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This study investigates the relationship between Environmental, Social, and Governance (ESG) performance and corporate financial distress, with board gender diversity examined as a moderating variable. Using 96 firm-year observations from manufacturing companies listed on the Indonesia Stock Exchange (2022–2024), the analysis employs variance-based Structural Equation Modelling (SEM). The findings reveal that ESG performance does not exert a statistically significant effect on financial distress, and gender diversity does not moderate this relationship. These non-significant results constitute the central empirical contribution of the study, highlighting that ESG engagement and gender diversity have yet to translate into financial resilience in the Indonesian manufacturing context. The study underscores the importance of contextual factors—such as implementation costs, authenticity of ESG disclosures, and limited female representation on boards—in shaping the effectiveness of sustainability practices. The results provide theoretical implications for Stakeholder and Agency Theory and offer practical insights for managers, regulators, and investors in emerging markets.

This study aims to evaluate the effects of profitability, leverage, liquidity, and cash-flow shocks on the financial distress of companies in the hotel, restaurant, and tourism subsector listed on the Indonesia Stock Exchange during the period 2021 to 2024. The research approach employed is quantitative, using logistic regression analysis. The data analyzed are secondary data obtained from the annual financial statements of the respective companies. The results of the study indicate that, simultaneously, the four independent variables significantly influence financial distress. However, based on partial testing, each variable, namely Return on Assets (ROA), Debt to Equity Ratio (DER), Current Ratio (CR), and cash flow shock, does not show a significant relationship with financial distress. These findings imply that the risk of financial distress in this industry cannot be explained solely through a single financial indicator; instead, a more holistic approach is required. This study provides essential contributions to both management and investors in assessing companies' financial condition and formulating appropriate strategic decisions.

In the investment world, stock returns are the leading indicator of a company’s performance and the basis for investor decision-making in the capital market. Fluctuations in stock returns reflect market expectations of the company’s prospects. The retail sector in Indonesia is facing significant pressure from post-pandemic shifts in consumer behavior and increased competition. This study aims to analyze the effect of financial distress, company size, liquidity, operating cash flow, and accounting profit on stock returns in retail sub-sector companies listed on the Indonesia Stock Exchange (IDX) during the period 2021 to 2023. This type of research is causally associated with a quantitative approach. The data used is secondary, in the form of financial statements from retail companies. The sampling technique used was purposive, yielding a total of 39 data points from 13 retail companies. Data testing was carried out using SPSS version 24. The results showed that partially, the variables of financial distress, company size, liquidity, and accounting profit had no significant effect on stock returns. Meanwhile, operating cash flow positively impacts stock returns. These findings indicate that fundamental indicators are not always the main determinants of stock returns. Therefore, investors are advised also to consider external factors such as market sentiment, macroeconomic conditions, and government policies that may have a greater influence on stock performance in the capital market.

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.

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 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 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 analyze the influence of factors such as financial distress (FD), firm size (SIZE), liquidity (CR), and operating cash flow (OCF) on stock returns in the food and beverage sub-sector industry listed on the Indonesia Stock Exchange (IDX) from 2019 to 2023. The issue addressed relates to the importance of analyzing internal company factors in affecting stock returns, particularly in the consumer goods industry. The data used in this study is sourced from annual financial reports published by the companies, with a sample size of 40 data points from 8 companies selected through purposive sampling. In this study, data analysis was conducted using multiple linear regression methods via the STATA application. The findings of the study indicate that both financial distress and firm size have a significant impact on stock return performance. On the other hand, the variables of liquidity and operating cash flow do not have a significant impact on the company's stock return.

Financial distress refers to a company’s persistent inability to meet financial obligations, signaling severe monetary strain that precedes formal bankruptcy or liquidation proceedings. This study investigates the impact of intellectual capital (VAICTM), operational capacity (TATO), capital structure (DER), and operating cash flow (OCF) on financial distress (Altman Z-Score), with profitability (ROA) serving as a mediating variable. The theoretical framework of this research is grounded in signaling theory, agency theory, and resource-based view theory. The study focuses on basic materials companies listed on the Indonesia Stock Exchange (IDX) between 2019 and 2023. The study utilized criterion-based sampling to select qualified respondents. Secondary datasets were analyzed through panel regression and path analysis, with Eviews 12 as the computational tool. Key findings include: (1) intellectual capital and operating capacity demonstrate a statistically significant positive influence on profitability; (2) capital structure exerts a significant adverse impact on profitability; (3) operating cash flow exhibits no statistically discernible impact on profitability; (4) both operating cash flow and profitability are positively and significantly associated with increased financial distress; (5) capital structure displays a significant inverse relationship with financial distress severity; (6) intellectual capital and operating capacity show no statistically significant associations with direct financial distress prediction; (7) profitability partially mediates the influence of intellectual capital, operating capacity, and capital structure on financial distress; and (8) profitability does not serve as a mediating variable between operating cash flow and financial distress.

