The author primarily uses accounting data and statistical methods to establish credit risk model in electronic companies, hoping to offer methods to financial institutes before make loans. Using this model to reduce banking risky assets and enhance BIS capital adequacy ratio, which given that the Taiwanese electronic companies debt ratio>50%. Empirical analysis, this paper uses K-S test, M-U test and Pearson analysis to establish logistic regression model. Accounting data were selected from TEJ data base. To sum up, there are 208 companies to be employed. Finding, Electronic companies raise the times interest earned, the fixed asset turnover, the cash flow per share and avoid switch of CPAs, it will enhance the solvency indicators, the operating performance indicators, the cash flow indicators and governance indicators. Raise the cash flow adequacy ratio, the ROS, all can enhance the operating performance indicators and the profitability indicators. Respect CPA give a qualified audit opinion, these can enhance corporate governance ability. Implications, avoid switch of CPAs, respect outsider CPAs give a qualified audit opinion, all can improve the outside monitoring and corporate governance and reduce credit risk, these will take good effect on corporate performance, and reduce banking risky assets and enhance BIS capital adequacy ratio in the financial institutions.