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This study aims to examine the effect of financial performance on tax avoidance in start-up and established technology sector companies listed on the Indonesia Stock Exchange (IDX) for the 2021–2023 period. Financial performance in this study is proxied by Return on Assets (ROA) and Debt to Equity Ratio (DER), while tax avoidance is proxied by Effective Tax Rate (ETR). This study uses a quantitative method with a comparative approach. The sampling technique used is purposive sampling. Data analysis was carried out using the Mann-Whitney U test and multiple linear regression using the SPSS application. The results of the study indicate that the financial performance of established companies is better than start-up companies, but there is no difference in tax avoidance in established and start-up companies. The results of this study prove that financial performance does not have a significant effect on tax avoidance. This study is expected to contribute to investors, academics, and policy makers in understanding the relationship between financial performance and tax avoidance in start-up and established companies.

This study systematically analyses the predictive ability financial ratios have in relation to the emergence of financial distress among non-cyclical companies on the Indonesia Stock Exchange during the period 2020-2023. Secondary data was collected from a sample of 151 secondary data companies listed on the Indonesia Stock Exchange, spanning the years from 2020 to 2023. In order to ascertain the relationship between the independent variables (X1, X2, X3) and the dependent variable, Multiple Linear Regression models are utilised by employing the Eviews calculation application. As a model, the Springate model is employed, which is used to measure financial distress. The financial ratios selected for analysis encompass the liquidity ratio, the leverage ratio, and the profitability ratio. The findings of this study suggest that the profitability ratio exerts a substantial positive effect, or a moderate effect, on the phenomenon of financial distress. In contrast, the liquidity ratio and leverage ratio demonstrate an absence of statistically significant influence on the phenomenon of financial distress. Extensive analysis of the results indicates that financial distress, as measured by Springate, does not exert a substantial influence on the findings obtained from this study. The incorporation of diverse samples and models in subsequent studies is likely to introduce variations into the research outcomes.

This research aims to analyze the effect of free cash flow on financial distress through return on assets and debt to assets ratio in the pharmaceutical subsector listed on the Indonesia Stock Exchange (BEI) during the period of 2020-2023. The analytical methods employed include descriptive analysis, correlation analysis, classical assumption testing, multiple linear regression analysis, and path analysis. The tool used for analysis is SPSS Version 25. The population consists of 13 companies, and through purposive sampling, a sample of 10 companies was obtained, resulting in a total of 40 firm observations over the 4-year period. The findings indicate that free cash flow has a negative effect on financial distress. Additionally, free cash flow positively influences both return on assets and debt to assets ratio. Return on assets has been proven to mediate the effect of free cash flow on financial distress, while debt to assets ratio does not demonstrate significant mediating capability. The originality of this research builds upon previous studies by introducing return on assets as a moderating variable and also incorporates debt to assets ratio as a moderating variable in the analysis.

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.

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.