Significance: Emerging evidence that aggressive breast tumors rely on various substrates including lipids and glucose to proliferate and recur necessitates the development of tools to track multiple metabolic and vascular endpoints concurrently Aim: Our quantitative spectroscopy technique provides time-matched measurements of the three major axes of breast cancer metabolism as well as tissue vascular properties Approach: We leverage exogenous fluorophores to quantify oxidative phosphorylation, glucose uptake, and fatty acid oxidation and endogenous contrast for measurements of hemoglobin and oxygen saturation. An inverse Monte Carlo algorithm corrects for aberrations resulting from tissue optical properties, allowing the unmixing of spectrally overlapping fluorophores. Results: Implementation of our inverse Monte Carlo resulted in a linear relationship of fluorophore intensity with concentration (R Conclusions: Our system is capable of measuring major axes of metabolism and associated vascular endpoints, allowing for future study of tumor metabolic flexibility.