Competitor Analysis in Feasibility Studies: A Methodology Note

The chapter that decides the deal

Most feasibility studies are decided in one chapter. Not the executive summary, and not the financial model. The competitor analysis. Capture rate, achievable rent or ADR, stabilization curve, DSCR, and the equity injection conversation with the lender all sit on top of how the analyst defined the competitive set and how honestly the numbers coming back from it were read.

The standards have tightened sharply. Since SBA SOP 50 10 8 took effect on June 1, 2025, lenders no longer operate under their own internal credit policy minimums. The SOP imposes a uniform standard and asks the lender to evaluate "the level of competition in the market area" before sizing equity. USDA followed a parallel path with 7 CFR Part 5001, which now governs B&I, REAP, Community Facilities, and Water and Waste Disposal under one framework. Both regimes expect the feasibility consultant to be independent, qualified, and prepared to defend the competitive analysis under stress, not just under a base case.

The implication is straightforward. A competitor analysis in 2026 is no longer a list of nearby properties with rents pulled off a website. It is a structured, multi-source, forward-looking study built to withstand pointed questions from an SBA reviewer or a USDA underwriter.

What the analysis is, and what it is not

Confusion persists in the market about how a feasibility competitor analysis differs from work produced by appraisers and brokers. The distinction matters because the deliverables are not interchangeable, and lenders increasingly recognize the gap.

The Sales Comparison Approach in an appraisal looks backward at closed transactions to indicate value. A broker's CMA selects four to six recent listings within a mile or two, on a few months of data, and produces a pricing recommendation. Each has its purpose. Neither answers the question a feasibility study must answer: whether the subject property, once built or repositioned, can capture sufficient demand at the right price to service the debt the lender is being asked to issue.

A feasibility competitor analysis is forward looking. It draws on operating properties' realized rents, occupancies, rates, and ancillary revenues. It layers in the supply pipeline. It accounts for shadow supply, the kind of competition that does not surface in a CoStar pull. And it produces capture and penetration assumptions that flow directly into the pro forma.

The framework is codified by the Appraisal Institute in The Appraisal of Real Estate, 15th edition, and reinforced in the AI's Marketability Studies curriculum. Six steps in sequence: property productivity, market area definition, demand analysis, competitive supply analysis, residual demand calculation, and subject capture forecast. The spine holds across asset classes. The data sources and metrics change. The sequence does not.

The institutional sequence

The institutional process runs nine steps. Three of them concentrate most of the analytical risk.

The first is trade area definition. The lazy version is a five-mile radius. The institutional version is a drive-time isochrone for resident-based product, a feeder-market drive radius of one to three hundred miles for destination outdoor hospitality, and a mobility-derived "true trade area" wherever the data supports it. Placer.ai now allows analysts to validate where competitors' actual visitors and renters originate, which often reveals that a textbook radius captures the wrong households entirely. In multifamily projects where the operative commute shed runs fifteen minutes in three directions and forty in the fourth because the employment center is offset from the property, a radius produces a wrong PMA and a wrong capture rate.

The second is comp set construction. Three tiers. The primary set comprises the four to seven properties the subject genuinely cross-shops against, screened on positioning, scale, vintage, brand, amenities, and price band. The secondary set covers cross-shop alternatives that bleed demand at the margins. The aspirational set, when it exists, is labeled clearly. Confusing aspirational comps with actual competition is the single most common error in third-party studies.

The third is triangulation. No institutional study should rest on one data source. CoStar plus Yardi Matrix plus ALN for multifamily. STR plus Kalibri Labs plus HotStats for hotels. Roverpass plus Campspot plus the OHPI index for outdoor hospitality. Where sources diverge, the divergence is information and is documented in the report. Where they converge, the conclusion is defensible.

The supporting steps sit between: universe identification, screening criteria, the adjustments matrix, saturation benchmarking, forward pipeline analysis, performance benchmarking, and stress testing. The sequence is non-negotiable.

