ABSTRACT: Per- and poly-fluoroalkyl substances (PFAS) are persistent environmental contaminants prevalent in industrial manufacturing processes and various consumer products. Human health consequences include reduced fertility, liver damage, thyroid disease, kidney disease, cancer, inflammation, hypertension, and obesity. In this study, various approaches were used to determine toxicological points of departure (PODs) for 9 PFAS (PFDS, PFDS, PFOA, PFOS, PFBA, PFBS, PFHxA, PFHxS, PFNA) in Zebrafish embryos exposed for 5 days from 4 to 120 hours post-fertilization. Apical PODs (aPODs) were assessed for developmental toxicity (based on mortality and malformation), behaviour (based in distance swum under light and dark conditions) and metabolism (based on NADH-dependent changes in alamarBlue fluorescence). Transcriptional PODs (tPODs) were determined using TempO-Seq S1500+ Zebrafish Surrogate Assay Panel applied to pools of 10 embryos. Count data were generated using the Omics data analysis framework for regulatory application (R-ODAF) pipeline, available at https://github.com/R-ODAF/R-ODAF_Health_Canada. Transcriptomic BMC modeling was performed using BMDExpress. PFAS toxicity was highest for PFAS with longer carbon chain length, and with a functional group of sulfonic acid compared with carboxylic acid. This toxicity ranking was similar across all aPODs and tPODs. This study demonstrates that for PFAS chemicals, transcriptional PODs can be used to reliably predict other aPOD estimates generated through assessments of metabolism, behaviour, or mortality/malformation.