The purpose this research are to provide data, information and deep analysis about finance of go public Bank in Indonesia, include their financial distress and stock price. Quantitative approach is used to analyze the impact of bank performance, financial distress and bankruptcy prediction to bank's stock price. We use ordinary least square regression (OLS) method with all of the OLS method requirement such as normality test, multicollinearity test, autocorrelation test and heteroschedasticity test. We use secondary data from bank financial report and bank stock price from January 2004 until October 2010. We use 32 variables that represent five main variables in the model. The result showed that liquidity have negative impact to stock price, income have positive impact to stock price and more debt will increase bank credibility and attract more investor to buy the stock and will increase bank stock price.