Structured MFRS reports for 80+ Division I programs · FY2004–FY2025 · Free for academic & non-commercial use
College Sports Finance compiles financial disclosure reports from NCAA Division I athletic departments and makes the data publicly explorable through an interactive dashboard. All records originate from the NCAA Membership Financial Reporting System (MFRS), obtained via public records requests and voluntary athletic department disclosures. This page documents what is in the dataset, how to cite it, and how to request access for research.
Please use the citation below (APA 7th edition). Add the date you accessed the site where indicated. Citations that include the URL generate backlinks that support continued open access to this data.
College Sports Finance. (2026). NCAA Division I Athletic Department Financial Reports [Dataset]. Retrieved [Month Day, Year], from https://college-sports-finance.com/data.html
For sport-level or conference-specific subsets, note the relevant filter in your methods section (e.g., "Big Ten schools, FY2022–FY2025, accessed via College Sports Finance").
This dataset is made available under a Creative Commons Attribution–NonCommercial 4.0 International (CC BY-NC 4.0) license. You are free to share and adapt the data for non-commercial purposes, provided you give appropriate credit. Commercial use requires prior written permission — contact us below.
All data originates from the NCAA Membership Financial Reporting System (MFRS), the annual financial disclosure required of all NCAA Division I member institutions. Reports are obtained via state public records (FOIA) requests and voluntary disclosures by athletic departments, then parsed and converted to structured JSON. Each institution-year record maps directly to MFRS line-item numbers, making it straightforward to cross-reference against the source PDFs.
The data is freely accessible through the interactive dashboard. If you are working on a research project and need a structured data export, have questions about variable definitions, or need to verify coverage before building your study design around this dataset, get in touch — we are happy to help.
Researchers can request a structured export, ask about variable definitions, or discuss dataset coverage for a specific study. We respond to academic inquiries within a few business days.
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