In addition to unitless data, PCA works when all of your variables have the same dimension. It simply doesn't make sense to build a principle component vector t

In addition to unitless data, PCA works when all of your variables have the same dimension. It simply doesn't make sense to build a principle component vector that is a mixture of (i.e. weighted sum of) vectors with non-identical units.