Yes, it does stores the (affine) motion information (that was detected and corrected by the motion correction step) in the  xml-report. Per DWI you will find there the full transformation matrix (in case you want to use that), plus 2 summary features for the overall translation and the overall rotation. The entries are labeled as TranslationNorm and Angle.
here is the info, how these are computed
Angle = combined angle, this is the single total rotation around the best fitting rotation axis (so not one of the coordinate axes x, y, z) needed to represent the motion. This is actually not extracted from the affine transform, but simpler by looking at the angle between the gradient direction before the motion correction and after (which is very simple to extract).

Translation = norm/length of the translation vector = sqrt(tx*tx + ty*ty + tz*tz), the translation vector is easily extracted from the Affine transform

The affine transform is to the average baseline (by default computed via iterative unbiased averaging), see also:
Kreilkamp BAK, Zacà D, Papinutto N, Jovicich J. Retrospective head motion correction approaches for diffusion tensor imaging: Effects of preprocessing choices on biases and reproducibility of scalar diffusion metrics. J Magn Reson Imaging. 2015 Jun 7.


Martin