We mainly study the Max TSP with two objective functions. We propose an algorithm which returns a single Hamiltonian cycle with performance guarantee on both objectives. The algorithm is analyzed in three cases. When both (respectively, at least one) objective function(s) fulfill(s) the triangle inequality, the approximation ratio is $\frac{5}{12}-\varepsilon \approx 0.41$ (respectively, $\frac{3}{8} - \varepsilon$). When the triangle inequality is not assumed on any objective function, the algorithm is $\frac{1+2\sqrt{2}}{14} - \varepsilon \approx 0.27$-approximate.