Bankruptcy has been raised as a serious matter regarding investment decision for shareholders and creditors, who might have been greatly impacted when a business fails. Therefore, in order to minimize adverse investment, this study analyze five bankruptcy prediction models: (1) Altman Z-Score model, (2) Springate S-Score model, (3) Ohlson Y-Score model, (4) Zmijewski X-Score model, and (5) Grover G-Score model. The objective of this study is to identify the most suitable bankruptcy prediction model to be employed in evaluating bankruptcy potential of listed manufacturing firms in Indonesia. This study is conducted by analyzing manufacturing companies in Indonesia that are listed on the Indonesia Stock Exchange (IDX). This study adopts quantitative research method with logistic regression as statistical model in analyzing the obtained data. The result of statistical tests show that Grover model is the most suitable bankruptcy prediction model to be employed in detecting bankruptcy potential for manufacturing firms in Indonesia as the results show that Grover model is the only significant independent variable towards company’s status as the dependent variable