sklearn PCA random_state parameter function

I am using PCA to visualize clusters and noticed Sklearn added "random_state" parameter to the PCA method (http://scikit-learn.org/stable/modules/generated/sklearn.decomposition.PCA.html), my question is what does the random_state parameter do there?

My understanding is that PCA should return the same principle components despite the random state, so, what is the purpose of having it built in?