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Profitability acts as a moderating factor, this research seeks to learn how management ownership, leverage, and liquidity impact financial distress in transportation companies listed on the Indonesia Stock Exchange from 2018 to 2022. Quantitative research describes this kind of study. From 2018 through 2022, 37 transportation businesses were included in the study's population. These companies were listed on the Indonesia Stock Exchange (IDX). Eleven different businesses made up the sample. The kind of information used is secondary data. The method utilized to gather data is documentation studies. This study makes use of the Eviews 10 software program. The data analysis methods that are used include descriptive analysis, panel data regression analysis, R2 determination coefficient, significance test (t-test), and moderating test.  According to the study's findings, financial distress is not significantly impacted by leverage, financial distress is negatively and significantly impacted by liquidity, financial distress is not significantly impacted by managerial ownership, and the relationship between the debt-to-equity ratio variable and financial distress cannot be moderated by profitability. However, profitability can moderate and strengthen the impact of liquidity on financial distress, and it can also moderate and strengthen the impact of managerial ownership on financial distress.

This research investigates the key factors influencing companies registered on the Indonesia Stock Exchange (IDX) that is experiencing financial distress between the years 2021 to 2023. In this study, 353 data points were selected from the target population using purposive sampling. Three key financial ratios were utilized as indicators of financial distress: Profitability can be measured by Return on Assets (ROA), while the Current Ratio (CR) is used to measure liquidity. Meanwhile, The Logarithm of Natural to Total Assets (LnTA) is a metric for evaluating a company’s size.  Multiple regression analysis is performed utilizing SmartPLS 4.0 software to analyze the connection between these factors and the probability of experiencing financial distress. The findings indicate a significant negative association between liquidity (CR) and company size (LnTA) with financial distress. In contrast, profitability (ROA) demonstrates an insignificant negative correlation with financial distress. This study contributes to the literature by providing a comprehensive analysis of the factors influencing financial distress in Indonesia consumer cyclical companies employs signaling theory to interpret the relationships discovered.

This research was conducted with the aim of determining the influence of liquidity, leverage, cash flow and institutional ownership on financial distress. This research was conducted on properties and real estate sector companies on the Indonesia Stock Exchange (BEI) with a research period of 2019-2023. The sample in this study used purposive sampling with a sample of 56 companies in the properties and real estate sector that met the sample criteria. The data analysis technique used in this research is multiple linear regression analysis using statistical testing tools, namely SPSS version 22.0. Based on the research results, it can be concluded that liquidity, cash flow and institutional ownership have a positive and significant effect on financial distress. Meanwhile, leverage has no effect on financial distress.

This study examines the phenomenon of delays in the delivery of financial reports (audit report lag) which can cause negative reactions from investors and other users of financial reports. This delay is often seen as a bad signal and can indicate stock price fluctuations. Variables studied in this study include financial distress, profitability, and audit quality and their effects on audit report lag. This study uses objects in the form of manufacturing companies listed on Indonesia Stock Exchange (IDX) in period 2018-2022. The study population includes all manufacturing companies, and the sample was selected using a purposive sampling technique, which resulted in 50 companies as samples with a total of 250 observation data. The method used in this study is quantitative analysis with a statistical approach using multiple linear regression run on the SPSS version 25 program. Tests were conducted to determine the effect of financial distress, profitability, and audit quality on audit report lag. The results showed that financial distress has a positive effect on audit report lag, while profitability and audit quality have a negative effect on audit report lag.

The purpose of this study was to test and analyze the effect of financial distress on going concern audit opinion. This research method uses quantitative research methods, with the type and source of data, namely secondary data. The population and sample of this study are properties & real estate companies listed on the Indonesia Stock Exchange. The sampling technique used was purposive sampling technique and resulted in 110 samples of processed data that met the criteria. The analysis method used is descriptive statistical analysis, logistic regression analysis, and hypothesis testing. The results of this study indicate partially that financial distress has a positive effect on going concern audit opinion.

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.

This qualitative literature review examines the key predictors of SME recovery from severe financial distress, focusing on financial blockages, employee dynamics, and turnaround success. The study synthesizes findings from various sources to highlight how financial challenges such as liquidity shortages and limited access to credit hinder recovery, while government support and alternative financing offer potential solutions. Additionally, employee engagement, organizational culture, and strategic leadership are identified as critical factors in successful turnaround efforts. SMEs that foster innovation, adaptability, and retain key employees are more likely to overcome financial crises. The review emphasizes the importance of a holistic approach, combining financial relief, strategic leadership, and organizational resilience, for long-term SME recovery. The findings suggest avenues for future research on the interaction of these factors and their context-specific impacts.

