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The present study elucidates heterogeneity in post-traumatic stress symptoms (PTSS) across adolescence in a sample of youth who have experienced myriad types and combinations of potentially traumatic events (PTEs), including substantiated physical abuse, sexual abuse, neglect and/or at least one other self-reported PTE. A machine learning technique was used to assess a multivariate set of variables (e.g., PTEs, individual risk and protective factors, social risk and protective factors, and racial and ethnic minority status) as predictors of PTSS trajectory group membership. The sample included 498 maltreated (n = 275) and comparison (n = 223) 14-19-year-old female adolescents (M = 15.27, SD = 1.06 at Time 1) assessed annually until age 19. 45.7% of participants were White, 45.3% Black, 0.4% Native American, 0.8% Hispanic, and 7.7% other. Growth mixture modeling identified three distinct …