Background: Ischemic stroke is a leading cause of death and disability. Society guidelines recommend pharmacotherapies for secondary stroke prevention. However, the role of sex differences in prescription and adherence to guideline-directed medical therapies (GDMT) after ischemic stroke remains understudied. The aim of this study was to examine sex differences in prescription and adherence to GDMT at 1-year after ischemic stroke in a cohort of commercially insured patients. Methods: Using the Truven Health MarketScan database from 2016-2020, we identified patients admitted with ischemic stroke. GDMT was defined as any statin, antihypertensive, and anticoagulant prescription within 30-days after discharge. Medication adherence was estimated using the proportion of days covered (PDC) at 1-year. PDC <0.80 was used to define non-adherence. A multivariable model adjusting for covariates was performed to identify the factors associated with non-adherence at 1-year. This analysis was restricted to new users of GDMT. Results: Among 155220 patients admitted with acute ischemic stroke during the study period, 15,919 met the inclusion criteria. The mean age was 55.7 years, and 7,701 (48.3%) were women. Women were less likely prescribed statins (58.0% vs 71.8%), and antihypertensives (27.7% vs 41.8%). In this subset of patients with atrial flutter/fibrillation, women were also less likely prescribed anticoagulants (41.2% vs 45.0%). Women were more likely to be non-adherent (i.e., PDC <0.80) to statins (47.3% vs 41.6%, P<0.0001), antihypertensives (33.3% vs 32.2%, P=0.005), and the combination of both (49.6% vs 45.0%, P=0.003). On multivariable analysis, women were likely to be non-adherent to GDMT at 1-year (odds ratio 1.23, 95% confidence interval 1.08-1.41). Conclusions: In this real-world analysis of commercially insured patients with ischemic stroke, women were less likely initiated on GDMT within 30 days after discharge. Women were more likely to be non-adherent to statins and antihypertensive agents at 1-year. Future efforts and novel interventions are needed to understand the reasons and minimize these disparities.