Sorghum known as a Camel crop of cereals, is a versatile and resilient cereal grain that has been cultivated for millennia. Six drought tolerant sorghum genotypes were evaluated with the objectives to identify stable and high yielding ones across six locations in the dry lowland environments of Ethiopia during the 2016 main cropping season. The field experiment was conducted using a randomized complete block design with three replications at each location. Agronomic and striga count data were collected but only grain yield was used for stability analysis. The combined analysis of variance revealed highly significant (P≤0.01) difference among genotypes (G) environments (E) and genotype × environment interaction (GEI). Genotypic mean grain yield ranged from 1730 to 3650 kg ha-1 with average mean grain yield of 2421 kg ha-1, while environment ranged from 1670 to 3422 kg ha-1. GGE bi-plot model was used to identify stable genotype for partitioning the GEI into the causes of variation and the best multivariate model in this study. The first two principal components were used to create a 2- dimensional GGE bi-plot analysis explained 97.83% of the total variation caused by G+GE of PC1 and PC2 accounted for 93.26% and 4.57% sum of squares, respectively, while 2.17% was attributed to noise. Thus, model diagnosis (fitting) showed that the first two PCs were significant and can be taken to interpret this data. The which-won-where bi-plot further identified one winning genotype in one mega environment. The winning genotype across locations was Melkam. Therefore, Melkam can be recommended for wider cultivation due to better grain yield and stability performance across testing locations in dry lowland areas of Ethiopia.