Abstract: Horizontal and vertical analysis are among the numerous financial statements fraud (FSF) detection methods which have been severely criticized for their apparent imprecision. This paper intends to reverse this through a new technique which combines the two to produce a joint relational trend analysis (RTA). The study adopted the desk research method using a rehashed five-year financial statement data and employed tables and simple MS Excel commands to perform periodic relational analysis by comparing the probabilities of the occurrence of a percentage of an item in a group for the current period with similar probabilities of the same item and group for the base period.