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This study aims to analyze the effect of capital structure, asset growth, and firm size on firm value in plastic and packaging sub-sector companies listed on the Indonesia Stock Exchange during the 2020–2024 period. Firm value is proxied by Price to Book Value (PBV), capital structure is measured using the Debt to Equity Ratio (DER), asset growth is measured by the asset growth ratio, and firm size is measured using the natural logarithm of total assets. This research employed an explanatory quantitative approach using secondary data obtained from financial statements, annual reports, and stock price data. The sample consisted of 11 companies observed over five years, resulting in 55 panel data observations. Data were analyzed using panel data regression through the Common Effect Model, Fixed Effect Model, and Random Effect Model, with model selection based on the Chow, Hausman, and Lagrange Multiplier tests. The results indicate that capital structure, asset growth, and firm size have no significant effect on firm value, either partially or simultaneously. These findings suggest that firm value in the plastic and packaging sub-sector is not sufficiently explained by financing structure, asset expansion, or company size. Investors are more likely to consider other factors, such as profitability, operational efficiency, cash flow, sales growth, raw material risk, and sustainability prospects. Therefore, companies should improve financial performance, asset efficiency, cost control, and sustainable innovation to enhance firm value.

This study examines the effects of Net Profit Margin, audit opinion, and firm size on audit delay among construction companies listed on the Indonesia Stock Exchange from 2019 to 2025. Audit delay is measured as the period between the fiscal year-end and the issuance date of the independent auditor’s report. Timely financial reporting is particularly important in the construction sector due to its complex long-term projects, progress-based revenue recognition, cost estimation, and high financial risks. Using a quantitative approach, the study analyzes secondary data from annual financial statements and independent auditor reports. The sample includes 14 construction companies observed over seven years, producing 98 observations. Panel data regression was conducted using EViews, with the Chow, Hausman, and Lagrange Multiplier tests identifying the Random Effect Model as the most appropriate estimation method. The findings show that Net Profit Margin does not significantly affect audit delay. In contrast, audit opinion and firm size have negative and significant effects, indicating that favorable audit opinions and larger company size are associated with shorter audit completion periods. Collectively, the three variables significantly influence audit delay, although they explain only 15.75% of its variation.

This study aims to assess the financial performance of 11 non-financial companies that conducted acquisitions in 2025 and are listed on the Indonesia Stock Exchange (IDX). Using a quantitative descriptive-comparative approach with a case study design, six financial ratios were analyzed: Current Ratio (CR), Debt to Asset Ratio (DAR), Debt to Equity Ratio (DER), Total Asset Turnover (TATO), Return on Assets (ROA), and Return on Equity (ROE). Data were obtained from consolidated financial statements as of December 31, 2024 (pre-acquisition) and December 31, 2025 (post-acquisition). The results show that the impact of acquisitions varies across companies. No consistent or significant differences were found in the CR, DAR, DER, ROA, or ROE ratios between the two periods. Meanwhile, the TATO ratio tended to decrease after the acquisition, indicating that the newly consolidated assets have not yet operated optimally. These findings confirm that the short-term financial impact of an acquisition is heavily influenced by the transaction’s funding structure, the size of the acquired entity, and the industry sector. This study contributes to the financial accounting literature on corporate acquisition strategies in the Indonesian capital market.

This study aims to examine the influence of capital intensity,  Return on Assets (ROA), liquidity, and company size on the Cash Effective Tax Rate (CETR) as a proxy for tax avoidance in energy sector companies listed on the Indonesia Stock Exchange for the 2020–2024 period. This study uses a quantitative approach with secondary data in the form of annual financial statements. The sample was determined using a purposive sampling technique and obtained 16 companies during five years of observation, resulting in 80 observation data. Data analysis was carried out using multiple linear regression with the help of SPSS 29 software. The analysis stage began with a classical assumption test, then continued with multiple linear regression analysis, as well as hypothesis testing. The results showed that partially capital intensity and ROA had a significant effect on CETR, while liquidity and company size had no significant effect on CETR. Simultaneously, all independent variables had a significant effect on CETR, with a determination coefficient value of 25%.

