The paper demonstrates that differential pulse voltammetry with a controlled growth mercury drop electrode, supported by the unsupervised multivariate chemometric methods enables distinguishing of absinthes brands. Signals recorded for the unpretreated samples are repetitive for the same absinthe producer. Unprocessed complex voltammetric signals recorded by different accumulation time were an input data to PCA, HCA and k-means modeling. Homogeneous clusters were formed which reflected the natural order in the set of samples. (C) 2016 Elsevier B.V. All rights reserved.