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This research aims to examine the influence of firm size, operating capacity, and sales growth on financial distress, with profitability serving as a moderating variable. The study employs a purposive sampling technique and selects 96 companies from the primary consumer sector listed on the Indonesia Stock Exchange (IDX) during the 2020–2024 period. The data are analyzed using multiple linear regression and Moderated Regression Analysis (MRA) with the assistance of SPSS version 22. The findings reveal that firm size does not have a significant impact on financial distress, indicating that larger firms do not necessarily experience lower financial risk. In contrast, operating capacity and sales growth have a significant and positive influence on financial distress, suggesting that higher capacity utilization and increased sales activities may heighten financial vulnerability. Furthermore, profitability effectively moderates the relationships between firm size, operating capacity, and sales growth with financial distress. This result highlights the vital role of profitability in strengthening a company’s financial stability and mitigating potential financial distress or bankruptcy.  

Audit tenure, and financial distress in the audit report lag of companies in the property and real estate subsector listed on the Indonesia Stock Exchange (IDX) for the 2022–2024 period. Operational efficiency is then measured using the BOPO ratio. Audit tenure is measured by assigning a score of 1 if the company’s auditor is consistent and adding +1 whenever each year continues and returning 0 if there is a replacement auditor. Financial distress is then calculated using the Grover model, and audit report lag is calculated based on the difference in days between the audit report date and the financial statements. Company size is measured by Ln (Total Assets). Furthermore, the method used in this study is quantitative with a purposive sampling technique analyzed using multiple linear regression and moderated regression analysis. Operational efficiency hazards have a positive and significant effect on audit report lag, meaning that in this case the BOPO ratio has a high probability of being related to delays in longer audit reports. Audit tenure does not have an effect on audit report lag. Furthermore, financial distress has a negative and significant effect, indicating that companies experiencing lower financial difficulties tend to have a shorter audit report lag. Company size strengthens the influence of operational efficiency on audit report lag. Company size also does not moderate the relationship between audit tenure and report lag. Company size weakens the effect of financial distress on audit report delays. These findings demonstrate the importance of maintaining timely audit reporting for investors in decision-making. This study contributes to the literature on auditors and future research.

This study aims to compare and analyze the accuracy levels of four financial distress prediction models—Altman Z-Score, Springate, Grover, and Zmijewski—in anticipating the potential bankruptcy of companies subjected to delisting from the Indonesian Stock Exchange (IDX). The delisting phenomenon, which is strongly linked to severe financial deterioration, provided the core motivation for identifying the most reliable predictive instrument, utilizing secondary data from the annual financial reports of delisted companies during the 2019-2023 observation period. Descriptive analysis techniques were employed to calculate the accuracy rate and Type Error for each model. The comparative results consistently indicate that the Springate Model is the most effective, consistent, and accurate model for predicting financial distress in delisted firms, achieving an accuracy rate of 89% in both the first and second years prior to delisting, while the Altman Z-Score model exhibited lower accuracy (68.75% and 62.50%). This key finding emphasizes the superiority of the Springate Model as a crucial diagnostic tool for investors and regulatory bodies in assessing corporate bankruptcy risk.

This study aims to examine the effect of financial ratios on financial distress in transportation and logistics sector companies listed on the Indonesia Stock Exchange (IDX) during the 2019–2024 period. The research employed a documentation method by collecting secondary data from the companies’ financial statements within the observed period. The financial ratios analyzed include profitability, liquidity, leverage, and activity. The level of financial distress was measured using the Altman Z-Score method. The sample was selected using a purposive sampling technique, consisting of 22 companies observed over six years. Data analysis was conducted using panel data regression with the assistance of EViews 12, with the selected model being the Fixed Effect Model (FEM). The partial test results indicate that profitability, liquidity, leverage, and activity ratios do not have a significant effect on financial distress. However, the simultaneous test results show that the four variables together significantly affect financial distress. These findings suggest that financial ratios cannot serve as a single indicator in assessing a company’s financial distress. Nevertheless, when used collectively and combined with the Altman Z-Score measurement, they can provide a more accurate assessment of a company’s financial distress condition.

This study aims to analyze the effect of audit quality and financial distress on the integrity of financial statements in financial and banking sub-sector companies listed on the Indonesia Stock Exchange (IDX) during the period 2019–2023. The integrity of financial statements is a critical factor in maintaining stakeholders’ trust in the financial information presented by companies. A quantitative approach is used in this study, employing multiple linear regression analysis. Audit quality is measured using audit opinions (Unqualified and Non-Unqualified), while financial distress is assessed using the Z-score method. In this study, audit quality did not affect the integrity of financial reports, while financial distress did. Audit quality and financial did. Audit quality and financial distress jointly affected the integrity of financial reports.

