This research aims to determine the effect of Working Capital, Production Costs, Sales and Total Debt on Net Profit in Food and Beverage Sub-Sector Manufacturing Companies Listed on the Indonesia Stock Exchange for the 2019-2023 Period. The type of research used is quantitative using secondary data, namely financial reports. The sampling technique used was purposive sampling. Of the 95 companies, only 24 companies met certain criteria. The analysis model used is multiple linear regression analysis which was tested with IBM Statistics Product and Solution (SPSS) Version 25. The research results show that partially Working Capital has a positive and significant effect on Net Profit. Production and Sales Costs do not have a significant effect on Net Profit. Total Debt has a positive and significant effect on Net Profit.

This study aims to determine the Influence of Asset Structure, Current Ratio, Firm Size and Sales Growth Relative to the Company's Capital Structure. The research population is a household appliance sub-sector manufacturing company listed on the Indonesia Stock Exchange. Sample selection using Purposive Sampling. The research period is 2019-2023. The data analysis technique used is multiple linear regression processed with IBM programs Statistical Package for Social Science (SPSS) Version 26. The results of the study show that the Asset Structure and Current Ratio have a negative and significant effect on the Capital Structure. Company Size and Sales Growth have no effect on the Capital Structure.

This study aims to determine the effect of profitability, asset structure, company size and dividend policy on capital structure (empirical study on food and beverage subsector companies listed on the Indonesia Stock Exchange for the 2018-2023 period). The type of data used in this study is secondary data obtained from documentation in the form of financial statements of Food and Beverage companies. The total population in this study was 95 companies, sample selection was carried out by the Purposive Sampling method. So that a sample of 19 companies was obtained, the independent variables used were Profitability, Asset Structure, Company Size and Dividend Policy, the dependent variable used was Capital Structure. Data analysis was carried out quantitatively and the analysis methods used in this study were in the form of multiple linear regression and classical assumption tests including normality test, multicollinearity test, heteroscedasticity test and autocorrelation test. Data testing in this study used Statistical Package for Social (SPSS) Version 25.0. The results showed that Profitability had a significant negative effect on Capital Structure, Company Size had a significant positive effect on Capital Structure, while Asset Structure and Dividend Policy did not affect Capital Structure.