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This study investigates the determinants of dividend payout policy in energy sector firms listed on the Indonesia Stock Exchange during the 2020–2024 period. Dividend policy is a critical issue in emerging markets, especially in capital-intensive industries with high investment needs and earnings volatility. The research examines whether profitability and ownership structure—specifically institutional and managerial ownership—significantly influence dividend payout decisions, considering firm characteristics. The study analyzes the effect of profitability, institutional ownership, and managerial ownership on the dividend payout ratio, while controlling for firm size and leverage. A quantitative approach is used, employing pooled ordinary least squares (OLS) regression on 245 firm-year observations. Dividend payout ratio is measured as dividend per share divided by earnings per share, profitability is proxied by return on equity, and ownership variables are expressed as shareholding proportions. Descriptive analysis and classical assumption tests precede hypothesis testing. The results show that profitability positively and significantly affects dividend payout, suggesting that firms with better financial performance tend to distribute higher dividends. Firm size also positively influences dividend policy, while leverage negatively impacts it, reflecting the role of financial capacity and capital structure. However, institutional and managerial ownership do not show significant effects on dividend payout decisions. The findings indicate that dividend policy in Indonesian energy firms is primarily driven by financial performance and structural characteristics rather than ownership-based governance mechanisms. This study offers sector-specific evidence that refines agency and signaling perspectives on dividend policy in emerging markets, with practical implications for managers, investors, and regulators.

Mining companies are increasingly required to demonstrate environmental, social, and governance (ESG) accountability through sustainability reporting (SR). However, empirical evidence regarding the impact of SR on firm value in Indonesia’s mining sector remains inconsistent. This study aims to systematically examine the relationship between sustainability reporting and firm value using legitimacy theory as the conceptual framework. A Systematic Literature Review was conducted following the PRISMA 2020 protocol, employing narrative and thematic synthesis. Peer-reviewed articles published between 2018 and 2025 were retrieved from Google Scholar, Garuda Portal, and SINTA databases using relevant keywords. From 4,260 initial records, 11 studies met the inclusion criteria after screening, deduplication, and quality appraisal using an adapted CASP checklist. The findings reveal three dominant patterns: most studies report a positive effect of SR on firm value through improved transparency, corporate reputation, and investor confidence; several studies find no significant relationship due to short-term investor orientation; while a minority report negative effects associated with low disclosure quality and greenwashing concerns. Furthermore, the effectiveness of SR is influenced by disclosure quality, corporate governance, profitability, and leverage. This study implies that sustainability reporting can enhance firm value when disclosures are credible, consistent, and material, supporting legitimacy theory and encouraging alignment with the GRI 14: Mining Sector 2024 standard.

The goal of this research is to explore the relationship between stock prices, liquidity, profitability, and leverage. This study focuses on transportation and logistics companies that were registered in the Indonesia Stock Exchange from 2021 to 2023. A quantitative approach was taken, utilizing secondary data derived from the annual financial statements of companies that were active during this time frame. The sample comprised 45 data points, selected using a purposive sampling technique. The independent variables include leverage, measured with the Debt to Equity Ratio (DER), profitability, assessed through Return on Assets (ROA), and liquidity, evaluated via the Current Ratio (CR). The dependent variable for this research is the stock price. The findings from this partial analysis reveal that liquidity significantly and negatively impacts stock price, with a t-count of -2.264 and a significance level of 0.029. However, the correlation between stock price and profitability was found to be insignificant, indicated by a significance value of 0.071 and a t-count of -1.853. Similarly, leverage does not significantly affect stock price, as evidenced by a t-count of -0.657 and a significance level of 0.515. Nonetheless, when considered collectively, the three factors of leverage, profitability, and liquidity do influence stock prices. According to the coefficient of determination (R2) test, these three variables account for 13.9% of the volatility in stock prices, leaving the remaining 86.1% to be attributed to external factors not examined in this study.

This research examines the analysis of Return on Equity (ROE), Quick Ratio (QR), and Debt to Equity Ratio (DER) on corporate valuation, as assessed by Price-to-Book Value (PBV), within technology firms listed on the Indonesia Stock Exchange (IDX) during the period from 2022 to 2024. The primary aim of this investigation is to ascertain the effects of profitability, liquidity, and leverage both in isolation and in conjunction on market valuation in an industry characterized by innovation and intangible assets. This research employs panel data regression analysis utilizing EViews 13 as the quantitative methodology. The findings reveal that ROE significantly enhances PBV, indicating that investors place considerable importance on firms that are capable of generating substantial returns on equity for shareholders. Conversely, QR and DER appear to have no discernible impact on PBV. This observation can be attributed to the unique nature of technology companies, wherein investors prioritize factors other than short-term liquidity and leverage. Nonetheless, when assessed collectively, the three metrics illuminate the variations in corporate value. These results suggest that while financial stability indices exert a positive yet comparatively subdued effect on investor sentiment within the technology sector, profitability remains a paramount determinant. The study elucidates the financial determinants that influence corporate value in innovation-driven industries, providing valuable insights for managers and investors alike.