This study aims to analyze the role of cash flow and financial ratios in predicting financial distress in manufacturing companies listed on the Indonesia Stock Exchange for the period 2021–2023. The independent variables include cash flow, profitability, liquidity, leverage, and activity ratios, while financial distress serves as the dependent variable. This research employs logistic regression analysis with purposive sampling, resulting in a sample of 100 companies with a total of 300 observations. The findings reveal that liquidity and activity ratios have a significant negative effect on financial distress, while solvency has a significant positive impact. However, cash flow and profitability do not significantly influence financial distress. These findings highlight the importance of liquidity management and asset efficiency in reducing financial distress risk, while also indicating that high debt burdens increase the likelihood of financial distress. The study’s implications provide valuable insights for management and investors in making strategic financial decisions

Manufacturing companies in the textile and garment sector play an important role in the national economy, contributing to global development every year, creating jobs and encouraging domestic and foreign investment. However, the influence of globalization triggered by the influence of internal and external parties can cause many companies to experience financial difficulties. So researchers are interested in conducting research using secondary data in the form of annual financial reports. This study aims to evaluate financial ratios related to the company's financial distress conditions and identify factors causing financial difficulties in companies in the textile and garment sector listed on the Indonesia Stock Exchange in 2022-2023. This study uses the Springate (S-Score) method and logistic regression analysis with the results of the analysis showing that liquidity has a significant negative effect on financial distress, leverage has a positive insignificant effect on financial distress, and profitability has a significant negative effect on financial distress, and activity has a positive insignificant effect on financial distress.

This research aims to identify the nature of the cash flow statement, methods of preparing it and its indicators. Identify the nature of profitability and explain its indicators, shed light on the topic of predicting the financial distress of economic units, the causes of distress and ways to treat it, and use cash flow and profitability indicators to help predict the financial distress of Iraqi industrial companies listed on the Iraq Stock Exchange in the second and third years preceding the financial distress. The research community is represented by the industrial companies listed on the Iraq Stock Exchange, which number (21) companies until January 2023, while the study sample is the Iraqi Engineering Works Company in order to apply the current research in it. The research reached several conclusions, the most important of which was that the increase in cases of financial distress to which Iraqi industrial companies are exposed is due to the lack of instructions or directives specific to the industrial sector and the failure to use financial indicators through quantitative methods and methods to predict financial distress before it occurs, and to determine what the financial position will be in the future.

The purpose of this research was to identify the influence of profitability, debt to equity and sales growth on financial distress in companies listed on the Indonesia Stock Exchange (BEI). The dependent variable tested is financial distress which is calculated using the Altman Z-score. Companies listed on the Indonesia Stock Exchange (BEI) face a number of economic and financial challenges that require careful risk management strategies. One of the main challenges that can threaten business continuity is the risk of financial difficulties. The research applies a purposive sampling method. The research sample consisted of 70 data or the equivalent of 14 companies listed on the IDX in the mining sector for the 2018-2022 period. The data analysis method used is multiple linear regression analysis with SPSS 20 application tools. The results of statistical test research show that profitability has a significant effect on financial distress because the significance value is <0.05, while debt to equity and sales growth have a positive and no effect. significant for financial distress because the significance value is >0.05. The results of the F statistical test show that profitability, debt to equity and sales growth have a significant and equal effect on financial distress because the significance value shows <0.05.

This study aims to examine whether leverage, profitability and operating capacity affect financial distress in food and beverage sub-sector manufacturing companies listed on the Indonesia Stock Exchange for the period 2019-2023. The data used is secondary data obtained from www.idx.co.id website. Determination of samples in research using porpusive sampling methods with special criteria. The results of the analysis are known to be a significant value of  leverage of 0.000 < 0.05 with a calculation of -4.862 < table 1.992, so the variable leverage has a significant negative effect on financial distress conditions. The significant value on profitability is 0.000 < 0.05 with a count of 9,196 > table 1,992. So the probability variable has a significant positive effect on financial distress conditions. Significant value in Operating Capacity of 0.000 < 0.05 with a calculation of 8.422 > table 1.992, So operating capacity has a significant positive effect on financial distress.

