["Bulletin of Economic Research, EarlyView. ", "\nABSTRACT\nThis article examines the distributional implications of financial inclusion for welfare overall and by gender in Cameroon using 2017 FinScope data. The article employs the endogenous switching regression to evaluate the impact of financial inclusion on welfare at the mean and blends the inverse probability weighting with unconditional quantile regression for percentile‐specific analysis. Results indicate that men have a higher probability of being financially included compared to women. We further observe that financially included individuals are expected to make welfare gains of about 11.6% with the impact higher among women compared to men. The unconditional quantile treatment effect analysis shows positive treatment effects across all percentiles, with men experiencing higher welfare impacts at lower and middle percentiles, whereas the impact is higher for women at the upper tail of the distribution. These results endorse policies fostering innovation in both public and private sectors to expand financial services, particularly for those vulnerable to poverty.\n"]