Quantifying variation in body condition is central to understanding the energetic demands, population health, and ecological resilience of marine mammals. Recent advances in unmanned aerial vehicle (UAV) photogrammetry offer new opportunities to model morphometric traits in free-ranging cetaceans at spatial and temporal scales previously unattainable. This study applies a UAV-based morphometric framework to generate the first baseline body condition estimates for Indo-Pacific bottlenose (Tursiops aduncus) and Australian humpback dolphins (Sousa sahulensis) across southeast Queensland (SEQ), Australia. Using LiDAR-corrected altitude data and standardised photogrammetric workflows (MorphoMetriX and CollatriX), we calculated Body Area Index (BAI) for 160 individuals with a Bayesian modelling approach and evaluated species, age, and region-level variation. Age class was the strongest biological driver of condition where BAI declined predictably with increasing total length, resulting in calves exhibiting the highest values and adults the lowest. Maternal BAI was consistently lower than that of calves, but no correlation between mother–calf condition was detected. Spatial models revealed minimal influence of proximity to river mouths, shorelines, urbanised areas, or marine protected areas on body condition, indicating weak environmental structuring of energetic status at the scale of this study. Our results indicate that intrinsic biological factors exert a stronger influence on body condition than the local environmental characteristics measured here. By establishing species and age-specific baselines, this work provides a quantitative foundation for future ecological modelling aimed at detecting shifts in population health under scenarios of increasing coastal development, environmental variability, and anthropogenic pressure.