The Quickest Transshipment Problem is to route flow as quickly as possible from sources with supplies to sinks with demands in a network with capacities and transit times on the arcs. It is of fundamental importance for numerous applications in areas such as logistics, traffic, evacuation, and finance. More than 25 years ago, Hoppe and Tardos presented the first (strongly) polynomial-time algorithm for this problem. Their approach, as well as subsequently derived algorithms with strongly polynomial running time, is hardly practical as it relies on parametric submodular function minimization via Megiddo's parametric search. We present considerably faster algorithms for the Quickest Transshipment Problem that instead employ a subtle extension of the Discrete Newton Method. This improves the previously best known running time of $\tilde{O}(m^4k^{14})$ to $\tilde O(m^2k^5+m^3k^3+m^3n)$, where $n$ is the number of nodes, $m$ the number of arcs, and $k$ the number of source and sink nodes. Furthermore, we show how to compute integral quickest transshipments in $\tilde O(m^2k^6+m^3k^4+m^3n)$ time. This is joint work with Miriam Schlöter and Khai Van Tran.