Financial distress refers to a condition where a company experiences financial difficulties and if it is not resolved immediately, it will lead to bankruptcy. Several models can be used to measure financial distress, one of which is the Zmijewski model. This study aims to analyze the influence of financial ratios and macroeconomic factors on financial distress among technology companies listed on the Indonesia Stock Exchange. The research was conducted at technology companies listed on the IDX for the 2020–2024 period, with a sample size of 44 companies selected using a purposive sampling method. The study employed secondary data derived from company financial statements obtained through the official IDX website and analyzed using SPSS version 27. The findings reveal that financial ratios specifically, profitability (ROE) have a significant negative effect on financial distress, while leverage (DER) has a significant positive effect. Meanwhile, macroeconomic factors such as inflation and interest rates have no effect on financial distress.

This study investigates the factors influencing financial distress in plantation sub-sector companies in Indonesia. The data collection method involves a literature study and documentation, while the data analysis techniques encompass classical assumption tests (normality, multicollinearity, autocorrelation, and heteroscedasticity), multiple linear regression analysis, and hypothesis testing (partial, simultaneous, and coefficient of determination). The findings reveal that leverage, liquidity, and profitability both simultaneously and partially have a positive and significant effect on financial distress. These results offer valuable insights into the factors that affect financial distress in the plantation sub-sector, providing a clearer understanding for investors and company management. This study emphasizes the importance of managing leverage, liquidity, and profitability effectively to avoid financial distress, which could disrupt the operational continuity of companies. Additionally, the study serves as a reference for making informed decisions related to financial stability and strategic planning, assisting in mitigating the risks associated with financial distress. By managing these financial factors, companies can improve their resilience and sustainability in the face of challenges, contributing to long-term business success. Furthermore, understanding the role of financial management in preventing financial distress is essential for plantation companies to maintain stable growth. As companies face various financial pressures, the study highlights how proactive financial strategies can help ensure sustained performance and profitability, ultimately supporting their competitive advantage in the industry.

This study aims to analyze the bankruptcy prediction of PT Matahari Department Store Tbk using the Zmijewski method. The Zmijewski method, developed in 1984, is one of the most widely used approaches to predict corporate financial distress through the use of financial ratios. The study covers the period from 2019 to 2023 and applies a quantitative research design. The data used in this study are secondary data obtained from the company’s financial reports. Data collection techniques include documentation and literature study, while the data analysis technique applied is the Zmijewski model, which employs three main ratios: return on assets (X1), debt to assets ratio (X2), and current ratio (X3). The results show that in 2019, 2021, and 2022, the X values were -1.92, -0.29, and -0.25, respectively, indicating that PT Matahari Department Store was not predicted to face potential bankruptcy, as the values were below 0. However, in 2020 and 2023, the X values were 1.51 and 0.85, respectively, suggesting that the company had the potential to go bankrupt, as the results exceeded 0. These findings highlight the financial fluctuations experienced by PT Matahari Department Store during the study period, emphasizing the importance of continuous financial performance evaluation and the use of bankruptcy prediction models as an early warning tool for stakeholders and decision makers.

This study aims to analyze the prediction of financial distress using the Altman Z-Score, Springate, and Zmijewski methods at PT Sri Rejeki Isman Tbk in 2019-2023. This type of research is descriptive research with a quantitative approach. Using secondary data with documentation techniques and literature studies in the form of related company financial reports, books, articles, journals and other publications related to the research topic. The sampling technique was carried out using a purposive sampling method. The sample in this study was obtained using a purposive sampling technique and obtained as many as 5 financial reports from the company PT Sri Rejeki Isman Tbk for the period 2019-2023. The results of the study show that the results of calculations using the Altman Z-Score method indicate that in 2019-2023 PT Sri Rejeki Isman Tbk experienced fluctuations in the company consistently still in the category of bankruptcy, the Springate method shows that the company experienced a decline in its financial performance, and the Zmijewski method shows that companies that experience fluctuations in financial performance conditions, Although there are fluctuations in the X-Score value and improvements in certain years.

