reprint, amsmath,amssymb, aps, ]revtex4-2 Background: The rapid adoption of best-value biosimilars and generics improves cost-effectiveness of treatment and increases patient access. Despite this, adoption differs among hospitals. Objectives: To quantify variation in adoption among English teaching hospitals, estimate the financial impact of delays, and identify factors influencing uptake. Methods: Mixed-methods analysis across ten hospitals. Dispensing data were analysed for the ten highest-spend medicines switched between 2018 and 2024. The primary outcome was time to 80% best-value adoption. Lost opportunity costs were benchmarked against the fastest adopter per drug. Regression analysis was used to identify predictors of uptake. Semi-structured interviews were transcribed verbatim, inductively analysed, and mapped to the Behaviour Change Wheel. Results: On average, the ten hospitals switched to best-value medicines at a similar rate to the national average. Eighty-three percent of switches achieved 80% adoption within 12 months, though performance varied by hospital and drug. Had all hospitals adopted at the rate of the fastest per drug, £27.8 million would have been saved over the study period. Hospital and drug were statistically significant predictors of the time to switch, and switches with strong financial incentives occurred 3.2 (90% CI 1.7 - 6.1) months faster. Interviews (n=27) identified capability influences (dedicated roles, oversight groups, resource, volume), opportunity influences (commissioner support, regulation, supply continuity), and motivational influences (embedded clinical pharmacists, multidisciplinary engagement, organisational prioritisation). Conclusion: Adoption of best-value medicines in these hospitals was consistent with national averages but concealed inter-hospital variation with major financial implications. Accelerating uptake requires strong organisational infrastructure and incentive structures.