SUMMARY
This study aims to reveal and detect potential financial distress in the mining industry in Southeast Asia. Detection of potential financial distress is carried out on financial ratios, including profitability , liquidity , leverage and operating capacity. Financial distress proxied by using Altman Model Modification or popularly known as the Z-Score. The population in this study are mining companies listed on the Stock Exchange in Southeast Asia. Methods purposive sampling used to obtain the sample size of the population used and obtained as many as 140 samples were comprised of 84 companies over three years (2017-2019). Data Analysis used in this study is panel data regression analysis using software Eviews 9. The results showed that the profitability of a positive influence on financial distress and operating capacity negatively affect the potential financial distress . But two other variables namely liquidity and leverage that could be expected to affect the financial distress but not proven effect on the financial distress.