We propose a multi-state quantile regression model that admits a cure-fraction for each possible transition, so that individuals may not experience that event. A discrete latent variable allows us to take into account unobserved heterogeneity. The model is estimated in a Bayesian framework, without specification of the number of latent classes. We are motivated by an original application to spells of imprisonment in the USA.