The increasing structural complexity of diversified holding companies operating across multiple jurisdictions poses significant challenges to financial consolidation and reporting accuracy. Traditional consolidation practices often suffer from data inconsistencies, inter-company discrepancies, and limited responsiveness to evolving regulatory requirements, leading to financial misstatements and reduced stakeholder confidence. This paper develops a comprehensive multi-entity financial consolidation model designed to address these critical limitations by aligning legal entities and reporting units within a hierarchical architecture that ensures standardization, transparency, and governance control. The proposed model integrates layered reporting structures, harmonized accounting inputs, and automation-enabled governance to manage intra-group eliminations and timing differences systematically. It also incorporates dynamic approval workflows, reconciliation mechanisms, and exception handling protocols to ensure real-time monitoring and audit readiness. Strategically, the model enhances organizational financial coherence, enabling performance benchmarking, enterprise risk oversight, and value-driven decision-making. The model’s relevance extends beyond compliance, positioning it as a strategic enabler for multinational corporations navigating the dual demands of operational complexity and regulatory rigor. It offers a blueprint for improving stakeholder trust, reducing audit risk, and aligning corporate finance with modern expectations of accountability. The paper concludes by outlining future pathways for innovation, including the integration of AI-based anomaly detection and blockchain-enabled transaction transparency.