Multi-environment trial (MET) plays a vital role in selecting genotypes for wider adoptability based on their superior performance across environments. The present study was carried out with an aim to select high yielding and stable genotype(s). A set of thirty mungbean genotypes were evaluated in four environments comprising years (2007, 2008) and locations (Peshawar, Swat) of Pakistan. Combined analysis of variance was performed for seed yield to determine the effect of environment (consisting of year, location, and L×Y interaction), genotypes and all possible interactions among these factors. Analysis of variance showed significant G×Y and G×L interactions (P≤0.01) exhibiting the influence of changes in environment (L and Y) on seed yield performance. The large yield variation due to E, justified the selection of a GGE biplot as an appropriate method for analyzing MET data. GGE biplot arranged 30 genotypes in such a manner that they fell in four sectors based on their performance. Genotype ‘k’ (NFM-11-3) performed well at PR07 and PR08 denoted as first sector. In the second sector mungbean genotype ‘y’ (NFM-7-13) outclassed all other genotypes at ST07 and ST08. GGE biplot figured out the genotypes ‘t’ (NFM-14-5) and ‘e’ (NFM-5-63-20) as the poor performing lines across location. GGE biplot identified ‘y’ (NFM-7-13) as highest yielding genotype, followed by ‘k’ (NFM-11-3). Solely on yield performance, both of the genotypes were not statistically different however; the ranking made by GGE biplot was not only based on yield but on stability performance too. Similarly, Genotypes ‘ad’ (NM-98) ‘m’ (NFM-12-6) ‘f’ (NFM-5-63-34) and ‘z’ (NFM-8-1) ranked 3rd, 4th, 5th and 6th as being stable and high yielding across location, respectively. Location ‘PR08’ was the most desirable environment as it laid closer to the “ideal” environment. While PR07, ST07 and ST08 were found undesirable regarding genotypes differentiation as they were far away from the center of the concentric circle. The GGE biplot effectively identified the G×E interaction pattern of the data and explained which genotype performed extravagantly at which target environment.