This paper investigates the stability of quaternion-valued impulsive bidirectional associative memory (BAM) neural networks with time-varying delays and unknown parameters. By constructing novel Lyapunov functions and proposing appropriate assumptions for the differential equations, new stability criteria are derived. Finally, a numerical example is also provided to illustrate the effectiveness of the proposed conditions.