The supercritical fluid (SFE)-CO2 extraction process of Cinnamomum Migao oil was optimized, and its quality evaluation methodol. based on fingerprints and chem. pattern recognition was established. Single factor experiments combined with response surface design were used to obtain the optimum extraction conditions for supercritical CO2 extraction based on its extraction rate. The fingerprints were analyzed by HPLC on a Pntulips® QS-C18 (4.6 mm×250 mm, 5 μm) column with mobile phase consisted of acetonitrile-0.4% acetic acid solution (gradient elution) at a flow rate of 0.8 mL/min. The detection wavelengths were set at 240 nm and the temperature was set at 25°C. Quality evaluation on 10 batches Cinnamomum Migao oil products were conducted via their fingerprint similarity, and as well on results of principal component anal. (PCA) and orthogonal partial least square discriminate anal. (OPLS-DA) on data of fingerprints. The optimal process conditions for Cinnamomum Migao oil were as follows: extraction pressure 15 MPa, extraction temperature 35°C, extraction time 64 mins, and separation pressure 14 MPa. HPLC fingerprint of Cinnamomum Migao oil was established successfully and 15 common characteristic peaks were assigned. Fingerprints have over 0.950 similarities; PCA was further applied to evaluate the quality, and 10 batches of samples were classified into one category, which indicated that the extraction process is stable and controllable. Optimum SFE-CO2 extraction process parameters of Cinnamomum Migao oil were proposed, and the established HPLC fingerprinting can effectively describe the quality characteristics of multiple batches of Cinnamomum Migao oil. This study provides scientific basis for the production and quality evaluation of Cinnamomum Migao oil.