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In this paper, by Logit regression technology, we construct a model for recognizing and warning credit risk based on financial and non-financial ratios. The testpsilas results show that the accuracy of the model is up to 86.6%. Obversely, it can offer enterprise some supports for recognizing and warning credit risk in credit sale.