Daptomycin, a cyclic lipopeptide antibiotic that targets the cell membrane, is an important therapeutic option for treating multi-drug-resistant infections, including vancomycin-resistant enterococci (VRE). Recent work has uncovered an array of daptomycin resistance mechanisms in enterococci, but relatively little is known about how these molecular defenses contribute to collateral effects–that is, to increased resistance or sensitivity to other drugs. In this work, we investigate collateral effects that arise during daptomycin adaptation ofE. faecalisin four independent laboratory-evolved populations. Using a combination of growth assays and both single isolate and population sequencing, we identified DAP-resistant lineages with mutations in one or more genes previously associated with DAP resistance, and these isolates are characterized by divergent phenotypic properties–including different levels of DAP resistance and different growth rates (i.e. fitness costs) in drug-free media. Interestingly, we also observed strongly divergent collateral responses to different antibiotics, particularly CRO, with collateral resistance arising in mutants harboring DAP-resistance mutations in cardiolipin synthetase (cls) or in genes linked to the two-component signaling system YxdJK (bceRor a regulated transporterycvR). By contrast, mutations inliaX, a component of a LiaFSR two-component signaling system, arose in two of the four populations, with point mutations associated with CRO-sensitivity and a large structural integration of plasmid pTEF3 associated with extreme CRO-sensitivity and a dramatically reduced growth rate. Our results reveal considerable phenotypic differences in mutations targeting the LiaSFR system and highlight trade-offs between resistance to daptomycin, collateral profiles (most notably to CRO), and drug-free growth rates in evolving lineages. As a whole, these results underscore how rich–and remarkably diverse–evolutionary dynamics can emerge even in parallel populations adapting to simple daptomycin escalation protocols.