MMCG Analytics is the data platform written by the feasibility consultants who author the studies lenders actually approve. Live demographics, comparable transactions, supply pipeline, lender activity, and DSCR sensitivity, normalized to SOP 50 10 8 and 7 CFR Part 5001 standards across thirty plus commercial real estate asset classes.
Coverage current through Q1 2026. Data lineage and source attribution available in the methodology appendix.
Enter an address. Receive parcel, building, zoning, demographics, competitive set, location risk, market intelligence, and DSCR-grade underwriting. Every output is sourced, normalized, and citable in the form a credit memo expects.
Address-level lookup across 158M parcels: ownership, APN, lot dimensions, assessed value, prior transactions, and recorded encumbrances where disclosed in public title records.
→GBA, year built, last renovation, construction class, story count, condition rating, parking ratios, and roof, HVAC, and structural attributes.
→Search by address across most of the U.S. Base zoning, overlay districts, permitted uses, FAR, height limits, setbacks, and entitlement pathway.
→Census ACS, Esri GeoEnrichment, BLS, and consumer spending. Subject trade area indexed against MSA, state, and asset-class peer cohorts.
→Identify competitors within radius or drive time, then benchmark rates, occupancy, unit mix, amenities, vintage, and operating ratios against the subject.
→Wind, wildfire, seismic, FEMA flood, wetlands, hail, and climate exposure. Composite risk score returned with each address lookup.
→Permits, starts, deliveries, absorption, and lender activity at the submarket level. Twelve and thirty-six month forward supply projection bands.
→DSCR sensitivity, capture rate calibration, sources and uses, ten-year scaffolds, and the MMCG SBA DSCR Index. Export to Excel or pull via API.
→Enter a property address anywhere in the contiguous United States. The platform geocodes it and returns live demographics, competitive set, FEMA flood, USGS seismic, and climate exposure — assembled in the structure a credit memo expects. Data is pulled in real time from federal and open sources.
The live workspace, driven by the same address you look up above. Toggle layers on the interactive map; the right rail surfaces the underwriting reads MMCG writes into a feasibility study.
Seven independent risk vectors are scored against authoritative federal datasets, then composited into a single index. FEMA flood, USGS seismic, and Open-Meteo climate resolve live at the parcel; wind, hail, and wildfire are regionally modeled pending point-service keys.
Composites in the 30 to 45 band typically clear standard insurance pricing with modest surcharges and receive full standard reserve treatment under SBA SOP 50 10 8 underwriting guidance.
Underwriting officers use Analytics to validate sponsor narratives in under ten minutes: comp set integrity, demand depth, supply pipeline, and DSCR sensitivity at the SBA SOP 50 10 8 floor.
Sponsors use Analytics to test feasibility before retaining counsel, contractor, or feasibility consultant. The platform models the questions credit committees will ask, so the answers are ready when the file is.
Investment sales teams use Analytics to position assets, calibrate broker opinions of value, and prepare the lender-grade evidence packet that converts a soft LOI into a closed transaction.
A quarterly composite reading of debt service coverage compression and expansion across the SBA 7(a) and 504 loan tape, segmented by asset class and lender pair. The index tracks the SOP 50 10 8 transition that took effect in June 2025 and is built from public SBA FOIA data, normalized to the methodology MMCG applies in its feasibility studies.
Every dataset, every model, and every visualization on the platform is governed by the same analytical framework MMCG applies in its third-party feasibility studies. Coverage is documented; sources are attributed; reproducibility is a contractual standard.
Every record traces to an enumerated primary source: county assessor, USDA loan registry, SBA tape, BLS, Census ACS, FEMA, USGS, or MMCG's own primary research. Lineage is queryable on every cell.
Comparables are reconciled to subject characteristics before they reach the screen. Asset class, vintage, market position, and revenue model are matched on a calibrated weighting that the firm publishes and stands behind.
Every workspace state can be replayed. Datasets carry timestamped versions; model outputs carry their assumption set. A study delivered today will produce the same numbers six months from now.
Outputs map to the structures lenders actually require: SBA SOP 50 10 8, USDA 7 CFR Part 5001 Appendix A, and conventional credit committee templates. Exhibits are citation-ready as delivered.
Methodology authored by Michal Mohelsky, J.D., Practicing Affiliate of the Appraisal Institute. The platform is governed by the same USPAP-aligned standards under which MMCG Invest authors its bankable feasibility studies.
Read the appendix →MMCG Analytics is the data layer behind MMCG Invest's feasibility-study practice. The same comparable sets, demographic reads, and DSCR sensitivities that go into a bankable study under SBA SOP 50 10 8 or USDA 7 CFR Part 5001 are surfaced in the workspace.
The scenario above is a representative file: a credit officer assembling the comparable set, demographic benchmarks, and DSCR sensitivity that a SBA or USDA underwriting memo would otherwise be built from external data subscriptions and analyst time.
At public launch, anchor partners will deploy the workspace alongside MMCG's existing feasibility-study escalation path: any workspace session can be promoted to a full bankable study delivered in the firm's standard nine to sixteen business day window.
Lenders, sponsors, and brokers can reserve a seat in the anchor cohort ahead of Q3 2026 public launch. We'll respond within one business day with a scoped onboarding window and a methodology preview.
The MMCG SBA DSCR Index, the Cap Rate Spread Reading, and the Feasibility Index, plus methodology updates and platform release notes. Segmented by role.