This research analyzes the factors that influence managerial ownership, investment opportunity set (IOS), and financial distress on company value. Company value is a performance indicator that reflects public trust and the company has high growth potential in the future. This research utilizes secondary data which is analyzed quantitatively obtained from journals, articles and other related sources. The results of the study show that managerial ownership, IOS, and financial difficulties have various relationships on firm value. Managerial ownership can have positive, negative, or no influence depending on the managerial context. IOS has the potential to increase company value through the right investment opportunities, but can also have a negative impact if investments are made without good planning. Financial distress, on the other hand, can reduce company value if poor financial conditions are not handled with the right strategy. This research reveals in depth the importance of managing these factors to increase company value, while also showing the need for further research to identify relevant moderating factors.

Taxes play an important role in the economy as a source of state revenue that is used to fund various development programs. However, the practice of tax avoidance is often a challenge that is detrimental to the potential of state revenue and is the main issue in tax management. Researchers compiled this scientific article with the aim of exploring the link between transfer pricing and financial difficulties in influencing tax avoidance practices. The method used is literature study by analyzing various journals, books and relevant research reports through online platforms such as Google Scholar and Publish or Perish. The data was analyzed using a qualitative descriptive approach to identify patterns and understand the implications of the relationship between the variables studied. The results of the research findings suggest that the relationship between transfer prices and financial hardship to tax avoidance is inconsistent with mixed results. Some analyses showed a significant association, while others found no strong association. These findings indicate that the influence is situational and dependent on the characteristics of the company, thus expanding the understanding of the factors that affect tax avoidance and serving as a basis for further research.

This article aims to review the literature related to the role of financial distress risk in the relationship between leverage and a company's financial performance. Although leverage is often used to support expansion and increase profits, its presence also has the potential to increase the risk of financial distress which can have a negative impact on the company's financial performance. This study uses a literature review approach, which involves the process of identifying, assessing, and interpreting evidence from previous studies to answer existing research questions. Overall, effective financial distress risk management can have a positive impact on the stability of a company's financial performance. However, challenges related to leverage management remain a major concern. Therefore, further research is needed to identify optimal strategies that companies can implement in mitigating financial distress risk and improving financial performance.   Keywords: , ,    

Taxes play an important role in the economy as a source of state revenue that is used to fund various development programs. However, the practice of tax avoidance is often a challenge that is detrimental to the potential of state revenue and is the main issue in tax management. Researchers compiled this scientific article with the aim of exploring the link between transfer pricing and financial difficulties in influencing tax avoidance practices. The method used is literature study by analyzing various journals, books and relevant research reports through online platforms such as Google Scholar and Publish or Perish. The data was analyzed using a qualitative descriptive approach to identify patterns and understand the implications of the relationship between the variables studied. The results of the research findings suggest that the relationship between transfer prices and financial hardship to tax avoidance is inconsistent with mixed results. Some analyses showed a significant association, while others found no strong association. These findings indicate that the influence is situational and dependent on the characteristics of the company, thus expanding the understanding of the factors that affect tax avoidance and serving as a basis for further research.

This research aims to conduct empirical tests regarding the influence of financial distress, profitability, leverage, and liquidity on going concern statement in energy sector companies on the IDX in 2020-2023. This research uses 4 independent variables in the form of financial distress as measured by the Altman z-score, profitability as measured by return on assets, leverage as measured by the debt to asset ratio, and liquidity as measured by the current ratio. The dependent variable is a going concern statement with measurement using a dummy variable. The sampling technique used was a purposive sampling method which was based on certain criteria so that 53 companies were obtained and a total of 212 data. Data testing used logistic regression analysis and IBM SPSS Statistics version 26 software for data processing. The results of this study indicate that the variables of financial distress, profitability, leverage, and liquidity have a simultaneous effect on the going concern statement.

The aim of this research is to examine the impact of capital intensity, managerial ownership, leveragee and financial distress on the level of application of conservatism used in manufacturing companies listed on the BEI from 2020 to 2022. The population of this research is manufactur companies listed on the BEI. The method of this research used  a purposivee sampling method, totaling 66  companies were used as samples. The panel  regression  model  was used  in data  analysis, to  assess  the   feasibility  of the model using the F  test  and coefficient  of  determination. The research results of  the hypothesis show that capital   intensity has a significant positive impact on the application of accounting conservatism. in contrast,  managerial ownership, leverage, and financial distress have no impact on accounting conservatism

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.