This study aims to examine the influence of board characteristics (educational background, tenure diversity, age diversity, and board size) and ownership structure (institutional ownership and foreign ownership) on Corporate Social Responsibility Disclosure. The theoretical basis for explaining the research findings is stakeholder theory and upper echelon theory. The data sample for this study is consumer sector companies, namely cyclical consumers and non-cyclical consumers listed on the Indonesia Stock Exchange in the 2021-2024 period, with a total of 368 observations. The sample determination used nonprobability sampling techniques and purposive sampling methods. Data analysis in this study was conducted using multiple linear regression methods with the assistance of the EViews 13 software. The results show that educational background and foreign ownership have no effect on CSR disclosure. Meanwhile, tenure diversity, age diversity, board size, and institutional ownership have a positive and significant effect on CSR disclosure. These findings support stakeholder theory, which emphasizes that companies are required to fulfill stakeholders’ information needs through transparent CSR disclosure. Furthermore, the research results also support the upper echelon theory which explains that the characteristics of the board of directors influence the company's strategic decision-making, including decisions related to CSR disclosure.

This study aims to analyze the effect of profitability, company size, and type of public accounting firm on Key Audit Matters (KAM), with audit fees as a moderating variable in manufacturing sector companies listed on the Indonesia Stock Exchange for the 2022–2024 period. This study used a quantitative approach with a purposive sampling method. Data were obtained from audited financial statements and annual reports published on the official Indonesia Stock Exchange website. The study sample consisted of 67 companies, with a total of 201 observations. Data analysis techniques used included descriptive statistical analysis, classical assumption tests, multiple linear regression, and Moderated Regression Analysis (MRA). The results showed that profitability had a significant negative effect on KAM disclosure, while company size had a significant positive effect on KAM disclosure. The type of public accounting firm showed a significant negative effect on KAM disclosure. Furthermore, audit fees did not moderate the relationship between profitability and KAM, but they did moderate the relationship between company size and type of public accounting firm on KAM disclosure. This study demonstrates that company and auditor characteristics play a significant role in determining the disclosure of Key Audit Matters in the independent auditor's report.

This study aims to analyze the effect of Good Corporate Governance (GCG), Firm Size, and Sales Growth on Financial Performance at PT Ace Hardware Indonesia Tbk listed on the Indonesia Stock Exchange (IDX) during the 2015–2024 period. Good Corporate Governance (GCG) in this study is proxied by institutional ownership, financial performance is measured using Return on Assets (ROA), firm size is measured by the natural logarithm of total assets, and sales growth is measured using the sales growth ratio. This study employed a quantitative method with a descriptive approach. The data used were secondary data in the form of annual financial statements obtained from the official websites of the IDX and the company. Data analysis techniques included descriptive statistics, classical assumption tests, multiple and simple linear regression analysis, and hypothesis testing consisting of t-test, F-test, and coefficient of determination with the assistance of SPSS version 27 software. The results of the study indicate that partially, the Good Corporate Governance (GCG) variable has a t-value of -1.526 < t-table 2.447, meaning that it has no significant effect on financial performance. The firm size variable has a t-value of -2.857 > t-table 2.447, indicating a significant negative effect on the company’s financial performance. The sales growth variable has a t-value of 1.593 < t-table 2.447, meaning that it has no significant effect on financial performance. Simultaneously, Good Corporate Governance (GCG), firm size, and sales growth have a significant effect on financial performance, with an F-value of 13.023 > F-table 4.76 and a significance value of 0.005 < 0.05. This study is expected to provide consideration for management and investors in decision-making and serve as a reference for future research in related fields.

The consumer non-cyclical sector in Indonesia has continued to demonstrate a growing contribution to the national economy,given that this sector is directly related to the provision of goods needed by the community on a daily basis. This study aims to determine the partial effects of Sales Growth, Asset Structure, Company Size, and Profit on Capital Structure. The population determination technique used non-probability sampling, specifically purposive sampling, with a research pupulation of 129 companies in the non-cyclical consumer sector and a research sample of 74 companies in the non-cyclical consumer sector, with analysis using multiple linear regression through SPSS version 27 and Microsoft Office 2024. The results indicate that Sales Growth does not affect Capital Structure, Asset Structure has a positive and significant effect on Capital Structure, Company Size does not affect Capital Structure, and Profitability has a negative and significant effect on Capital Structure

