Not really. If by PCA you mean Principal Component Analysis then it would be very useful for you to know some stuff about matrix algebra and properties of covariances matrices.
PCA is more commonly stressed in exploratory factor analysis rather than confirmatory factor analysis. It does help to understand basic matrix notation to use it (although I am skeptical it really helps to understand what most people use stats for).