Orthopaedic implant-associated infections (OIAIs) due toCutibacterium acnescan be difficult to diagnose. The aim of this pilot study was to determine if metagenomic next-generation sequencing (mNGS) can provide additional information to improve the diagnosis ofC. acnesOIAIs. mNGS was performed on sonication fluid (SF) specimens derived from 24 implants. These were divided into three groups, based on culture results: group I, culture-negative (n = 4); group II, culture-positive forC. acnes(n = 10); and group III, culture-positive for other bacteria (n = 10). In group I, sequence reads fromC. acneswere detected in only one SF sample, originating from a suspected case of OIAIs, which was SF and tissue culture-negative. In group II,C. acnessequences were detected in 7/10 samples. In group III,C. acnessequence reads were found in 5/10 samples, in addition to sequence reads that matched the bacterial species identified by culture. These samples could represent polymicrobial infections that were missed by culture. Taken together, mNGS was able to detectC. acnesDNA in more samples compared to culture and could be used to identify cases of suspectedC. acnesOIAIs, in particular regarding possible polymicrobial infections, where the growth ofC. acnesmight be compromised due to a fast-growing bacterial species. However, since SF specimens are usually low-biomass samples, mNGS is prone to DNA contamination, possibly introduced during DNA extraction or sequencing procedures. Thus, it is advisable to set a sequence read count threshold, taking into account project- and NGS-specific criteria.