In an era escalating geopolitical instability, cyber threats, and fragile supply chains, the capacity of global enterprises to manage crises has become a critical determinant of organizational resilience. This study evaluates the effectiveness of multidimensional crisis management strategies across five major industries, finance, healthcare, manufacturing, retail, and technology, using a five-year panel dataset of 570 publicly listed firms. The research applies an integrated methodological framework combining hierarchical Poisson models for crisis frequency, DCC-GARCH for financial loss, liquidity dynamics, survival analysis for operational downtime, structural equation modelling (SEM) for latent resilience, and Monte Carlo simulation for systemic stress exposure. Results reveal that firms with higher preparedness, measured through governance robustness, monitoring capacity, and cyber maturity, experience fewer crises, faster recovery, and lower financial losses. Sectoral variations indicate that technology and finance benefit more from digital infrastructure, whereas manufacturing and retail face prolonged disruptions due to structural dependencies. Simulation results confirm that top-quartile preparedness reduces extreme loss exposure by over 30%, demonstrating the financial return on resilience investments. The study emphasizes shifting crisis management from reactive to proactive, underscoring its significance for governance systems, regulatory processes, and intersectoral risk-sharing mechanisms. By interpreting organizational responses under risk, it offers an empirically grounded roadmap for building measurable resilience ensuring faster recovery in future crises.