The Textile and Textile Products (TPT) industry is one of the strategic sectors in the Indonesian economy. However, in recant years it has faced considerable pressure due to the COVID-19 pandemic, global economis slowdown, and increasing import competition. These conditions have led to a decline in finanicial performance and an increased risk of bankruptcy among textile companies. Therefore, reliable bankruptcy prediction result among the Altman Z-Score, Springate S-Score dan Zmijewski X-Score models, as well as to determine the most accurate model in predicting bankruptcy of textile industry companies listed on the Indonesia Stock Exchange during the 2020 – 2024 period. The research sample was selected using a purposive sampling method, resulting in 15 textile companies as research samples. Hypothesis testing in this study was conducted using the Kruskal-Wallis test. The Result indicate that there are significant differences among the Altman Z-Score, Springate S-Score dan Zmijewski X-Score models in predicting bankruptcy. Furthermore, the Zmijweski model is found to be the most accurate in predicting bankruptcy in the textile industry, with an accuracy rate of 70,67%. This study is limited to the use of three bankruptcy prediction models.
Copyrights © 2026