OBJECTIVE： To establish HLPC fingerprint of Callicarpae longsissimae， and to conduct cluster analysis and principal component analysis. METHODS： HPLC method was adopted. The determination was performed on ECOSIL ODS- EXTEND C18 column with mobile phase consisted of acetonitrile-0.2％ phosphoric acid solution （gradient elution） at the flow rate of 1.0 mL/min. The detection wavelength was set at 334 nm， and the column temperature was 30 ℃. The sample size was 20 μL. Using acteoside as reference， HPLC fingerprints of 14 batches of C. longsissimae were determined. The similarity of 14 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 22.0 software. RESULTS： There were 13 common peaks in HPLC chromatograms of 14 batches of sample， the similarity of which was 0.674-0.996， indicating the similarity of 14 batches of sample was great different， but the similarity of some batches was greater than 0.9 （9 batches）. After validation， HPLC fingerprints of 14 batches of sample were in good agreement with control fingerprint. Fourteen batches of samples were clustered into 4 categories； S3，S5，S6 and S11 were clustered into one category； S1，S2，S4，S9 and S10 were clustered into one category；S7，S8，S13 and S14 were clustered into one category；S12 was clustered into one category. By principal component analysis， principal component 1 and principal component 2 were main influential factors of medcicinal material quality；accumulative variance contribution rate of them was 90.32％，and comprehensive score of S13 was the highest. CONCLUSIONS： Established fingerprint， the results of cluster analysis and principal component analysis can provide reference for quality evaluation of C. longsissimae.