Vermont
Self-employed and investors
Vermont
Count of Non-QM loans
Vermont
Non-QM lending growth
Vermont is a notable Non-QM lending market, with 837 Non-QM loans originated in 2025, representing an increase of 24.55% from the previous year. Non-QM lending activity is highly concentrated in the state's most active metropolitan areas, particularly Chittenden County, Windsor County, and Windsor County. Even so, a meaningful share of alternative lending occurs outside these major statistical areas, reflecting the broad geographic expansion of housing across the state. These markets combine unique borrower demographics, including self-employed professionals and real estate investors, driving sustained demand for flexible mortgage products. Leading the charge in origination volume for the state are top-tier lenders such as Rocket Mortgage, Llc, Eastrise Federal Credit Union, and 802 Credit Union Inc.. As the housing landscape evolves, Vermont continues to demonstrate ongoing reliance on specialized financing solutions beyond traditional agency guidelines.
Polygon Vision estimates that Vermont presents a Total Addressable Market (TAM) of approximately 14,357 potential Non-QM borrowers. This opportunity is comprised of 10,266 self-employed households and 4,091 small real estate investors. These segments often struggle with traditional 'box' underwriting due to non-standard income documentation or complex asset structures. Using Polygon CensusVision, we identify the self-employed households via American Community Survey (ACS) data, representing a substantial demand for bank-statement and P&L-based programs. Simultaneously, using Polygon HMDAVision, we identify small real estate investors holding 1 to 4 properties, highlighting a massive need for Debt Service Coverage Ratio (DSCR) lending products. Bridging the gap between this vast combined potential and current origination levels represents a primary growth lever for Non-QM specialists in Vermont.
This figure reflects Polygon Research’s estimate of the total addressable Non-QM market in this state. It combines modeled counts of self-employed households with mortgage-relevant income and small real estate investors using ACS microdata processed through CensusVision. How we size the Non-QM market
Polygon Research calculates that Non-QM loans represented 10% of total U.S. mortgage originations in 2025 by loan count and 9.8% by dollar volume, totaling over $232 billion across 697,404 loans. This is based on loan-level HMDA data classified using the ATR/QM regulatory framework. This market size analysis is based on Polygon Research's methodology described in a recent whitepaper. You can download it here to learn more: https://www.polygonresearch.com/whitepapers/unlocking-non-qm-market-intelligence
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Non-QM loans include mortgages that do not meet Qualified Mortgage standards due to factors such as alternative income documentation (bank statement loans), debt service coverage ratio underwriting (DSCR loans for investors), interest-only payment structures, pricing above QM thresholds, or sale to private securitizers rather than government-sponsored enterprises. For analytical purposes, Polygon Research also flags business-purpose and DSCR loans separately within the Non-QM category. Download the full methodology: https://www.polygonresearch.com/whitepapers/unlocking-non-qm-market-intelligence
You can start immediately with a 7-day free trial to get hands-on experience with the data before making any commitments. A credit card is required to register, but you will have full access to explore Polygon Vision's contextual analysis and Non-QM market insights during your trial. Start your free trial here: www.polygonresearch.com/pricing
Yes. Polygon Vision provides loan-level Non-QM analysis filterable by state, metropolitan area, county, and census tract. Data includes origination volume, top lenders, borrower profiles, pricing, and year-over-year growth trends. Free state-level reports are available on this page, and full interactive data is accessible through a 7-day free trial.
Each HMDA loan record from 2018 through 2025 is evaluated against year-specific Ability-to-Repay and Qualified Mortgage standards from 12 CFR §1026.43. Classification is based on observable loan characteristics including pricing thresholds, product features, fee structures, and purchaser type. The full methodology is publicly documented: https://www.polygonresearch.com/whitepapers/unlocking-non-qm-market-intelligence
Most industry estimates rely on securitization data, inferred flags from known Non-QM lender names, samples, or lock activity. Polygon analyzes all funded HMDA loans, including portfolio lending, providing a more complete and transparent view of the Non-QM market. Read our methodology: https://www.polygonresearch.com/whitepapers/unlocking-non-qm-market-intelligence
Yes. For analytical purposes, business-purpose and DSCR loans are incorporated into the Non-QM category and flagged separately, even though ATR/QM rules do not govern business-purpose credit. Learn more in our methodology whitepaper.
Yes. Polygon's Non-QM classification is fully transparent and built on specific, loan-level reason codes (pricing, fees, product features, purchaser type, and more). Users can filter and adjust these factors to focus only on regulatory features or build a custom definition aligned with their strategy, risk, or compliance needs. Download the methodology to learn more: https://www.polygonresearch.com/whitepapers/unlocking-non-qm-market-intelligence
No. Polygon Research's Non-QM designation is a Regulation Z informed analytic classification designed for market intelligence, benchmarking, and strategy. It is not a substitute for lender-side legal or compliance determinations. To learn more, download the methodology: https://www.polygonresearch.com/whitepapers/unlocking-non-qm-market-intelligence
