The article considers that while calculating a break-even point on the prospects, the influence of various factors ataches the character of a random variable to this parameter and makes it necesary to use statistical methods of analysis. Two statistical methods of defining a break-even point are ofered and they difer from each other by structure and the quality of the initial data. The considered above methods of defining a breakeven point make it posible to expand a sphere of application of a break-even analysis in practice.