PCA: projection of positive data on negative side of plane
Yes, it is, there is no reason why a component cannot have negative values.

Let's take this matrix:

[[1, 1],[0.5, 1]]


The eigenvectors have negative values:

[[ 0.81649658, -0.81649658],
    [ 0.57735027,  0.57735027]]