<![CDATA[This study aims to analyze the potential for financial distress in nickel companies listed on the Indonesia Stock Exchange (IDX) during the 2020–2024 period using three bankruptcy prediction models: Altman Z-Score, Springate, and Zmijewski. The primary focus is to identify nickel companies experiencing potential bankruptcy, compare the prediction outcomes among the three models, and determine which model demonstrates the highest level of accuracy in predicting financial distress. This research employs a quantitative approach with a comparative method, in which the sample consists of nine nickel companies selected through purposive sampling based on specific criteria. The analytical techniques used include the Wilcoxon Signed Rank Test to examine differences in prediction results between the models (Altman–Springate, Altman–Zmijewski, and Springate–Zmijewski) and an Accuracy Test to evaluate which model provides the most reliable predictions. The findings reveal significant differences among the models, indicating that Altman, Springate, and Zmijewski produce predictions that are not entirely consistent across companies, thereby reflecting the inherent strengths and limitations of each approach. Furthermore, the accuracy test results indicate that the Zmijewski model achieves the highest level of accuracy in predicting financial distress among nickel companies during the observation period, followed by the Altman model, while the Springate model demonstrates the lowest accuracy. These results highlight the importance of selecting the most appropriate predictive model when assessing corporate financial health, particularly within the nickel industry, which is characterized by high market volatility and business risks, thus providing valuable insights for companies, investors, and stakeholders in making strategic decisions to mitigate bankruptcy risk and ensure business sustainability.]]>
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