The Maximum Consecutive Subsums Problem (MCSP) arises in scenarios of both theoretical and practical interest, for example, approximate pattern matching, protein identification and analysis of statistical data to cite a few. Given a sequence of n non-negative real numbers, The MCSP asks for the computation of the maximum consecutive sums of lengths 1 through n. Since trivial implementations allow to compute the maximum for a fixed length value, it follows that there exists a naive quadratic procedure to solve the MCSP. Notwithstanding the effort devoted to the problem, no algorithm is known which is significantly better than the naive solution. Therefore, a natural question is whether there exists a superlinear lower bound for the MCSP. In this work we report our research in the direction of proving such a ower bound.