This study aims to determine the effect of tax planning and capital structure on firm value, with firm size as a moderator. The population in this study is all non-cyclical consumer companies in the food and beverage subsector listed on the Indonesia Stock Exchange (IDX) for the 2020-2024 period. The type of research used in this study is quantitative associative with secondary data. The research sample was determined using a purposive sampling technique. Based on this technique, 24 companies were obtained that met certain criteria. The panel data regression technique used in this study is the Random Effect Model. Testing of panel data regression and moderation regression uses the E=views 13 application. The results of this study indicate that tax planning partially has no effect on firm value, while capital structure does affect firm value. The results simultaneously show that tax planning and capital structure affect firm value. The results of this study also indicate that firm size weakens the relationship between tax planning and firm value, and firm size is also unable to moderate or weaken the relationship between capital structure and firm value.

This study examines how environmental, social, and governance issues shape the impact of financial success on firm value. To understand the link between the variables, the legitimacy theory and signal theory are employed. The population used includes non-financial enterprises from 2019–2023 that are listed on the Indonesia Stock Exchange (IDX) and are part of the Refinitiv database. Secondary data was gathered from the Indonesia Stock Exchange, official corporate websites, and the Refinitiv database in the form of sustainability reports, annual reports, and ESG scores. The sample size is 176 company data points over 5 years, selected using the purposive sampling method. Firm value is positively and significantly impacted by financial success, according to the research findings. ESG also improves the link between firm value and financial performance, according to the study. Lastly, the study's results also show that ESG increases business value, while not significantly. These findings suggest that the study's ESG variable is a pure moderator variable. Furthermore, the implications of the research both theoretically and practically have been discussed.

Blasting is a critical method for overburden removal in open-pit coal mines, where fragmentation quality directly impacts loading efficiency and operational costs. This study aims to analyze the actual fragmentation resulting from overburden blasting at Pit 4 Middle of PT. Victor Dua Tiga Mega, Central Kalimantan, to predict fragmentation using the Kuz-Ram model, and to evaluate the conformity of both results against the company standard (boulder size ≤144.6 cm or ≥50 cm for analysis). The research employed a quantitative comparative method. Primary data included blasting geometry and photographs of muck piles from 10 blasting events, which were analyzed using WipFrag software to obtain actual fragmentation distribution. Secondary data comprised rock characteristics and explosive properties for Kuz-Ram prediction input. The results showed significant variation in actual boulder percentage (≥50 cm), ranging from 6.19% to 32.91% with an average of 16.05% (medium category). Statistical analysis revealed a very weak negative correlation (r = -0.21) between powder factor (PF) and boulder percentage, indicating that PF is not the dominant factor within the consistent application range (0.21-0.23 kg/bcm). Comparison with Kuz-Ram predictions showed that the model consistently over-predicted coarse material, with an average difference of +25.21%, suggesting the need for rock factor (A) recalibration. It is concluded that the blasting results are inconsistent, strongly influenced by uncontrollable factors such as geological conditions. Recommendations include geometri evaluation, particularly burden and spacing, and calibration of the Kuz-Ram model for more accurate future predictions.

This study examines the effect of capital structure, dividend policy, and firm size on firm value at PT Adhi Karya (Persero) Tbk during the period 2014–2024. The company’s firm value has shown fluctuations and a declining trend despite an increase in total assets, indicating a mismatch between asset growth and market perception. This study aims to analyze the influence of internal financial factors on firm value, both partially and simultaneously. A quantitative approach is employed using secondary data obtained from the company’s annual financial statements. Capital structure is measured using the Debt to Equity Ratio (DER), dividend policy using the Dividend Payout Ratio (DPR), firm size using the natural logarithm of total assets, and firm value using Tobin’s Q. Data are analyzed using multiple linear regression with the assistance of SPSS, supported by classical assumption tests, t-test, F-test, and coefficient of determination (R²). The results show that partially, capital structure and dividend policy do not have a significant effect on firm value, while firm size has a significant effect. Simultaneously, all independent variables have a significant effect on firm value. The findings indicate that firm size plays a dominant role, while other factors may also influence firm value beyond the model.