Multifamily: the asset class that looks easy and is not

Multifamily appears to be the simple asset class. It is not. The data is abundant, which creates the illusion that the analysis is straightforward, and that is precisely where studies become sloppy.

The Primary Market Area is the first decision, and the most frequently mishandled. Drive time, not radius. Validated against where comparable properties' renters actually originate. NCHMA's Best Practices for Rural Rental Housing Market Studies explicitly warns against defaulting to county or place boundaries when the subject sits at a boundary, and the same logic applies to suburban submarkets where commute patterns cross municipal lines.

Comp screening filters on vintage cohorts, unit count within fifty to two hundred percent of subject scale, Class designation, unit-mix overlap, amenity tier, and rent band of plus or minus fifteen to twenty percent. Yardi Matrix, covering more than 92,000 multifamily properties and 18 million units across 135 markets, provides rent and occupancy detail with full ownership transparency. CoStar contributes the universe and sales context. RealPage and ALN Apartment Data deliver concessions and true effective rents. Apartments.com, RentCafe, and Zumper enable listing-level triangulation. ACS, HUD CHAS, and ESRI supply the household-income side of the capture rate calculation.

The metric of first importance is effective rent per square foot, after concessions are amortized. Second is concession burn-off. A market quoting strong asking rents while giving back two months free is not the market it appears to be. The pipeline is the third leg. Yardi forecasts more than 1.3 million units delivering between 2026 and 2028 nationally, which means submarket-level pipeline analysis separates studies that hold up from studies that do not.

Capture rate methodology follows NCHMA. Subject units divided by income-, age-, and size-qualified renter households in the PMA. Penetration rate adds comparable vacancies and pipeline units to the numerator. NCHMA is explicit on the point: capture and penetration rates are thresholds, not verdicts. A capture below ten percent is generally acceptable. Fifteen percent can be acceptable in fast-growth markets with documented in-migration. The absolute number is less informative than the trajectory and the AMI-band breakdown. Capture must run by AMI band and by bedroom count, because uneven mix can hide infeasibility inside a project that looks defensible in aggregate.

One competitive layer that did not exist a decade ago belongs in every study. Build-to-rent and SFR. Yardi Matrix tracks BTR rents above $2,200 per month in mid-2025, roughly 24 percent above conventional multifamily, and the product cross-shops directly with three-bedroom apartments aimed at families. If the subject targets families and SFR is omitted, the comp set is incomplete and the rent forecast is probably overstated.

RV resorts and outdoor hospitality: a methodology that has only just matured

Outdoor hospitality shows the largest gap between studies that pass cursory review and studies that genuinely defend a deal. The data infrastructure is younger than multifamily or hotels, and the demand side is fundamentally different. Multifamily renters originate down the road. RV guests at a destination park originate three states away. The trade area methodology has to reflect that, or the study is wrong from page one.

Destination parks call for feeder-market drive isochrones of 250 to 500 miles, with proximity scoring against demand drivers including national parks, COE lakes, coastlines, ski resorts, festivals, and theme parks. Overnight transient parks along an interstate collapse to a one-mile corridor and an AADT count. Snowbird and extended-stay parks require climate-band and migration-corridor mapping along the Sun Belt I-10, I-75, and I-95 routes. These are not interchangeable analytical frames, and a study that adopts the wrong one cannot recover later.

The screening criteria are denser than they appear. Site count and site mix, meaning back-in versus pull-through, full hookup at 50-amp versus 30-amp versus 20-amp, partial hookup, and primitive. Big-rig accessibility, governed by site dimensions and turning radii. The amenity stack: pool, clubhouse, laundry, dog park, pickleball, cornhole, bath houses. Seasonality, defined by months of operation. Brand affiliation across KOA, Sun Outdoors, Jellystone, Equity LifeStyle, Thousand Trails and Encore membership networks, and Margaritaville. Independent versus portfolio managed.

