Prenatal exposure to perfluoroalkyl and polyfluoroalkyl substances (PFASs) has been associated with gestational diabetes mellitus, obesity or overweight in childhood, but data on fetal overgrowth outcomes including macrosomia and large for gestational age (LGA) and among gestational age diverse infants remain scarce. To evaluate the association between maternal PFASs exposure and macrosomia and LGA, with exploration of the interaction between PFASs exposure and gestational age on fetal overgrowth. Methods: A total of 1441 mother–infants pairs from Guangxi Zhuang Birth Cohort of China were analyzed. Nine PFASs were measured in maternal serum using ultra-high liquid performance chromatographytandem mass spectrometry. Multivaraible logistical regression and generalized additive models were performed for individual PFAS exposures, piecewise regression analysis was used to estimate the breakpoint values for the non-linear dose-response relationships. Bayesian Kernel Machine Regression was performed for PFASs mixture. In single pollutant models, maternal PFDA and PFOA exposure showed U-shaped relationship with macrosomia and LGA. When PFDA concentration exceeded 0.32 ng/mL was significantly positively associated with risks of LGA and macrosomia (OR=4.66, 95%CI: 1.26, 17.17; OR=14.43, 95%CI: 2.64, 79.02; respectively), while a negatively association was observed when level below 0.32 ng/mL. When PFOA concentration exceeded 1.20 ng/mL was significantly associated with increased risk of macrosomia (OR=7.75, 95%CI: 1.36, 44.06). In mixed exposure models, mixture of PFASs was positively associated with macrosomia, as well as associated with LGA when all the PFASs were at their 30th percentile or below. The maximum risk of LGA was reached when concentrations of PFUnA, PFDA, or PFBS were at the highest concentrations and the gestational age at the minimum of this study. Maternal exposure to PFDA, PFOA and PFASs mixture were non-monotonically associated with macrosomia and LGA, the direction of the associations depends on the level of exposure.