Background: The National Cancer Institute Community Cancer Centers Program (NCCCP) was designed to improve care and reduce cancer disparities at community hospitals. This study examined the number of days between diagnosis and treatment for five National Quality Forum-endorsed cancer quality measures. Methods: A retrospective analysis of data from patients diagnosed and receiving breast or colon cancer treatment at 12 NCCCP sites was performed. We examined time to treatment for cancer quality measures, stratified by concordant and non-concordant patients. We compared patients diagnosed before (2006 – 2007) vs. during (2008-2013) the NCCCP period. Results:Concordant Cases. Time to treatment was significantly greater in the NCCCP vs. pre-NCCCP periods for three measures. Compared to pre-the NCCCP period, time to treatment in the NCCCP period was longer by 26 days for women with breast cancer receiving hormonal therapy (HT). Time to HT increased significantly among most patient and hospital subgroups (race, age, insurance, hospital size). Black, Medicaid, and/or uninsured patients generally had longer-than-average time to treatment for all measures when receiving guideline-concordant care. Non-Concordant Cases. Among women with breast cancer who received treatment outside the measure window, most eligible for multi-agent chemotherapy received treatment within one month after the cut-off. In contrast, a majority eligible for other cancer quality measures received treatment more than one after the cut-off. Among women who were non-concordant for HT, those with Medicare or private insurance were significantly more likely to begin HT within one month after the cut-off than were those with Medicaid. Conclusions: More than half of patients non-concordant on cancer quality measures received treatment more than one month after the treatment window. However, many were non-concordant because they were just outside the time window to be considered concordant (< 30 days), particularly Medicaid patients. Rapid reporting of quality indicators could inform targeted efforts to improve care coordination and concordance rates, particularly among certain patient subgroups.