Recursive polynomial filters require a much lower number of coefficients with respect to nonrecursive realizations. However, the main problem of recursive polynomial filters is their inherent instability. In this paper sufficient stability conditions for recursive quadratic polynomial filters are reported. Moreover, an application to nonlinear system identification is described.