  We provide an elementary proof of the dual representation of Expected
Shortfall on the space of integrable random variables over a general
probability space. Unlike the results in the extant literature, our proof only
exploits basic properties of quantile functions and can thus be easily
implemented in any graduate course on risk measures. As a byproduct, we obtain
a new proof of the subadditivity of Expected Shortfall.