Smartfren Telecom Tbk. is one of the telecommunications companies in Indonesia. The company has experienced losses in the last seven periods, from 2017 to 2023. It is feared that this condition will result in a high risk of a company experiencing financial distress or even bankruptcy. This research aims to find out, describe and explain the results of applying the analysis of the financial distress prediction model, namely the Altman Z”-Score model which is used to assess and predict potential bankruptcy with research objects at PT. Smartfren Telecom Tbk for the 2017-2023 period. The method used in this research is a descriptive method using a qualitative approach, and the operational variables used are independent variables, namely a bankruptcy prediction model with the dependent variable being financial ratios. The data used is secondary data in the form of PT's annual financial report. Smartfren Telecom Tbk for the 2017-2023 period. Results of financial distress analysis using the Altman Z”-Score model at PT. Smartfren Telecom Tbk for the 2017-2023 period, shows that the company is in a state of distress because the average Z"-Score value is -2.9 or Z < 1.1. This research shows that analysis of bankruptcy or financial distress using the Altman Z"-Score model at PT. Smartfren Telecom Tbk for the 2017-2023 period concluded that the company was in a state of distress.

Competition in the banking industry is increasingly rapid at this time requiring each bank to have a stable healthy financial condition to avoid difficult financial conditions (financial distress). The purpose of this study was to determine how the influence of the Capital Adequacy Ratio (CAR), Financing to Deposit Ratio (FDR), and Return on Equity (ROE) on the possibility of financial distress in Sharia Rural Banks registered with the Financial Services Authority in 2020-2023. The type of research used is descriptive quantitative research with the data source used is secondary data obtained from the financial statements of each Sharia Rural Bank. The results of this study found that the variables CAR, FDR, and ROE partially and simultaneously had a positive and significant effect on financial distress. The three independent variables together have an influence of 84.8% on the dependent variable, while the remaining 15.2% is influenced by other variables outside this study.

The objective of this study is to investigate and gather empirical data about the impact of leverage, firm size, and cash flow on financial distress in construction companies that are listed on the Indonesian Stock Exchange between 2018 and 2022. Research data is evaluated using logistic regression using SPSS 23 for Windows, using secondary data gathered from the company's annual financial reports and official website. According to the study's findings, three factors significantly influence financial distress: 1) leverage has no effect; 2) firm size has a negative effect; and 3) cash flow has no effect. The results of this research can be used as a basis for taking corrective action if there are indications that the company is experiencing financial distress. Thus, to better manage the firm's financial risks, even though company size is the only major element, management should nevertheless keep an eye on other factors like liquidity and cash flow.

This research aims to examine the effect of financial distress and good corporate governance on earnings management in manufacturing companies listed on the Indonesia Stock Exchange (BEI). This type of research is quantitative research. The sampling method used was a purposive sampling method based on predetermined criteria. The samples used in this research were 60 samples from companies that met the criteria. The data analysis technique used is multiple linear regression analysis and is assisted by the SPSS 22.0 statistical program. The results of this research show that the variables financial distress, institutional ownership, and audit committee have no effect on earnings management. Meanwhile, managerial ownership has a negative effect on earnings management.

This research aims to analyze the influence of financial distress, free cash flow, and earning power on earnings management. The sample for this research is mining companies listed on the Indonesia Stock Exchange (BEI), totaling 17 companies during the 2018-2022 period. Data was taken from the company's financial reports using a purposive sampling method. The type of hypothesis testing used is the T test (partial) with multiple linear regression analysis. The research results show that financial distress has a positive effect on earnings management, free cash flow has a negative effect on earnings management, while earning power has no effect on earnings management.

This research is motivated by the drastic decline in stock prices of technology companies in 2022, which reflects heavy financial pressure and deteriorating financial performance until June 2023. This condition raises the potential risk of financial crisis or financial distress. This study aims to examine the effect of cash flow operating, leverage, liquidity, and profitability on financial risk in technology subsector manufacturing companies listed on the IDX during the 2020-2023 period. A quantitative approach with secondary data of company financial reports that have been audited and published by the IDX is used in this study. The purposive sampling technique was applied to select 19 companies as samples from a total of 49 companies. Data analysis was performed using Partial Least Squares Structural Equation Modeling (PLS-SEM) with Smart PLS software. The results of this study indicate that cash flow operating has no significant effect on financial distress (p> 0.05). In contrast, leverage has a significant positive effect (p < 0.05), while liquidity (current ratio) and profitability (ROA) have a significant negative effect on financial distress (p < 0.05). High leverage increases financial risk, while high liquidity and profitability can reduce the risk of financial distress in technology companies.