This paper presents Pitman closest equivariant estimators of the location of elliptically symmetric distributions. In the scalar parameter case the best estimator is the same for all loss functions that satisfy certain mild monotonicity conditions, which makes the estimator very useful when the exact loss function is difficult to ascertain. In the multiparameter case the Pitman closest estimator coincides with the minimum risk estimator.