This study aims to analyze the effect of asset growth, capital structure, and asset structure on the profitability of PT Astra Graphia Tbk during the period 2016–2023. The research employs a quantitative approach with a causal research design using secondary data derived from the company’s quarterly financial statements. A total of 32 quarterly observations were selected through purposive sampling. Profitability is measured using Return on Equity (ROE), while data analysis is conducted using multiple linear regression. Prior to hypothesis testing, classical assumption tests including normality, multicollinearity, heteroskedasticity, and autocorrelation tests were performed to ensure the robustness of the regression model. The results indicate that asset growth, capital structure, and asset structure simultaneously have a significant effect on firm profitability. However, partially, only asset structure has a significant effect on profitability, while asset growth and capital structure show no significant influence. These findings suggest that efficient asset composition plays a more critical role in improving profitability than mere asset expansion or increased leverage. The managerial implication of this study highlights the importance of optimizing asset structure to enhance the firm’s ability to generate sustainable profits.

This study aims to analyze the effect of profitability, liquidity, and asset structure on the capital structure of banking companies listed on the Indonesia Stock Exchange (IDX) during the 2019–2023 period, with firm size as a moderating variable. The research employs a quantitative approach using secondary data obtained from financial statements. The sample was determined through a purposive sampling technique, resulting in 27 banking companies that met the criteria. Data were analyzed using multiple regression analysis and Moderated Regression Analysis (MRA). The results reveal that profitability has a negative and significant effect on capital structure, indicating that banks with higher profitability tend to reduce their dependence on external financing. In contrast, liquidity and asset structure do not have a significant effect on capital structure, suggesting that these factors are less influential in determining debt policy within the banking sector. Furthermore, the MRA results demonstrate that firm size moderates the relationship between profitability and capital structure, implying that larger firms can better manage internal funds to reduce leverage. However, firm size does not moderate the effects of liquidity and asset structure on capital structure. These findings contribute to understanding capital structure determinants in the Indonesian banking industry.

This study aims to present evidence on the effect of capital intensity, inventory intensity, and leverage disclosure on tax avoidance. This research utilizes secondary data from financial statements sourced from www.idx.co.id and the official websites of companies in the property and real estate sectors using quantitative research. The proxy used in measuring tax avoidance is using the effective tax rate (ETR) as the dependent variable and the independent variables used include capital intensity, inventory intensity, and leverage. Multiple linear regression analysis is the analysis technique used. The property and real estate sector listed on the IDX in the period 2021 to 2024 is the population in this study and the number of samples collected is 85 data obtained using the purposive sampling method. The findings of this research indicate that capital intensity, inventory intensity, and leverage significantly influence tax avoidance positively. These findings suggest that the higher the level of investment in fixed assets, inventory, and debt-to-equity ratio, the greater the tendency of a company to engage in tax avoidance.

This study aims to evaluate the financial performance of four cement companies listed on the Indonesia Stock Exchange (IDX) during the 2013 period. To achieve this, a descriptive quantitative approach was employed, utilizing purposive sampling. Data for the study was gathered from annual financial reports, which were publicly accessible through the official websites of the IDX and the individual companies. The analysis was carried out using the Du Pont System, a method that decomposes return on equity (ROE) into its components to assess the financial performance of the companies. The results of the analysis reveal that PT Inisial A exhibited the strongest financial performance among the four companies, demonstrating superior efficiency, profitability, and leverage. Following PT Inisial A, PT Inisial X performed moderately well, showing stable financial health but with some room for improvement in certain areas. On the other hand, PT Inisial Y and PT Inisial Z displayed the weakest performance, with PT Inisial Z facing significant challenges in maintaining profitability and managing its assets efficiently. This study’s findings provide valuable insights for investors, as it highlights the financial strengths and weaknesses of the companies involved, assisting them in making more informed investment decisions. Additionally, the results can serve as a reference for other companies within the cement industry, allowing them to identify areas for improvement and potential strategies for enhancing their financial performance. Furthermore, the research may contribute to future academic studies on corporate financial performance, particularly in the context of the cement industry in Indonesia. Overall, this research is expected to benefit both practitioners and academics by providing a comprehensive analysis of the financial status of the companies in question.

The purpose of this research was to examine the relationship between audit report latency and profitability, firm size, and leverage.  This study falls under the category of quantitative research. The data utilised in it comes from secondary sources, specifically the company's annual financial report that can be found on the Indonesia Stock Exchange (IDX) website for the years 2020–2023.  With the use of a purposive sampling strategy, we were able to collect 236 pieces of observational data from 59 different companies.  The statistical package used for data processing in this study is SPSS 27, and the kind of data analysis that was employed is multiple linear regression analysis.  The study found that audit report lag is positively but insignificantly affected by leverage, firm size negatively but significantly affects audit report lag, and profitability negatively but insignificantly affects audit report lag.

This study explores the factors influencing firm value in the manufacturing industry in Indonesia, specifically focusing on dividends, investment opportunities, and leverage. The analysis is based on publicly available data from 178 manufacturing companies in Indonesia, spanning the years 2018 to 2023. The primary objective of this research is to identify the key determinants of firm value in Indonesia's manufacturing sector, grounded in capital structure theory, through the development of a theoretical model. The findings indicate that dividend policy, investment decisions, and leverage have a positive impact on firm value within Indonesia's manufacturing industry. This study provides empirical support for both the pecking order theory and agency theory.