Unstable financial conditions in insurance companies can serve as an early indicator of potential bankruptcy, which may have wide-ranging impacts on policyholders, shareholders, and the overall stability of the financial sector. Therefore, early detection of bankruptcy risk is critically important. This study aims to evaluate the effectiveness of the Springate model in identifying potential bankruptcy among insurance companies listed on the Indonesia Stock Exchange during the 2022–2024 period. The Springate model was chosen due to its simplicity and its ability to provide quantitative insights into a company's financial condition. Data were collected from the annual financial statements of 16 companies selected through purposive sampling based on the completeness and consistency of their financial reporting. The model applies the S-Score calculation as the basis for classifying companies into financial distress or non-financial distress categories. The analysis revealed that six companies consistently exhibited signs of financial difficulty, with three of them identified as being in a state of financial distress for three consecutive years. Meanwhile, the other ten companies demonstrated stable and healthy financial conditions throughout the observation period. These findings indicate that the Springate model is reasonably practical as an early detection tool for bankruptcy risk, particularly in the insurance sector, which is influenced by various internal factors such as risk management, as well as external factors like economic fluctuations and government regulations. Therefore, this model can be utilized as a decision-support tool for both management and investors in making strategic financial decisions.

The phenomenon of tax avoidance in Indonesia remains a significant issue, one of which is the case of PT. Adaro Energy Tbk, which practiced tax avoidance through transfer pricing to its subsidiary in Singapore, Coaltrade Service International, from 2009 to 2017. Based on this phenomenon, this study aims to analyze the effect of leverage and profitability on tax avoidance with transfer pricing as a moderating variable in coal subsector energy companies listed on the Indonesia Stock Exchange (IDX) for the 2021–2023 period. This study uses descriptive analysis methods, classical assumption tests, Moderated Regression Analysis (MRA), and hypothesis testing with t-tests. The data processing tool used is SPSS version 23. The study population consisted of 45 companies, and through purposive sampling technique, 12 companies were obtained as samples with a three-year observation period, resulting in a total sample of 36 data. The results show that leverage has a positive effect on tax avoidance, while profitability has no effect on tax avoidance. Meanwhile, transfer pricing has a negative effect on tax avoidance. Interestingly, transfer pricing has been shown to strengthen the relationship between leverage and tax avoidance, as well as the relationship between profitability and tax avoidance. This finding confirms that "transfer pricing can be a significant moderating factor in corporate tax management strategies." Therefore, the results of this study contribute to understanding tax avoidance practices in the coal subsector for companies and regulators, as well as providing policy implications for tax regulations in Indonesia.

This study aims to examine the effect of liquidity, profitability, leverage, and accounts receivable turnover on financial distress. The sample used in this study is banking companies listed on the Indonesia Stock Exchange (IDX) for the 2021-2024 period. The population sample in this study is 47 companies. The sample was determined using a purposive sampling method, resulting in 10 companies. The type of data for this study is secondary data obtained from www.idx.co.id. The analytical method used was multiple regression analysis. The results of this study indicate that simultaneously, the variables liquidity, profitability, leverage, and accounts receivable turnover significantly influence financial distress. Partially, the liquidity variable has a negative and significant effect on financial distress, while the profitability variable has a negative and significant effect on financial distress. Leverage and accounts receivable turnover have no effect on financial distress. Furthermore, the Adjusted R-square coefficient is 95.3%, indicating that 4.7% is influenced by other variables. These findings suggest that companies with better liquidity and profitability levels have a lower probability of experiencing financial distress. This aligns with the theory that high liquidity ensures the availability of cash to meet short-term obligations, while strong profitability supports operational sustainability and investor confidence. On the other hand, leverage and accounts receivable turnover did not significantly affect financial distress, which may indicate that banking companies have a more stable debt structure and effective credit management, reducing their influence on distress conditions. This research provides practical insights for company management, investors, and regulators. For managers, maintaining optimal liquidity and profitability levels is essential to prevent financial difficulties. For investors, liquidity and profitability indicators can serve as reliable references for investment decision-making.

