The current study identified the longitudinal quality of life (QOL) trajectories of individuals with disabilities as well as the predictors of those trajectories. It examined a secondary data set, the Panel Survey of Employment for the Disabled (PSED), conducted by the Korea Employment Agency for the Disabled (KEAD). Data were gathered over 5 years from individuals with disabilities and analyzed using growth mixture modeling to identify the best QOL trajectory model. Covariates, physical dependence, experience of discrimination, emotional stability, self-esteem, religion, and degenerative type of disability were explored as trajectory predictors. Analysis revealed four latent classes: a high and stable QOL class, a high and varied QOL class, a low and stable QOL class, and a low and varied QOL class. Analysis of predictors indicated degenerative type of disability, physical dependence, discrimination, emotional stability, and self-esteem differentiated the high and stable QOL group from other groups. Significance, limitations, and implications for future practice and research are also discussed.