The purpose of this study is to determine the effects of cash holding, corporate governance, profitability, and leverage on a company's value. In this study, quantitative methods are used. An industrial sector business that was listed on the Indonesian stock exchange between 2020 and 2022 serves as the sample. 126 samples were obtained by applying the purposive sample method to data extracted from the financial accounts. Data analysis techniques include double linear regression analysis and hypothesis testing (t-testing). The findings indicate that the following factors raise a company's value: cash holding, corporate governance, profitability, and leverage.

This research aims to demonstrate the impact of Environmental Performance and Environmental Costs on Financial Performance and Leverage as Intervening variables in manufacturing companies listed on the Indonesian Stock Exchange throughout the period of 2019-2021.This research falls under the category of quantitative research, utilizing secondary data sourced from financial reports or annual reports released by companies listed on the Indonesian Stock Exchange. The data gathering method employed is the purposive sampling technique, with a selection criterion of 50 companies. This results in a total of 150 data points available for analysis. This study employs descriptive analysis techniques and utilizes the SPSS v26 software for data analysis.      Based on the findings of this study, only three hypotheses were confirmed, while the remaining four were disproven. There is no correlation between Environmental Performance and Leverage, but Environmental Costs do have an impact on Leverage. On the other hand, Environmental Performance does influence Financial Performance, while Environmental Costs do not. Financial performance is not influenced by leverage. The relationship between Environmental Performance and Financial Performance is not influenced by Leverage, and Leverage is not considered an Intervening variable. However, there is a significant influence of Environmental Costs on Financial Performance.

This study aims to analyze the factors that influence tax avoidance in pharmaceutical sub-sector companies listed on the Indonesia Stock Exchange. The independent variables analyzed in this study include profitability, sales growth, and leverage. This study uses secondary data in the form of annual financial reports of companies obtained from the official website of the Indonesia Stock Exchange. The method used in this study is multiple linear regression analysis with samples selected through purposive sampling method. This study examines the effect of each independent variable on tax avoidance, which is measured using the Effective Tax Rate (ETR) proxy. The results of the study indicate that profitability has a significant effect on tax avoidance, where companies with higher levels of profitability tend to avoid taxes. Meanwhile, sales growth has a significant effect on tax avoidance. Leverage also shows a positive effect on tax avoidance, indicating that companies with high debt levels tend to use interest expenses to reduce their tax liabilities. This study provides implications for regulators and policy makers to strengthen supervision of tax avoidance practices, especially in companies that have certain characteristics such as high profitability sales growth and leverage.

Numerous businesses are capable of implementing a wide range of tax planning techniques. Tax avoidance, or legally lowering taxes, is one tax planning tactic. Tax avoidance strategies typically use loopholes in the tax code without breaking any of them. In addition, they use tax law gaps to perpetrate tax evasion. While this tax evasion tactic is legal, the corporation using it is still receiving funding from the state. In 2013, 832 foreign investment companies were suspected of engaging in tax fraud in Indonesia due to their five consecutive years of loss reporting and nonpayment of taxes. This study aims to investigate and evaluate the effects of capital intensity, profitability, leverage, and majority share ownership on tax evasion. The Current Effective Tax Ratio is used in this study to generate tax avoidance. Mining businesses that are listed on the Indonesia Stock Exchange for the period of 2017–2021 make up the population and sample for this study. With 37 observational data points, 7 mining companies make up the research sample. A multiple linear regression model is the research methodology employed in this study. Version 22 of the IBM Statistical Package for Social Science was used to process the data for this study. The study's findings demonstrate that tax evasion is not much impacted by profitability or leverage. Conversely, capital intensity and majority share ownership have a detrimental impact on tax evasion.    

Company Value is one of the company's goals to be achieved by maximizing the value of Shares. Company value is also one of the factors considered by investors when investing in the capital market. The company value of the food and beverage sub-sector for the last 5 years since 2017 has decreased significantly in 2019 to 2021. Firm Value is influenced by various factors such as: Managerial Ownership, Institutional Ownership, Profitability and Leverage. The existence of a research gap supported by the gap phenomenon makes further study of the factors that affect firm value still needed. This study aims to provide empirical evidence regarding the influence of Managerial Ownership, Institutional Ownership, Profitability and Leverage in food and beverage sub-sector companies listed on the Indonesia Stock Exchange in 2017-2021. The research population is all food and beverages on the Indonesia Stock Exchange (IDX). The research sample obtained as many as 57 observations through a purposive sampling method. Research using secondary data with analysis techniques using multiple linear regression analysis. The software tool used in the research is SPSS. The results of the study provide evidence of the influence of Managerial Ownership, Institutional Ownership and Leverage on Firm Value. However, there is also empirical evidence that Profitability has no effect on Firm Value. Meanwhile, simultaneously the variables of Managerial Ownership, Institutional Ownership, Profitability and Leverage affect Firm Value.