This study aims to predict the potential bankruptcy of PT Argo Pantes Tbk for the period 2014–2024 using the Zmijewski X-Score model. The research adopts a quantitative method based on secondary data obtained from the company’s published annual financial statements. The Zmijewski model was selected because of its effectiveness in assessing companies with unstable financial conditions and its ability to provide a more accurate reflection of financial distress compared to other models. The analysis process involved calculating the X-Score for each year within the observation period and interpreting the results according to the criteria of the model. The findings indicate that for the entire study period, the calculated X value was consistently greater than or equal to zero. This outcome signifies that the company is in a condition classified as potentially bankrupt. Furthermore, the model demonstrated 100% accuracy in describing the company’s actual financial situation, since PT Argo Pantes Tbk consistently recorded net losses throughout the period of analysis. These losses were not incidental but reflected a long-term pattern of weak financial performance, limited profitability, and declining competitiveness in the textile industry. The results highlight that PT Argo Pantes Tbk has been operating under severe financial distress for a prolonged period, with no indication of recovery during the years observed. The persistent losses and negative financial indicators reinforce the conclusion that the company is in an unhealthy condition. The study confirms the applicability and reliability of the Zmijewski X-Score as a bankruptcy prediction tool in the Indonesian context, particularly for firms experiencing prolonged instability. Overall, the study provides valuable insights into financial distress analysis and underscores the importance of early bankruptcy prediction models in supporting stakeholders, investors, and regulators in making informed decisions.

This research is motivated by significant fluctuations and a decline in profits for companies in the clothing and luxury goods subsector listed on the IDX for the period 2021-2023, indicating potential financial difficulties. This research aims to evaluate the company's condition using four prediction models, namely Altman-ZScore, Springate, Fulmer, and Taffler, and to determine the most suitable model for the sector. The method applied is quantitative comparative with a purposive sample of 11 companies, using financial statement data from 2021-2023 and analyzed using the formulas for each predictive model. The research findings indicate that the four models produce different predictions regarding the company's financial condition. Additionally, there are differences in the accuracy levels of the four models. The Springate and Taffler models achieved the highest accuracy rate of 85%, followed by Altman at 67% and Fulmer at 64%. The findings of this study confirm that the Springate model is the most reliable tool for early warning for companies and stakeholders, enabling faster preventive measures to prevent bankruptcy.

This study aims to analyze the influence of Accounting Conservatism, Corporate Governance, and Financial Distress on Tax Aggressiveness in non-cyclical consumer sector companies listed on the Indonesia Stock Exchange (IDX) during the period 2019 to 2023. This study uses a quantitative approach with secondary data in the form of annual financial reports of sample companies. Sampling was carried out using a purposive sampling technique, resulting in 14 companies that met the research criteria with a total of 70 observations over five years. The analysis method used is panel data regression, and testing was conducted using E-Views 12 software. The main objective of this study is to determine the extent to which conservatism practices in financial reporting, corporate governance, and the company's financial condition (in the context of financial distress) can influence the company's tendency to engage in tax aggressiveness, namely efforts to minimize the tax burden legally but aggressively. The results of the study indicate that simultaneously, the three independent variables—accounting conservatism, corporate governance, and financial distress—have a significant influence on tax aggressiveness. However, only corporate governance (as proxied by institutional ownership) and financial distress were found to have a significant influence on tax aggressiveness. In contrast, accounting conservatism and corporate governance, as proxied by managerial ownership, did not show a significant influence. These findings suggest that companies with high institutional ownership tend to be better able to control aggressive tax management practices, while financial distress encourages management to seek tax efficiency measures as a survival strategy. This research contributes to the interests of regulators and stakeholders in understanding the factors influencing tax aggressiveness in vital industrial sectors such as non-cyclical consumer goods.

This study aims to investigate the effects of liquidity, financial leverage, capital structure, and operating cash flow on financial performance, with financial distress serving as a mediating variable. The population comprises transportation and logistics companies listed on the Indonesia Stock Exchange (IDX) from 2019 to 2023, totaling 37 companies. The sample includes 20 companies, with quarterly financial reports yielding 400 observations. Secondary data were employed, and purposive sampling was utilized for sample selection. The analysis was conducted using panel data analysis at a 5% significance level, facilitated by STATA Version 17 software. Mediation was tested utilizing the Sobel test with a critical value of 1.96. The results reveal that liquidity significantly impacts both financial distress and financial performance; financial leverage significantly affects both financial distress and financial performance; capital structure significantly influences financial distress but does not significantly affect financial performance; operating cash flow does not significantly impact financial distress but significantly affects financial performance. Collectively, liquidity, financial leverage, capital structure, and operating cash flow significantly influence financial distress. Furthermore, liquidity, financial leverage, capital structure, operating cash flow, and financial distress together have a significant effect on financial performance. Mediation analysis indicates that financial distress significantly mediates the relationships between liquidity, financial leverage, capital structure, and financial performance, whereas financial distress does not significantly mediate the effect of operating cash flow on financial performance. It is recommended that transportation and logistics companies listed on the IDX actively enhance liquidity, optimally manage leverage and capital structure, and strengthen operational cash flow management to minimize financial distress risk and sustain financial performance.

