Abstract: Chemical methods were used to determine the content of resin, wax and pigment in the sticklac.Fourier transform near infrared spectroscopy (FT-NIR) was used to collect the near infrared spectra of sticklac, and the original spectra were obtained.Spectral pretreatment was employed to eliminate the noise, and partial least squares(PLS) was performed to establish the regression model.Finally, the analysis model of near infrared spectrum of resin, wax and pigment content in sticklac was established.The correction determination coefficients(R_c²) of resin, wax and pigment were 0.961, 0.812, 0.828, respectively. The root mean square errors of cross validation(RMSECV) were 1.96, 0.28, 0.065, respectively. The determination coefficients(R_p²) of validation sets were 0.957, 0.808, 0.793, respectively. And the root mean square errors of prediction(RMSEP) were 0.94, 0.124, 0.101, respectively.The results showed that the accuracy, stability and prediction performance of the model were good, which provided a new idea for the establishment of rapid analysis method for the primary components of sticklac.