Abstract: OBJECTIVE To evaluate the quality of Cuminum Cyminum L. from different producing areas by using GC-MS fingerprints combining with multivariate statistical methods. METHODS GC-Q-TOF/MS was used to qualitatively and quantitatively analyze the Cuminum Cyminum L. volatile oil, and the fingerprints of 20 batches of Cuminum Cyminum L. from different origins were established. The "Chinese medicine chromatographic fingerprint similarity evaluation system software(2012 edition)" was used to evaluate the similarity, and perform cluster analysis and principal component analysis were carried out. RESULTS The established fingerprint spectrum identified 33 common peaks. The similarities were all above 0.961, and the main components were cumaldehyde, γ-terpinen-7-al, α-terpinen-7-al, γ-terpinene, o-cymene, sabinene, cumic alcohol, 3-p-menth-7-al, etc. The relative content accounts for about 99.7% of the total content. Through cluster analysis, 20 batches of Cuminum Cyminum L. could be divided into 5 categories, and the cumulative variance contribution rate of 4 principal components obtained by principal component analysis was 88.946%. The results of principal component analysis showed that the comprehensive score of sample S20 was high, and the results of principal component analysis and cluster analysis were basically consistent. CONCLUSION The method has strong characteristics, good precision, repeatability and stability, and can be used for quality control and evaluation of Cuminum Cyminum L. volatile oil and related products.