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Abstract : This study aims to analyze the prediction of financial distress at PT Kharisma Dua Putri (KDP) for the 2020–2024 period using multiple bankruptcy prediction models, namely Altman Z-Score, Springate, Grover, Zmijewski, Taffler. The purpose of this research is to evaluate the company’s financial condition by comparing the predictive consistency among the models and identifying indicators of potential distress. A quantitative descriptive approach is employed using secondary data obtained from audited financial statements covering 2020 to 2024. The results of each model are compared to assess the firm’s financial health and risk of insolvency. The findings reveal variations in prediction outcomes, with several models indicating early signs of financial vulnerability, particularly during periods of declining profitability and liquidity. Overall, PT KDP experienced fluctuating financial performance that approached distress thresholds in certain years. The study highlights the importance of a multi-model analytical approach to enhance the accuracy of financial distress assessment and to provide early warning signals for managerial decision-making.
Afriza et al. (Wed,) studied this question.