This study aims to contribute to the existing literature on the impact of various board characteristics on corporate financial performance, particularly the role of women on corporate boards. Using fuzzy set qualitative comparative analysis (FSQCA), the study examines 200 non-financial firms listed at the EGX from 2014 to 2019. The results support complexity theory tenets, indicating that corporate financial performance depends on complex combinations of board and corporate characteristics, rather than singular linear relationships suggested by traditional regression analysis. By featuring 16 unique board and corporate feature combinations, the findings provide governance guidance for corporate managers to achieve high financial outcomes, including combinations with low board gender diversity. This study offers insightful recommendations for policymakers on corporate governance and board gender quotas. It adds to the discussion on how board features affect financial performance, specifically the impact of women on boards. Importantly, the study provides practical implications for governance and policymakers.