In this method's approach, we first define transaction sums for all related entities and normalize sums with the total transactions sum. In such way this method defines a comparison baseline. Then, it takes transactions between entities and sums them into a predefined number of periods. For each period partial sums weights are compared to the baseline weights and anomalies are identified. The more anomalous a company behaves the higher it ranks on the anomalous list. The purpose of the method is to identify the biggest changes within the series of accumulated periods.