A method and system to evaluate residual value of leased products, comprising a learning phase and an application phase. Each phase has two steps. The first consists in analyzing lease or product main parameter while the second uses other lease conditions or product characteristics. Analysis is based on a grid wherein several specific points are determined during the learning phase. An extrapolation of these points according to the parameters during the application phase gives a first approximation of residual value, which is adjusted using lease conditions or product characteristics. During the learning phase, the system determines the relevant lease conditions or product characteristics and the associated corrections used during the application phase.