Isomorphisms are difficult to detect and analyze, yet researchers have attempted to create a methodology for Isomorphological Analysis. The following research is a case study using the commodities of grain, cotton and lumber. Grain and cotton commodities have traditionally been associated along with their economic modeling tools. Yet, cotton may be isomorphic with respect to its agricultural processing and economic behavior with other commodities such as lumber. The purpose of this research is to identify and test for structural similarities (isomorphisms) in different commodities and determine if those financial tools may have crossover applications. Isomorphisms between lumber and cotton systems are observed and compared using non-parametric statistics. Results suggest that over a six year period, cotton is moving away from acting as seasonally produced commodity due to international market demand for cotton futures. If cotton is not acting as a seasonally produced and stored commodity such as grain, what assumptions and financial tools should be changed and used to reflect its current market reality. This is important to technical management because the proper use of economic modeling and assumptions with similar characteristics can lead to better handling of complex technical systems and improved predictive methods of system performance.