Abstract: OBJECTIVE To establish HPLC fingerprint of Xiaoer Ganmaoshu granules and carry out chemical pattern recognition. METHODS The Waters C₁₈ reverse column(250 mm×4.6 mm, 5 μm) was used, the mobile phase was acetonitrile(A)-0.1% phosphoric acid aqueous solution(B), the gradient elution was performed, the volume flow rate was 1.0 mL·min^-1, the column temperature was 40℃, and the detection wavelength was 250 nm. Through the similarity evaluation of fingerprint, combined with chemical pattern recognition technology, 13 batches of samples were analyzed. RESULTS There were 20 common peaks in the fingerprint of 13 batches of samples, and 10 of them were identified. They were peak 2(chlorogenic acid), peak 3(3'-hydroxypuerarin), peak 4(puerarin), peak 6(3'-methoxypuerarin), peak 7(puerarin apigenin), peak 8(daidzin), peak 12(glycyrrhizin), peak 18(daidzein), peak 19(arctiin), peak 20(habaroside). The fingerprint similarity of 13 batches of samples was more than 0.995. Cluster analysis and principal component analysis can cluster 13 batches of samples into two groups, and combined with orthogonal partial least square-discriminant analysis, it inferred that 7 components were important components that cause differences among batches of samples. CONCLUSION The established HPLC analysis method of Xiaoer Ganmaoshu granules was simple and stable, and the fingerprint combined with chemical pattern recognition can provide reference for the establishment of the quality control standard of Xiaoer Ganmaoshu granules.