This research investigates how profitability, leverage, activity levels, and company scale impact financial distress in property and real estate firms traded on the Indonesia Stock Exchange. The selection of this sector stems from its high exposure to economic ups and downs, leaving its businesses particularly prone to financial troubles. Independent factors in the analysis include profitability, leverage, activity, and firm size, with financial distress serving as the outcome variable. Samples were drawn via purposive sampling from property and real estate entities listed on the Indonesia Stock Exchange over the 2022–2024 timeframe. Adopting a quantitative design, the study applies multiple linear regression as its core analytical tool. STATA version 17 handled the data analysis. Results show that, taken together, the independent variables exert a significant impact on financial distress. Ultimately, firms should optimize their financial metrics and pursue business growth to mitigate financial distress risks.

Indonesia's increasing economic growth has intensified competition in the business world, particularly in the Indonesian banking sector, from conventional to sharia-compliant. Furthermore, the entry of foreign banks has made business activities in Indonesia increasingly complex. The stock market is a crucial source of funding for companies. Publicly listed companies can increase their funding sources by selling ownership in the capital market. Dividends are the distribution of company earnings to shareholders in the form of cash, assets, or other forms. Dividend policy is a policy for sharing company profits with shareholders, which is announced in the form of dividends and retained earnings for the benefit of company growth. The proportion of dividends distributed to shareholders depends on the company's profitability and dividend policy. The percentage of profits distributed to shareholders in the form of dividends is called the Dividend Payout Ratio.Differences in calculations in determining financial ratios in banking companies are an interesting focus in this study. The study results show quite significant results between financial ratios and managers' decisions in making dividend policy decisions. In the future, the results of this study are expected to be a consideration and reference for investors who want to enter the world of investment, especially in the banking sector.

This study was conducted at PT. Asmin Bara Bronang, Sepan Uring Village, Kapuas Tengah District, Kapuas Regency, Central Kalimantan Province, with the aim of analyzing the productivity and influencing factors of the PC 300 excavator in coal getting activities to support the achievement of production targets. The objective of this research is to analyze the actual productivity and the factors affecting it in Sector 7 coal getting operations. The research method used field observation with a quantitative descriptive analysis approach. The results show that the productivity of the PC 300 excavator ranges from 127.12 to 224.29 tons/hour, with an average of 173.98 tons/hour. In several conditions, the productivity is still below the company’s target of 180 tons/hour. The analysis indicates that productivity is influenced by material conditions, particularly the Hardgrove Grindability Index (HGI) value of 47, which reflects relatively harder material with coarser particle size, and a moisture content of 22.71%, causing the material to be sticky and cohesive, thereby affecting the bucket filling process. In addition, operational factors such as bottom loading patterns, limited number of tailgate dump trucks, and suboptimal selection of dump truck types also contribute to productivity performance.  Based on the findings, it can be concluded that the productivity of the PC 300 excavator has not consistently met the company’s target. Therefore, improvement efforts are required, including the implementation of top loading methods, increasing the number of tailgate dump trucks, optimizing the selection of hauling equipment, and controlling material conditions that affect the digging process.    

This stuidy analyzeis thei influieincei of Suistainability Reiport Disclosuirei (SRD), Good Corporatei Goveirnancei (GCG), and company sizei on firm valuiei, with profitability as a meidiating variablei, in food and beiveiragei suibseictor companieis listeid on thei Indoneisia Stock Eixchangei (IDX) duiring thei 2022–2024 peiriod. Data proceissing was peirformeid uising thei SEiM-PLS meithod with thei assistancei of SmartPLS 4.0 softwarei. Thei reiseiarch findings indicatei that SRD doeis not havei a significant impact on profitability, buit contribuiteis significantly positiveily to firm valuiei. Meianwhilei, GCG has a significant neigativei eiffeict on profitability and has no direict eiffeict on firm valuiei. Firm sizei also doeis not affeict profitability, buit has a significant neigativei eiffeict on firm valuiei. Fuirtheirmorei, profitability is provein to havei a positivei and significant eiffeict on firm valuiei and fuinctions as a meidiator in thei reilationship beitweiein GCG and firm valuiei. Howeiveir, profitability doeis not meidiatei thei reilationship beitweiein SRD and firm sizei on firm valuiei. Oveirall, thei reiseiarch reisuilts eimphasizei that profitability is thei main deiteirminant of firm valuiei, whilei SRD has a strongeir impact throuigh reipuitational aspeicts than throuigh improving financial peirformancei.

