Today many formalisms exist for specifying complex Markov chains. In contrast, formalism for specifying the quantitative properties to analyze have remained quite primitive. In this paper a new formalism of temporal rewards that allows complex quantitative properties (including delay type measures) to be expressed in the form of a temporal reward formula. Together, an initial (discrete-time) Markov chain and the temporal reward formula implicitly define an extended Markov chain that allows the determination of the quantitative property by traditional techniques for computing long-run averages. A method to construct the extended chain is given and it is proven that this method leaves long-run averages invariant for atomic (non-temporal) rewards. Keywords Reward Functions, Temporal Logic, Performance Evaluation, Markov Chains.