This paper primarily uses Binary Logistic Regression Model to establish financial early-warning models. In its empirical analysis, this is first study that attempts to compare capital structure, when own funds ratio ≤50% or own funds ratio > 50%, could have been accurate financial distressed and non-distressed companies. Finding out significant variables to influence corporate performance, and lower the likelihood of financial distress. Findings, Influence the achievement result of the company have financial structure, operating performance, profitability and corporate governance indicators are the principal ratio variables. Own funds ratio ≤50%, lower operating expense ratio (X16), its can improve profitability an appropriately high debt ratio (X1), long-term funds adequacy ratio (X2) and fixed asset turnover (X10), which in turn means good financial structure. When own funds ratios ≤50% or own funds ratio >50%, establishing insider independent directors and supervisors (X31), increase corporate governance power and the achievement result of the company. The paper is useful to researchers or practitioners who are focused on corporate governance and corporate performance implementation.