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Langton’s ant is a simple two-dimensional cellular automaton whose long-term behavior exhibits remarkable complexity. While it is known that the ant eventually escapes any finite connected region of the grid, the quantitative aspects of this escape remain poorly understood. In this paper, we study the escaping time of Langton’s ant, defined as the maximum number of steps the ant can perform within a finite connected domain before leaving it. We establish general upper bounds on the escaping time as a function of the domain size, and derive improved bounds for rectangular domains. In particular, we obtain a factorial upper bound for square domains via an inductive decomposition argument. We also obtain linear upper bounds for rectangular domains of height two and three via a column-by-column analysis. More generally, for rectangular domains with a fixed height, we establish a polynomial upper bound in the number of columns. These results are complemented by exact values computed through an optimized simulation algorithm that exploits the geometric symmetries of the grid and employs a backtracking branching strategy to avoid exhaustive search over all color configurations. We also provide lower-bound constructions, proving that the linear upper bounds for rectangular domains of heights two and three are asymptotically optimal.