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This study aims to determine the effect of ROE, EPS, DER, and ROA on PBV. This type of research is quantitative research. The data for this study were obtained through secondary data. The population in this study were all property companies listed on the IDX for the 2019-2022 period. The sample in this study was 44 financial reports with the sampling technique using purposive sampling. Data analysis technique using eviews. The results of the study showed that the partial t-test results of the ROE and EPS variables had an effect on PBV with a significance value of less than 0.05. The DER and ROA variables had a negative effect on PBV with a significance value greater than 0.05. The results of the simultaneous F-test of ROE, EPS, DER, and ROA on PBV had a positive and significant effect with a significance value less than 0.05.

The property sector is one of the business instruments usually chosen by investors. This research capital market focuses on the housing construction sector originating from property companies. This company is the same as others, namely buying and selling shares at competitive prices per share. This share buying and selling activity can be dominated by price seasonality criteria when the price of each share rises or falls. Of all types of shares, Property Companies both have low and high return risks. Therefore, risks in the capital market can be predicted using the criteria of Return on Assets, Return on Equity and Earning Per Share. The research was carried out quantitatively by processing secondary data in the form of company financial reports. The research object was property companies registered on the IDX which were then sampled using probability sampling so that 13 companies were found as samples with a research period of 3 years. The method used is Panel Data Regression analysis. The results obtained are partial return on assets, return on equity has a significant positive effect on share prices and earnings per share has a significant negative effect on stock prices. Meanwhile, simultaneously return on assets, return on equity and earnings per share have a positive and significant influence on share prices. The results of the R square test explain that the independent variable is able to explain 84.4% of the variables studied