Abstract In this study we use the Analytic Hierarchy Process (AHP) and the Logistic regression to construct financial distress prediction models for listed companies of electronic industry in Taiwan. The Kolmogorov-Smirnov and the Area under the Curve are used to investigate the default prediction performance of the two financial distress prediction models. The KS value of the AHP model we get is 0.56 and the AUC is 0.64 while the KS value of the Logistic regression model is 0.68 and the AUC value is 0.816. As a whole, both AHP and Logistic regression models are able to discriminate the distressful companies from the normal ones, and the Logistic regression model exhibits better performance than the AHP model.