This study measures the average contribution of color, staple, strength, micronaire, and cleanliness to the price of cotton using the Daily Price Estimation System (DPES) data, maintained and operated by the department of Agricultural and Applied Economics, Texas Tech University for cotton produced and sold in Texas-Oklahoma region between 1993 and 1998. The study found on the average, color had the highest contribution in the price of cotton, i.e., 30% of the price of cotton was due to the effect of color. Micronaire and cleanliness contributed 22 and 23%, respectively, to the price of cotton, and the contribution of staple was about 20%. The average contribution of strength was the lowest among all quality attributes at about 5%.