We consider an active run-and-tumble particle (RTP) in dimensions, starting from the origin and evolving over a time interval . We examine three different models for the dynamics of the RTP: the standard RTP model with instantaneous tumblings, a variant with instantaneous runs and a general model in which both the tumblings and the runs are non-instantaneous. For each of these models, we use the Sparre Andersen theorem for discrete-time random walks to compute exactly the probability that the component does not change sign up to time , showing that it does not depend on . As a consequence of this result, we compute exactly other -component properties, namely the distribution of the time of the maximum and the record statistics, showing that they are universal, i.e. they do not depend on . Moreover, we show that these universal results hold also if the speed of the particle after each tumbling is random, drawn from a generic probability distribution. Our findings are confirmed by numerical simulations. Some of these results have been announced in a recent Letter [Phys. Rev. Lett. 124, 090603 (2020)].

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