Accurate enterprise valuation model has important economic significance for enterprise listing and securities investment. However, the existing valuation methods mainly evaluate the enterprise value through the accounting of some economic indicators. The index information designed in this kind of method is difficult to obtain and is not suitable for investors. How to use the fundamental data and liquidity index data of enterprises to accurately predict the market sales rate plays an important role. Firstly, through the multiple linear regression model, this paper analyzes the prediction of market sales rate, analyzes and summarizes the problems existing in the multiple linear regression model. Secondly, through nonlinear transformation and time series index, an effective market sales rate prediction model is established. Finally, through the prediction and analysis of listed enterprises in China's A-share market, the goodness of the model is successfully improved, which fully verifies the effectiveness of our proposed method. © 2022 ACM.