This research measures the impact of the financial strategies in the firm´s performance using a wide range of multivariate statistics techniques. The electric energy, metals, textile and telecommunications are the main industries in the São Paulo Stock Exchange (Bovespa). Those industries are the chief subject of the research and represent 37,8% of all the revenue of the companies in Bovespa. The data used in such research is obtained from the 2004 financial statement of those companies in the studied industries. My literature research was made using a wide range of typologies like Mintzberg (1988), Miles and Snow (1993) and Porter (1980). Porter´s typology (1980) was used for the classification of the strategic cluster of each of the industries, because it could offer a good explanatory power with small number of the variables. The empirical result discovered is that the strategic group low cost leadership has better performance than all other strategic groups. I have also found out a relationship between the position of the firm inside the strategic group and it´s performance. This linear relationship is negative therefore I conclude the strategic financial positioning of the firm results an improvement in it´s performance. In my research, I discuss about how we could use financial data to measure companies´ financial strategies and how we could apply such research in other countries.