The data stack has matured considerably. Roverpass, Campspot, Good Sam, KOA Directory, AllStays, The Dyrt, and Hipcamp form the universe and rate side. ARVC publishes industry standards. The KOA and Cairn Consulting Group North American Camping and Outdoor Hospitality Report, in its twelfth edition, sized the camper-household market at roughly 52 million in 2026 with $66 billion in local-community spending, and tracked the structural shift away from traditional RVing toward car camping, overlanding, and dispersed camping. Sage Outdoor Advisory and Horwath HTL provide operational benchmarks. RVIA's annual handbook covers shipment and ownership demographics.

The methodological breakthrough arrived in 2026 with the Outdoor Hospitality Pricing Index, launched by Insider Perks. The index tracks more than 16,000 properties and 2 million deduplicated price observations across seven segments. It is the first Case-Shiller-style monthly benchmark the asset class has ever had. It establishes a defensible composite rate ($100.88 weighted average), a documented seasonal swing of 13.5 percent peak to trough, a 20.8 percent waterfront premium, and an 8 percent pull-through-over-back-in delta. Before OHPI, every study calibrated rate from a custom comp survey. The survey remains essential, but the index now provides the national anchor lenders have been requesting.

The metrics that matter on every outdoor hospitality study: site rate by tenor (nightly, weekly, monthly), RevPAS as the direct analog to RevPAR, trailing twelve-month gross revenue per rentable site, occupancy seasonality curves rather than annual averages, ancillary revenue per site, and the transient-to-monthly-to-seasonal-to-annual mix. The mix drives the valuation multiple as much as the rate.

The most common pitfall in third-party RV studies is missing shadow supply. A Thousand Trails or Outdoor Adventures membership park within the trade area suppresses transient and monthly occupancy at the subject in ways that do not appear in a Campspot rate scrape. Public campgrounds at state parks and Corps of Engineers lakes do the same. Both must be modeled explicitly.

Hotels: the asset class where the rules are written down

Hotel feasibility carries the most codified competitive analysis methodology in commercial real estate, principally because STR (now CoStar) wrote the rules in plain English and the industry adopted them.

A compliant comp set requires a minimum of four participating properties excluding the subject, at least three unaffiliated with the subject, at least two unaffiliated companies, no single brand exceeding 50 percent of comp-set room supply, and no single company exceeding 70 percent. A 90-day non-compliance window applies before deletion. Three tiers within those rules: a primary STR comp set of four to seven hotels in the same chain-scale band with similar room count and demand-driver orientation, a secondary set covering adjacent chain scales for cross-shop scenarios, and an aspirational set whenever repositioning or brand conversion is in play. The aspirational set carries an explicit label in the report, because confusing aspirational comps with actual ones produces forecasts that get hotels underwritten and then break them in year two.

Screening is straightforward in this asset class because the taxonomy exists. Chain scale per STR (Luxury, Upper Upscale, Upscale, Upper Midscale, Midscale, Economy, Independent), brand affiliation, room count within 30 to 50 percent of subject, location type (airport, urban CBD, suburban, interstate, resort, convention adjacent), service tier, meeting space configuration, and demand mix orientation across corporate transient, leisure transient, group, and contract.

The data stack is the most mature in any CRE asset class. STR/CoStar Trend Reports remain the gold standard for ADR, occupancy, and RevPAR by comp set. HVS publishes the penetration-analysis framework that anchors most SBA 7(a) and CMBS hotel feasibility work, including the Simultaneous Valuation Formula. Kalibri Labs aggregates transaction-level guest folio data from more than 33,000 hotels with seven-plus years of history, supplying length-of-stay segmentation in 7-14, 15-29, and 30-plus day buckets that are essential for extended-stay feasibility. HotStats covers P&L benchmarking across 600-plus markets with departmental revenue, payroll, and GOPPAR detail. Lodging Econometrics owns the forward pipeline. At the close of Q4 2025, the U.S. pipeline stood at 6,146 projects and 720,089 rooms. The 2026 forecast is 708 new openings and 80,034 rooms, representing 1.4 percent supply growth. The 2027 forecast is 824 openings and 88,095 rooms at 1.5 percent. AirDNA covers STR shadow supply, with the caveat that peer-reviewed research finds AirDNA tends to overstate Airbnb ADR and occupancy compared to STR-equivalent definitions. Best practice applies a 15 to 25 percent downward adjustment when translating Airbnb supply into hotel-equivalent room nights.

