This study aims to examine financial risk, namely credit risk, liquidity risk, and operational risk on the financial performance of coal mining sub-sector companies on the Indonesia Stock Exchange in 2016-2020. The sampling technique used purposive sampling to get a total of 54 observations. This type of research is an associative quantitative study with panel data regression analysis techniques. Based on the results of the analysis, it is found that Credit Risk, Liquidity Risk, and Operational Risk have a negative effect on Financial Performance . The lower the risk that occurs will affect the increasing value of the company. The implication of this research is that the company is expected to manage and control the risks in the companys financial activities (credit risk, liquidity risk and operational risk) optimally so that problems do not occur in order to increase the level of profitability.