Performance measurement in non-profit organizations (NPOs) presents unique challenges due to the sector’s multidimensional goals, diverse stakeholders’ expectations, and reliance on both financial and non-financial resources. Traditional evaluation approaches often fail to capture critical aspects such as volunteer contributions, donor loyalty, and program alignment. This study develops and validates a data-driven, multidimensional framework for evaluating non ‐profit performance. The model incorporates modified and weighted metrics: Administrative Cost Ratio (ACR), Program Efficiency (PE), Donor Retention (DR), Volunteer Engagement (VE), and Stakeholder Satisfaction (SS), to provide a more realistic assessment of operational effectiveness. Data were collected from 50 NPOs across healthcare, education, environmental advocacy, social work, art and culture, humanitarian aid, and research sectors. The updated measures were fairer in measuring use of resources and sustainability of connections. The metrics were normalized, weighted, and analyzed to ensure comparability and fairness across organizations. The results suggest that NPO performance should be assessed from a multidimensional and evidence-based perspective, integrating financial efficiency, mission alignment, and stakeholder-focused outcomes. The framework provides a flexible, evidence-based solution for evaluating non-profit performance, with practical implications for funders, board members, and policymakers. It also paves the way for higher-tier data-driven performance evaluation solutions in the non-profit sector.