The purpose of this study is to build a financial distress prediction model for Taiwan electrical and plastic industries. We modify Lau's (1987) financial distress five stages and use the 21 financial indices from the Taiwan Stock Exchange Corporation (TSEC) to detect stages to which they belong. Through Kruskal-Wallis tests and Mann-Whitney tests, we find financial indices differ in different financial stages. Further, we integrate industry factor with financial indices to construct a multinomial logit model of financial administration stages for investors. Empirical analyses reveal that the debt ratio and the return on total assets (ROA) are significant factors in discriminating financial stages. The industry factor has always been a significant factor no matter it is in the stage of financial stability, light crisis or serious crisis. Including the business cycle factor, we find the debt ratio and the return on total assets (ROA) are significant factors in detecting financial stages of electrical industry; and compared to the expansion period, the recession period has heightened risk tendency toward serious crisis.