OBJECTIVE： To establish UPLC fingerprint of Fortunella margarita， and to conduct its cluster analysis and principal component analysis. METHODS： UPLC method was adopted. The determination was performed on Waters Acquity UPLC BEH C18 column with mobile phase consisted of acetonitrile-0.1％ phosphoric acid solution （gradient elution） at the flow rate of 0.3 mL/min. The detection wavelength was set at 330 nm， and sample size was 2 μL. Using fortunellin as reference， UPLC fingerprints of 8 batches of F. margarita were determined. The similarity of 8 batches of samples was evaluated by TCM Chromatographic Fingerprint Similarity Evaluation System（2012 edition） to confirm common peak. Cluster analysis and principal component analysis were performed by using SPSS 24.0 software. RESULTS： There were 24 common peaks in UPLC fingerprints of 8 batches of sample，the similarity of which was higher than 0.97. Cluster analysis showed that 8 batches of samples were clustered into 2 categories. S1， S2， S3， S4， S6， S7 and S8 were clustered into one category； S5 was clustered into the other category. By principal component analysis， the accumulative contribution rate of three main components was 81.366％. CONCLUSIONS： Established UPLC fingerprint， the results of cluster analysis and principal component analysis can provide reference for quality control of F. margarita.