In cattle, the incidence of late embryonic mortality (EM) has been reported to range from 3.2 to 42.7%. In some cases, the economic consequences of late EM are reported to be greater than that of early EM, because late EM can cause a significant delay in conception date. Although considerable effort has been directed toward understanding the causes of early EM, relatively little is known about the causes or mechanisms associated with late EM. The objectives of this experiment were as follows: (1) to determine the association between circulating concentrations of pregnancy associated glycoproteins (PAGs) and late EM in lactating dairy cattle following fixed-timed artificial insemination (TAI) on d 0 or fixed-timed embryo transfer (TET) on d 7, and (2) to identify a circulating concentration of PAGS on d 30 below which late EM would be likely to occur. Cows were diagnosed pregnant on d 30 of gestation based on presence of a fetal heartbeat and reconfirmed on d 60 of gestation. Late EM occurred when a cow had a viable embryo on d 30 of gestation but not on d 60 following TAI or TET. Only pregnant cows were included in the analysis (TAI-maintained, n = 413; TAI-EM n = 77; TET-maintained, n = 238; TET-EM, n = 47) which was subjected to Proc Glimix procedures of SAS. Cows that were pregnant at d 30 of gestation and maintained the pregnancy until d 60 had significantly greater (P < 0.05) circulating concentrations of PAGs at d 30 of gestation compared with cows that experienced late EM between d 30 and 60 of gestation in both TAI and TET. A receiver-operating characteristic curve was generated using MedCal Software to determine circulating concentration of PAGs on d 30 that should predict EM with ≥95 accuracy in both TAI and TET. Based on positive and negative predicative value analysis, a circulating concentration of PAGs below 1.4 ng/mL (TAI) and 1.85 ng/mL (TET) was 95% accurate in predicting EM (between d 30 - d 60) at d 30 of gestation. In summary, PAGs may provide a good marker for predicting EM between d 30 to 60 of gestation and may be able to accurately predict cows that will undergo late EM for the purpose of investigating mechanisms leading to late EM.