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Increasing the prosperity of owners or shareholders is one of the goals of companies that have gone public. The high prosperity will increase the market performance of companies going public. The purpose of this study is to determine the role of financial performance in improving the stock price of companies going public. The population used in this research is 65 companies in the consumer goods sector that are listed on the Indonesia Stock Exchange (IDX) for the 2017-2019 period. The sampling technique used purposive sampling method, in order to obtain a sample of 60 companies that meet the sample criteria. The data analysis method used in this research is multiple linear regression analysis, descriptive analysis, normality test, coefficient of determination, and t test. Financial performance variables are measured from three ratios, namely solvency ratios, profitability ratios, and activity ratios. The results showed that the solvency ratio and profitability ratio have a significant influence on the stock price of companies going public. The activity ratio shows that the results cannot affect the stock price of companies going public

Study This goal is to ascertain how return on investment affects the share price of PT Astra International. Time frame for the study: this covers the years 2013–2018. population studied This is a mining company that is listed on IDX. Purposive sampling is used in the election sample. In the years 2008 to 2010, there were up to 31 firms miningyang listed on the IDX. utilized data analysis Simple regression analytical techniques are used to test the hypothesis.According to a results study, the results mark significance of 0.935 acquired by results processing statistics is larger than the criteria significance (0.05). The regression model is therefore not significant. Therefore, the linearity criterion is satisfied by linear regression. The R2 result is 0.002 which indicates that the variability variable dependent may be described by the variability variable independent by 0.2% while the remaining 99.8% is explained by other factors not included in the regression model.