This study aims to analyze the effect of production costs and sales volume on profit with firm size as a moderating variable in food and beverage sector companies listed on the Indonesia Stock Exchange (IDX) during the 2020–2024 period. This study used a quantitative approach with an associative research design. The data used were secondary data obtained from annual financial statements of food and beverage companies listed on the IDX. The sampling technique used purposive sampling and obtained 110 observations. The analysis method employed was Moderated Regression Analysis (MRA) using IBM SPSS Statistics. The results of the study indicate that production costs do not have a significant effect on company profit. Meanwhile, sales volume has a positive and significant effect on profit. Firm size has a negative and significant effect on profit. Furthermore, firm size is unable to moderate the relationship between production costs and profit as well as the relationship between sales volume and profit. The coefficient of determination test shows that the independent and moderating variables are able to explain 56.8% of the variation in company profit, while the remaining 43.2% is explained by other variables outside the research model. This study implies that companies need to focus more on increasing sales volume and improving operational efficiency to enhance profitability.

One of the most actively traded and liquid stock groups in the capital market is the LQ45 index, which consistently attracts investor attention due to its strong market capitalization and transaction volume. This study aims to analyze the influence of financial performance and financial management strategies on firm value among companies listed in the LQ45 index on the Indonesia Stock Exchange during the 2018–2022 period. The study population consisted of 73 LQ45-indexed companies, with purposive sampling used to select 23 companies that met the research criteria. This research employed a quantitative approach using path analysis to examine both direct and indirect relationships among variables. The findings indicate that profitability and leverage have a positive and significant effect on firm value. In addition, profitability and leverage also positively influence firm size, indicating that companies with stronger profitability and effective debt management tend to expand their operational scale. However, firm size does not significantly affect firm value and is unable to mediate the relationship between profitability, leverage, and firm value. These results suggest that investors place greater emphasis on profitability and leverage indicators than company size when evaluating firm value in LQ45 companies. Therefore, effective financial performance remains the primary factor in enhancing corporate value and investor confidence.

Food and beverage companies must maintain a robust capital structure to compete effectively amidst the intense pressures of globalization and achieve their strategic objectives. This study aims to examine the impact of profitability, asset structure, company size, and solvency on the capital structure of food and beverage firms listed on the Indonesia Stock Exchange (IDX) and included in the LQ45 index. This study uses an explanatory method with purposive sampling technique, where samples are determined based on companies that have completed financial reports during the research period and are indexed in LQ45. Data analysis was performed using t-tests and F-tests. The results show that profitability (ROA), asset structure, and company size (Ln Total Assets) do not have a significant partial effect on capital structure (DER), meaning that these three factors do not directly influence companies' decisions on the use of debt for financing. However, solvency (DAR) was found to have a significant effect on capital structure, indicating that a company's ability to meet its long-term obligations plays an important role in determining the level of debt used for operational financing. Simultaneously, the four independent variables had a significant effect on capital structure, meaning that all variables together contributed to influencing food and beverage companies' decisions in determining their financing strategies.

Dividend payment is an important financial decision that reflects a company’s performance and prospects from the perspective of investors. However, companies included in the LQ45 index still experience fluctuations in dividend payment policies from year to year. This study aims to analyze the effect of leverage, firm size, profitability, and liquidity on dividend payments of companies listed in the LQ45 index on the Indonesia Stock Exchange (IDX) during the 2023–2024 period. This research employs a quantitative approach using secondary data obtained from published financial statements. The sample was selected using a purposive sampling method, resulting in 33 companies with a total of 60 observations. Data analysis was conducted using panel data regression with the assistance of SPSS software. Leverage is measured by the Debt to Asset Ratio (DAR), firm size by the natural logarithm of total assets (LnTA), profitability by Return on Assets (ROA), liquidity by the Current Ratio (CR), and dividend payment by the Dividend Payout Ratio (DPR). The results show that leverage, firm size, profitability, and liquidity simultaneously have a significant effect on dividend payments. Partially, firm size and profitability have a positive and significant effect on dividend payments, while leverage and liquidity do not have a significant effect. These findings indicate that companies with larger firm size and higher profitability tend to have a greater ability to distribute dividends to investors.