Abstract
Abstract This article introduces an improved sales percentage method to quantitatively calculate the evaluation process of the corporate sales cash flow percentage method in order to obtain more evidence-based financial data and increase the accuracy of the evaluation results. At the same time, the paper uses SPSS to perform regression analysis on related financial indicators and sales revenue and obtains quadratic regression equations and linear regression equations. The thesis predicts other financial index data based on the predicted future sales revenue, uses the revised linear regression equation to obtain the company's future net cash flow and calculates the company value.
Highlights
The evaluation of corporate value is the basis of various corporate activities
We found that only by accurately measuring the value of an enterprise can we lay a solid foundation for the various activities carried out between enterprises
This article is based on a case study of the improved sales percentage method for corporate value evaluation
Summary
The evaluation of corporate value is the basis of various corporate activities. Only by obtaining a reasonable corporate valuation can the value of an enterprise be accurately measured. This article is based on a case study of the improved sales percentage method for corporate value evaluation. This article improves the traditional sales percentage method to make the cash flow forecast more detailed and reliable and analyses the practicality of the improved sales percentage method with actual cases in the evaluation work. This article proposes to adopt an improved sales revenue percentage method, namely dynamic average method, to use a quantitative method to predict the cash flow of the enterprise and, at the same time, introduce regression analysis and use regression equations to predict related financial indicators and other data that remain unchanged, thereby increasing the accuracy of the enterprise value assessment value and making up for the shortcomings of the original assessment process
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