This research aims to investigate the financial status by conducting bankruptcy analyses using the Springate, Grover, and Zmijewski Methods on WIKA from 2018 to 2022, and to investigate the differences in the outcomes produced by these three methodologies. The method used in this study is a quantitative descriptive method. This study involved interpreting processed data through mathematical procedures, utilizing WIKA’s published financial statements from 2018 to 2022. The results show that according to the Springate method, WIKA experienced financial distress during this period. However, based on the Grover method, WIKA did not experience financial distress from 2018 to 2022. Nevertheless, according to the Zmijewski method, WIKA did not experience financial distress from 2018 to 2021 but faced a distressed situation in 2022.

Stock returns are generated by investors from buying and selling activities of the stocks they own. The generated return is determined by the increase or decrease in the stock prices. These prices are formed by the fundamental performance of the company. The purpose of this research is to examine the influence of factors such as financial distress, firm size, liquidity, and price to cash flow from operating activities on stock return. This study was conducted on transportation and logistics companies during the period of 2019-2022. A total of 22 companies were selected as samples for this research, using purposive sampling method and obtaining 88 relevant research data. The relationship between the dependent variable and independent variables was analyzed using multiple linear regression. The hypothesis test showed that the variable of financial distress, analyzed using the Zmijewski method, did not have any significant influence on stock return. Firm size, measured by total assets, was also not found to have a significant impact on stock return. The analysis of liquidity using the current ratio did not find a significant influence on stock return. However, price to cash flow from operating activities showed a significant and positive influence on stock return. This factor can be taken into consideration by investors and potential investors when analyzing the financial fundamentals of transportation and logistics companies before investing, as it has an impact on stock return.

Pentingnya menganalisis financial distress pada perusahaan adalah dapat mempertimbangkan suatu permasalahn pada keuangan yang timbul pada perusahaan yang akan berdampak secara langsung maupun tidak langsung terhadap operasional perusahaan, oleh sebab itu pemimpin perusahaan harus mengantisipasi kondisi tersebut. Tujuan penelitian untuk mengetahui faktor-faktor yang mempengaruhi financial distress (studi kasus pada perusahaan manufaktur sektor industri barang konsumsi yang terdaftar di bursa efek indonesia tahun 2020-2022. Metode penelitian yang digunakan yaitu metode kuantitatif. Hasil penelitian menunjukkan bahwa variabel likuiditas berpengaruh posisitif signifikan terhadap financial distress. Variabel leverage berpengaruh negatif signifikan terhadap financial distress. Variabel profitabilitas berpengaruh positif signifikan terhadap financial distress. Variabel operating capacity berpengaruh positif signifikan terhadap financial distress. Variabel sales growth tidak berpengaruh terhadap financial distress. Variabel ukuran perusahaan tidak bepengaruh terhadap financial distress.

This research aims to determine the influence of company size, profitability, leverage and financial distress on earnings management in insurance companies listed on the Indonesia Stock Exchange (BEI) for the 2019-2022 period. This research method is a quantitative method using secondary data. The population in this study were all insurance companies listed on the Indonesia Stock Exchange (BEI), 18 insurance companies listed on the IDX in 2019-2022, by taking samples using a purposive sampling method to obtain a sample of 11 companies. The data analysis techniques used are descriptive statistics, classical assumption testing, multiple linear regression analysis, and hypothesis testing. The results of this research show that profitability partially influences earnings management, while company size, leverage and financial distress do not influence earnings management.

The aim of this study is to examine the interconnection between financial distress, audit tenure, and profitability concerning the endorsement of the going concern audit opinion, with earnings persistence serving in a moderating role. The method applied in this study is descriptive statistical analysis with a numerical methodology. The findings of the research suggest that the duration of audit tenure and the level of profitability negatively exert an impact on approval of the going concern audit opinion. Conversely, financial distress has been demonstrated to possess a substantial impact on the acceptance of going concern audit opinions. Furthermore, the persistence of earnings intensifies the impact of financial distress and profitability on the approval of the audit opinion regarding the entity's ability to continue its operations, whereas it diminishes the impact of audit tenure on the approval of the going concern audit opinion.