The metrics are standardized. ADR, occupancy, RevPAR, and the index trio: MPI, ARI, and RGI. MPI is subject occupancy divided by comp-set occupancy times 100. ARI is subject ADR divided by comp-set ADR times 100. RGI is subject RevPAR divided by comp-set RevPAR times 100. A property at MPI 100 and ARI 100 operates at fair share. The combinations diagnose the strategy gap. High MPI with low ARI signals underpricing. Low MPI with high ARI signals overpricing. Any feasibility study worth reading uses the index combination to forecast where a new or repositioned subject will land relative to its set.

Penetration analysis is where the methodology earns its keep. The HVS approach pulls historical comp-set ADR, occupancy, and RevPAR from the STR Trend Report. Demand is segmented by transient business, transient leisure, group, and contract. Subject occupancy penetration and ADR penetration are estimated by segment, applied to projected market-wide demand, and translated into subject occupancy and ADR. Stabilization typically lands in year three or four, with year one ramp at 70 to 80 percent of stabilized RevPAR penetration. The forecast feeds the DCF. HVS's land-feasibility rule of thumb provides a cross-check: land value should not exceed occupancy times ADR times rooms times 365 times 0.04, divided by 0.08.

Brand and PIP considerations layer on top. Brand premium or discount is estimated from STR chain-scale data for the trade area. Property Improvement Plans are modeled as ramp-down during renovation with a documented disruption impact. None of this is exotic. It is rigorous.

Recurring failure modes

Eight errors recur in third-party studies sent for peer review:

• Comp sets that are too narrow, too broad, or aspirational rather than actual.

• Missing shadow supply: STR rentals for lodging, BTR and SFR for multifamily, membership clubs and public campgrounds for outdoor hospitality.

• Self-reported listing rates substituted for realized transacted rates.

• Pipeline analysis at the MSA level when the submarket is the true market.

• Single-source data with no triangulation.

• Quality and positioning differences left unadjusted.

• Capture and penetration assumptions presented as point estimates with no sensitivity.

• Trade areas defined by radius when drive time or feeder-market modeling is appropriate.

A defensible study stress tests on three dimensions. ADR or rent at plus or minus five percent. Occupancy at plus or minus 200 to 300 basis points. Stabilization timing at plus or minus six months. Break-even capture and penetration are stated explicitly, so the lender knows precisely what the project must clear, not merely what the base case projects.

Where the methodology is heading

Four directional shifts are reshaping institutional practice.

Mobility data is replacing radial trade-area assumptions wherever the underlying business case justifies it. Placer.ai, SafeGraph, and Buxton produce trade areas grounded in observed visitor and resident origin rather than gravity models written in the 1970s.

AI-driven comp screening has arrived in earnest. CoStar Composite Properties, Kalibri ProfitMix and Hummingbird Market, and Lighthouse Smart Compset dynamically adjust comp-set composition based on observed performance correlation rather than analyst intuition. The outputs serve as a check on manual sets, not a replacement.

Length-of-stay segmentation is now table stakes for extended-stay hotel feasibility, and an emerging standard for RV transient-versus-monthly-versus-seasonal-versus-annual mix analysis. Kalibri's 7-14, 15-29, and 30-plus day buckets are the right framework for both.

