The research aimed to explore best practices and innovations in modern financial statement audits, considering the dynamic evolution of audit methodologies and the regulatory landscape. Utilizing a qualitative approach, the study conducted a comprehensive literature review to synthesize diverse perspectives, theories, and findings from scholarly articles, books, reports, and relevant sources. The research questions focused on understanding the current landscape of financial statement audits, identifying key themes, trends, and challenges, and exploring emerging best practices and innovations. Through systematic searching, selection, and analysis of relevant literature, the study extracted common patterns, themes, and discrepancies across the literature. Findings revealed a significant transformation in audit methodologies driven by technological advancements and regulatory pressures, emphasizing the adoption of data-driven, risk-based approaches. The integration of advanced technologies such as data analytics, artificial intelligence (AI), and blockchain revolutionized audit procedures, enhancing audit effectiveness, efficiency, and transparency. Moreover, regulatory compliance and corporate governance emerged as central considerations, highlighting the importance of auditors in promoting transparency, accountability, and trust in financial reporting. The study's insights contribute to advancing knowledge and practice in modern financial statement audits, emphasizing the critical role of auditors in navigating complex regulatory environments and embracing technological innovations to meet evolving stakeholder expectations.