This study examines how Environmental, Social, and Governance (ESG) performance influences financial distress, incorporating cost of debt as a moderating variable. Financial distress is proxied by the Interest Coverage Ratio (ICR), reflecting a firm’s capacity to satisfy interest payments. The empirical sample consists of 655 firm-year observations of non-financial companies listed on the Indonesia Stock Exchange from 2014 to 2023. Panel regression with fixed effects and heteroskedasticity-consistent estimation (Panel EGLS with cross-section weights) is employed to analyze the data. Results indicate that ESG performance exerts a positive and statistically significant effect on ICR (β = 0.1189; p < 0.01), implying that firms with robust ESG practices are better able to service their debt and thus face lower financial distress. Additionally, the interaction term between ESG and cost of debt yields a negative and significant coefficient (β = −0.9714; p < 0.05), suggesting that elevated financing costs attenuate the beneficial impact of ESG on financial resilience. These findings are consistent with stakeholder theory, which advocates that proactive engagement with stakeholders enhances corporate stability, and trade-off theory, which underscores the necessity of balancing debt advantages against financial risk. This research contributes to the literature by demonstrating the conditional effect of cost of debt on the ESG–financial distress nexus. From a managerial perspective, the study underscores the importance of integrating ESG initiatives with cost-efficient funding strategies to mitigate financial distress risk and foster sustainable, long-term value creation.

This study focuses on analyzing the factors influencing auditor switching in telecommunications companies listed on the Indonesia Stock Exchange (IDX) for the 2021–2024 period, by examining the variables of management turnover, audit committee, financial distress, auditor reputation, and audit fees. The study was conducted using a quantitative approach utilizing secondary data in the form of annual financial reports. The sample size was determined using a purposive sampling technique for 55 companies. Auditor switching served as the dependent variable, measured by a dummy variable, while the other five variables served as independent variables. The analysis results indicate that none of the independent variables significantly influenced auditor switching decisions. This suggests that auditor switching decisions in companies are more influenced by strategic factors, such as the company's need to obtain audit services that better align with its business vision and auditor competency, which is considered capable of maintaining the credibility of financial reports. These findings emphasize the importance of a continuous relationship between auditors and clients as part of efforts to maintain the quality, consistency, and independence of the resulting audit. The practical implication of this study is that companies need to prioritize professionalism, audit quality, and long-term partnerships with auditors, rather than solely considering internal factors such as management structure or financial pressure. From a regulatory perspective, this research provides important input for strengthening regulations and oversight regarding audit quality and auditor independence, rather than solely focusing on auditor switching frequency. Thus, this study expands the literature on auditor switching dynamics and confirms that audit success is determined more by the quality of relationships and competence than by internal technical factors alone.

This study examines the Earnings Response Coefficient (ERC) as an indicator of market reaction to earnings announcements, focusing on several determining factors: Corporate Social Responsibility (CSR), financial distress, corporate growth, firm size, and earnings persistence. The primary issue addressed is the inconsistency of previous empirical findings regarding the influence of these factors on ERC, which motivates this study to reassess these relationships through a Systematic Literature Review (SLR) approach. The SLR method was employed to systematically collect, analyze, and synthesize evidence from prior studies to obtain a more comprehensive understanding. The findings reveal that CSR and earnings persistence produce mixed results—some studies show positive, negative, or insignificant effects on ERC—reflecting contextual differences and variations in investor perceptions. Meanwhile, financial distress and firm size generally have a significant positive impact on ERC, suggesting that larger firms and those perceived as financially stable are more likely to receive stronger market reactions. Corporate growth, on the other hand, mostly shows no significant effect. The synthesis highlights that the relationship between these factors and ERC is context-dependent, influenced by company characteristics and the level of information transparency provided to investors. This study concludes by emphasizing the need for a more integrative and contextual approach in analyzing the determinants of ERC and recommends further research to deepen understanding of how market responses to earnings information are shaped by these factors.

This study aims to examine the influence of profitability and firm size on financial distress  in companies operating within the consumer cyclicals sector listed on the Indonesia Stock Exchange during the 2021–2023 period. Financial distress  was assessed using the Altman Z-Score model. A quantitative approach was employed, utilizing purposive sampling to select a final sample of 101 companies. The analysis was conducted using panel data regression with a fixed effect model. The results indicate that profitability has a positive and statistically significant effect on financial distress , while firm size exerts a negative and significant influence. These findings suggest that companies with higher profitability are generally more resilient to financial distress , whereas larger firms may still be exposed to financial vulnerabilities if not managed effectively.