D. Deresa , W. Mohammed, A. Sualeh Coffee, cluster analysis, diversity, PCA, quality 63-72 8(3) 2024 July 2024 Coffee is the most valued commodity among the stimulant crops. Hararghe coffee fetches premium prices in world market for its best quality. This research was conducted with the objectives of assessing the genetic diversity of Hararghe coffee collections for bean quality traits. In line with objectives, Sixty-one coffee collections along with three standards evaluated at Jimma Agricultural Research Center. The analysis of variance revealed a significant difference among the collections for the most of quality traits studied. Cluster analysis based on bean quality traits grouped the collection into five clusters. The Euclidean genetic distance between clusters ranged from 13.52 to 60.28 among evaluated Hararghe coffee collections for bean quality traits. The Principal component analysis for bean quality traits showed five principal components exhibited greater than one Eigenvalue accounted 85.1% of the total variation. High inter cluster distance indicated that there is a high chance for obtaining transgressed segregates and maximizing heterosis by crossing genotypes belonging to different clusters as there is a higher chance that distinct genotypes would contribute by unique desired traits. Generally, the result of the study indicates existence of significant genetic diversity among Hararghe coffee collection for bean quality traits.