To establish the fingerprint profile of Ficus nervosa using high performance thin layer chromatography (HPTLC) technique. Preliminary phytochemical screening was done and HPTLC studies were carried out. CAMAG HPTLC system equipped with Linomat V applicator, TLC scanner 3, Reprostar 3 and WIN CATS-4 software were used. The results of preliminary phytochemical studies confirmed the presence of alkaloid, carbohydrate , glycoside , steroid, protein, tannin, terpenoid, flavonoid and phenol. HPTLC finger printing of chloroform extract of leaf revealed 11 peaks with Rf values in the range of 0.07 to 1; ethyl acetate extract of leaf showed 11 peaks with Rf values in the range of 0.07 to 0.99 and 90% ethanolic extract of leaf revealed 13 peaks with Rf values in the range of 0.03 to 1. It can be concluded that HPTLC fingerprint analysis of leaf of Ficus nervosa can be used as a diagnostic tool for the correct identification of the plant and it is useful as a phytochemical marker and also a good estimator of genetic variability in plant populations.