Abstract Background Sigma metrics assess laboratory quality by incorporating precision, accuracy and total error allowed (TEa). Sigma metrics report quality on a scale of 0 to 6, with 6 representing the World-Class quality. QuidelOrtho developed a novel approach using big data analytics for the objective and automated calculation of Sigma metrics across thousands of Vitros® Analyzers running in real laboratory conditions. This approach was previously used to report the Sigma metric performance for 115 assays using data from 2022. A limitation of that study is the metrics were reported for a single fluid that was selected for medical relevance. However, reproductive endocrinology assays have complex medical utilization and there is a benefit to understanding Sigma metrics at multiple levels. The aim of this poster is to provide additional data on the Sigma metrics for reproductive endocrinology assays. Methods The methods follow the previous approach using the same Python algorithm to extract QC data from Jan. to Aug. 2022 (inclusive). Up to seven QC fluid lots were selected for each analyte. Metrics were calculated for each set of QC data that originated from a single analyzer, reagent lot and calibration curve; the median Sigma metric is reported in the Results. Proficiency testing limits were utilized as TEa limits where available, with preference to CLIA 2024 limits. Results Sigma metrics are reported for multiple fluids for the following assays: estradiol, follicular stimulating hormone, luteinizing hormone, progesterone, prolactin, testosterone, human chorionic gonadotropin, and thyroid stimulating hormone. All fluids examined report Sigma metrics greater than 4, which is considered “Good” performance. An exception is luteinizing hormone which has Sigma metrics = 1.9 at the lowest reported concentration. Conclusions Vitros reproductive endocrinology assays report strong Sigma metrics across multiple concentrations, indicating they are highly capable of achieving results within the allowable error.