  We present an algorithm which efficiently estimates the intrinsic long-term
value of a portfolio of assets on a quantum computer. The method relies on
quantum amplitude estimation to estimate the mean of a novel implementation of
the Gordon-Shapiro formula. The choice of loading and readout algorithms makes
it possible to price a five-asset portfolio on present day quantum computers, a
feat which has not been realised using quantum computing to date. We compare
results from two available trapped ion quantum computers. Our results are
consistent with classical benchmarks, but result in smaller statistical errors
for the same computational cost.
