This paper presents a joint transmitter and receiver design for movable antenna (MA)-enhanced multicast communications. The goal is to maximize the minimum weighted signal-to-interference-plus-noise ratio (SINR) among all users by jointly optimizing the positions of transmit and receive MAs and the transmit beamforming. The proposed algorithm uses alternating optimization and successive convex approximation techniques, with a concave lower bound for the signal-to-noise ratio (SNR) constructed via second-order Taylor expansion, simplifying the problem-solving process compared to existing two-step approximation methods. The algorithm is extended to multi-group scenarios and shows improved performance over benchmarks using only receive or transmit MAs. Simulation results demonstrate faster convergence and significant improvements in max-min SNR/SINR, with up to 343.9% improvement compared to benchmarks. The algorithm also shows that receive MAs can provide better performance in achieving max-min SNR/SINR than transmit MAs, even with fewer MAs. The proposed method is efficient and effective for MA-enhanced multicast communications.This paper presents a joint transmitter and receiver design for movable antenna (MA)-enhanced multicast communications. The goal is to maximize the minimum weighted signal-to-interference-plus-noise ratio (SINR) among all users by jointly optimizing the positions of transmit and receive MAs and the transmit beamforming. The proposed algorithm uses alternating optimization and successive convex approximation techniques, with a concave lower bound for the signal-to-noise ratio (SNR) constructed via second-order Taylor expansion, simplifying the problem-solving process compared to existing two-step approximation methods. The algorithm is extended to multi-group scenarios and shows improved performance over benchmarks using only receive or transmit MAs. Simulation results demonstrate faster convergence and significant improvements in max-min SNR/SINR, with up to 343.9% improvement compared to benchmarks. The algorithm also shows that receive MAs can provide better performance in achieving max-min SNR/SINR than transmit MAs, even with fewer MAs. The proposed method is efficient and effective for MA-enhanced multicast communications.