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The purpose oft his study is to look at and analyze the effect of CR, DER, NPM on Tobin's Q together and individually in theCosmetics and Household Utilization Sub-sector Companies Listed on the IDX. The approach used is an associative approach. This type of data uses quantitative data. All Cosmetics and Household Goods Sub-sector companies registered on the IDX are used for this population while the sample that meets the criteria with purposive sampling techniqueis 4 companies for 8 years of research. Data collection techniques using documentation. Techniques for analyzing data use multiple linear regression, correlation, R-Square also hypothesis testing. The results prove simultaneously that CR, DER, NPM have a significant effect on Tobin's Q. Partially CR has an insignificant positive effect on Tobin's Q, while DER and NPM have a significant positive effect on Tobin's Q.
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