Depends on the data values and number of variables (an in this case, that would be different) and asuming same association measure, classification method/beta value).
If you display the association matrix and look at the histograms of both datasets, you will see the ‘raw material’ for the classification. The similarity of the shapes, minimum and maximum values will be the determinants of dendrogram similarity.
What many have done (self included) is to a) standardise the two association matrices 0-1 (say), and then b) subtract them to create a |absolute| difference matrix…then c) classify that!
The last fusion values (an association value) in your case are 1.3165 and 1.3473 suggests (doesn’t prove) that the two association matrices were similarly structured, and does prove that space dilation was operating.