OBJECTIVE： To establish HPLC fingerprint of Citrus reticulata， and to conduct cluster analysis and principle component analysis. METHODS： HPLC method was adopted. The determination was performed on XSelect® HSS T3-C18 column with mobile phase consisted of acetonitrile-0.5％ acetic acid solution （gradient elution） at the flow rate of 1.0 mL/min. The detection wavelength was set at 360 nm， and the column temperature was 25 ℃. The sample size was 10 μL. With hesperidin as reference peak， HPLC fingerprints of 10 batches of C. reticulata were determined. The similarity 10 batches of samples was evaluated by TCM Chromatographic Fingerprint Evaluation System （2012 edition） to determine the common peak. Cluster analysis and principal component analysis were performed by using SPSS 17.0 statistical software. RESULTS： There were 11 common peaks in the HPLC fingerprints of 10 batches of medicinal materials， and the similarity was 0.919-1.000， which indicated that in 10 batches of medicinal materials， the chemical composition was consistent， and there were 11 components in 10 batches of samples， but the contents of these components were different. When euclidean distance was equal to 20， 10 batches of sample were divided into two categories； S4 was included in the first category， and others were included in the second category. When euclidean distance was equal to 5， the second category can be divided into two sub-categories； one sub-category was S1， S10； one sub-category was S2， S3， S5， S6， S7， S8， S9. Through the principal component analysis， the cumulative contribution rate of two  main component factors was 92.797％， and comprehensive score of S7 was the highest with the best quality. CONCLUSIONS： Established fingerprints， cluster analysis and principal component analysis results can provide reference for the quality control of C. reticulata.