Predicting potential for bankruptcy is the most important information for stakeholders with an interest in the company. The act of predicting bankruptcy, of course, will reduce the risk of such bankruptcy. The Altman Z-Score, Springate and Zmijewski methods can be used as an indicator tool in predicting potential bankruptcy. The purpose of this study is to determine which method has the highest level of accuracy. The population used in this study were BUMN in the agricultural sector. The sample was selected using purposive sampling method. The analytical method used is descriptive quantitative using secondary data and data analysis techniques using parametric statistical tests, namely Paired Sample t-test. The results showed that the Altman Z-Score and the Springate methods obtained the highest accuracy rate of 93.33% and there was no significant difference between the Altman Z-Score and the Springate and Zmijewski methods in predict potential bankruptcy.