This study looks at how well of the Grover models, Springate, and Altman Z-Score in
forecasting financial distress at PT Sritex and how useful they are in the Indonesian textile
industry. The approach that was taken was descriptive quantitative, and it made
employment of supplementary data from the IDX website from the perspective of financial
accounts for the years 2019–2023. The Altman Z-Score model's 0% accuracy indicates its
inefficiency, in contrast, the Springate and Grover models both have an accuracy of forty
percent. Despite the fact that the most recent two models provide a more realistic
representation of the company's current financial status, the prediction error rate is still
substantial (type error 60%). This shows that the Altman Z-Score is less reliable, while
Springate and Grover are more accurate, although still limited. Therefore, it is not
recommended to rely on only one model in assessing a company's financial risk. This
research also opens up opportunities for further studies with a wider range of industries to
obtain more comprehensive and accurate results.

Keywords: Financial distress, Grover, Springate, Altman Z-Score