Individual companies need to know the financial condition where they are located. They have a wide range of methods and procedures to create a system of financial and economic analysis of the company. The diploma thesis is focused on the evaluation of a specific group of methods forpredicting the financial health of the business entity. Evaluation of the financial situation of the company are divided into point methods, mathemathical and statistical methods and neural networks. The individual methods differ from each other in the difficulty, in the extent of the analyzed areas and the suitability of their use. The aim of the thesis is to assess the possibilities of using selected methods of comprehensive evaluation of companies as a tool for analysis of the position of each company in the branch.The suitability and feasibility of each methodis tested on a selected group of companies. Quick Test, Tamari Model, Beaver Model and Du Pont Analysis of Return on Equityare included in this work. Based on the results, improvements and recommendations for the practical use of methods were suggested.The results showed that the fastest predictive methods are the Quick Test and the Tamari Model, which they are quick and unequivocal when assessing the analyzed companies. Inappropriate prediction methodis the Beaver model, which uses only two financial indicators to evaluate companies.