The regulatory regime has tightened. SBA SOP 50 10 8 eliminated lender discretion in 2025. USDA OneRD harmonized the rural lending framework. NCHMA updated its Model Content Standards in September 2025. Each change raises the bar on the competitor analysis specifically, because that is where lender and agency reviewers focus first.

Closing observation

There is no asset class where competitor analysis is optional, and no asset class where it can be performed from a desk without ground-truthing. The studies that secure loan approval, and the studies that survive the operating reality two and three years later, share the same structure: an honest trade area, a defensible comp set built on multiple data sources, a forward pipeline that includes shadow supply, a capture and penetration framework that runs by segment, and a sensitivity analysis that tells the lender what the project must clear, not what the analyst hopes it will. Under the post-2025 regime, anything less is no longer institutionally acceptable.

April 29, 2026 by Michal Mohelsky, J.D.

MMCG Invest, LLC is feasibility study consultant that provides independent, third-party feasibility studies for SBA and USDA guaranteed loan programs across all commercial real estate asset classes, including multifamily, hotel, industrial, retail, self-storage, senior living, and mixed-use properties. Our studies incorporate absorption rate analysis, lease-up modeling, pre-stabilization cash flow bridging, pro forma and scenario-based stress testing to meet the analytical rigor required by leading government-guaranteed lenders, CDCs, and institutional investors. For more information, contact our team directly.

Evaluating a development or acquisition that requires defensible absorption assumptions? Reach out to discuss how our methodology supports your lending decision.

Michal Mohelsky, J.D. | Principal | mmcginvest.com 

Contact: michal@mmcginvest.com

Phone: (628) 225-1125

Disclaimer: This report is provided for informational purposes only and does not constitute investment advice. Data presented herein is derived from proprietary MMCG databases and third-party sources believed to be reliable; however, MMCG Invest makes no representation as to the accuracy or completeness of such information. Figures from third-party industry databases have been independently verified and, where appropriate, adjusted to reflect MMCG's proprietary analytical methodology. Past performance is not indicative of future results.

Sources:

• U.S. Small Business Administration — Standard Operating Procedure 50 10 8: Lender and Development Company Loan Programs, effective June 1, 2025. https://www.sba.gov/document/sop-50-10-lender-development-company-loan-programs

• U.S. Department of Agriculture, Rural Development — 7 CFR Part 5001: OneRD Guarantee Loan Initiative (B&I, REAP, Community Facilities, Water and Waste Disposal). https://www.rd.usda.gov/onerdguarantee

• Appraisal Institute — The Appraisal of Real Estate, 15th edition. Chicago: Appraisal Institute, 2020. The codified Six-Step Process for market and competitive analysis.

• National Council of Housing Market Analysts (NCHMA) — Model Content Standards for Rental Housing Market Studies (updated September 2025); Demand and Capture Rate Methodologies; Best Practices for Rural Rental Housing Market Studies. https://www.housingonline.com/councils/national-council-housing-market-analysts/

• STR / CoStar Group — Competitive Set Guidelines and STR Trend Report methodology. The institutional standard for hotel comp set construction (4-property minimum, 3 unaffiliated, no brand >50%, no company >70%). https://www.costar.com/products/str-benchmark/resources/guidelines/competitive-set-guidelines

• Lodging Econometrics — U.S. Hotel Construction Pipeline Trend Report, Q4 2025: 6,146 projects / 720,089 rooms; 2026 forecast 708 openings / 80,034 rooms (+1.4%); 2027 forecast 824 openings / 88,095 rooms (+1.5%). https://lodgingeconometrics.com/

• Kampgrounds of America (KOA) and Cairn Consulting Group — 2026 North American Camping and Outdoor Hospitality Report, 12th edition (~52M camper households, $66B local spending). Complemented by the Insider Perks Outdoor Hospitality Pricing Index (OHPI), launched 2026: composite weighted rate $100.88, 13.5% peak-to-trough seasonal swing. https://koa.com/north-american-camping-report/