The Eigenvalue That Got Smudged

A team runs PCA on a dataset with six numeric features. Before running it, they record the variance of each individual feature — these are the six numbers sitting on the diagonal of the covariance matrix:

PCA then produces the six eigenvalues of that same covariance matrix, sorted from largest to smallest. Unfortunately the printout got smudged and PC3's eigenvalue is unreadable:

The team decides to keep only the first three components and throw the rest away.

What percentage of the dataset's total variance do those three components retain?

Give your answer as a percentage between $0$ and $100$, rounded to two decimal places.