<![CDATA[This study analyzes the financial distress conditions of Islamic Commercial Banks (Bank Umum Syariah/BUS) in Indonesia during 2020–2024 using the Altman Z-Score, Grover, and Fulmer models. Employing a quantitative descriptive-comparative approach, the research uses secondary data from annual financial reports of banks selected through purposive sampling with criteria of operating for at least five years, having complete financial statements for 2020–2024, and recording positive EBIT. The analysis applies the three models to assess financial health, with the confusion matrix used to measure accuracy, precision, recall, specificity, and negative predictive value (NPV). Results show that all Islamic banks are generally in a healthy condition, indicated by a Capital Adequacy Ratio (CAR) ≥ 8%. The modified Altman Z-Score achieved 87.27% accuracy and functioned effectively as an early warning system, while Grover and Fulmer models showed perfect accuracy of 100%, classifying all banks as non-distressed. Among the three, the Grover model is the most suitable for Islamic banking due to its simplicity and consistency with empirical data. This study contributes by integrating confusion matrix validation, enhancing the reliability of financial distress prediction in Islamic banking institutions.]]>
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