Genetic diversity estimation among different species is an important tool for genetic improvement to maximize the yield, desirable quality, wider adaptation, pest and insect resistance that ultimately boosting traditional plant breeding methods. The most efficient way of diversity estimation is application of molecular markers. In this study, twenty random amplified polymorphic DNA (RAPD) primers were utilized to estimate the genetic diversity between ten sunflower genotypes. Overall 227 bands were amplified by 20 primers with an average of 11.35 bands per primer. RAPD data showed 86.34% polymorophic bands and 13.65% of monomorophic bands. Genetic similarity was ranged from 50.22% to 87.22%. The lowest similarity (50.22%) was observed between FH-352 and FH-359 and the maximum similarity 87.22% was observed between A-23 and G-46. Polymorphic information content (PIC) values were varying from 0.05 to 0.12 with a mean of 0.09. Cluster analysis based on RAPD results displayed two major distinct groups 1 and 2. Group-2 contains FH-352 which was the most diverse genotype, while group-1 consists of few sub groups with all other genotypes. Ample diversity was found in all the genotypes. Present study reveals novel information about sunflower genome which can be used in future studies for sunflower improvement.