The STR Report Is Not the Analysis: Why a Benchmark Cannot Underwrite a New Hotel

When a sponsor hands a lender an STR report and calls it the market analysis, the lender is being asked to answer a question the document was never built to answer. An STR benchmark — the STAR report, the Trend report, the Pipeline report — is a historical, backward-looking record of how hotels that already exist have performed against a competitive set. CoStar, which acquired STR in 2019, markets the product plainly as "benchmarking," built on "robust historical data." It is a genuinely useful data feed. It is not a feasibility study, and for a new-build hotel the difference decides the loan.

A defensible hotel feasibility study runs in the opposite direction. It segments and quantifies room-night demand from the ground up, captures the latent and induced demand a benchmark cannot see, projects a segment-level, penetration-based occupancy and average daily rate, models a three-to-five-year ramp to a stabilized year, and resolves the whole exercise into a USALI-structured ten-year income and expense projection that lands on cash flow and debt-service coverage. An STR report measures the performance of supply that already exists. It is silent on whether the market's underlying demand can absorb supply that does not. A lender who accepts the one in place of the other is underwriting unquantified demand risk — and on a hotel, an SBA special-purpose asset, that is precisely the gap where loans default.

What an STR report actually is

Smith Travel Research was founded in 1985 on a simple premise: if hotels anonymously pooled their performance data, every participant would gain competitive insight none could assemble alone. STR was acquired by CoStar Group in 2019, and the product is now formally "CoStar with STR Benchmark," though the industry still calls it the STR report, or the STAR report — the Smith Travel Accommodations Report — in universal shorthand.

The product family is worth naming, because each report is historical by design. The STAR report benchmarks a single subject hotel against a self-selected competitive set, reporting occupancy, ADR, and RevPAR, the index scores, a rank ("3 of 6"), and segmentation into transient, group, and contract demand. The Trend report gives historical supply, demand, and performance for a market or submarket; HVS studies routinely order an STR Trend Report of historical supply and demand for the competitive group. The Pipeline report counts planned and under-construction supply from the STR/Dodge Construction pipeline database — and STR's own educational materials describe it as "an important part of a thorough feasibility study," an input to the study, not a replacement for it. STR's forward Market Forecasts exist, but they are a separate econometric product produced "in partnership with leading forecasting company, Tourism Economics," not part of the benchmarking suite.

The metrics themselves follow CoStar and HSMAI conventions: supply is rooms available, demand is rooms sold, and occupancy is demand divided by supply; ADR is room revenue divided by rooms sold; and RevPAR is room revenue divided by rooms available, equivalently occupancy multiplied by ADR. The competitive set is chosen by the subject hotel — conventionally three to five hotels similar in location, class, price, and size — and STR aggregates and anonymizes the pool so no single competitor's data is identifiable. Every one of these outputs describes what has already happened. That is the defining feature, and the defining limit.

The penetration indices, and the fair-share math beneath them

The three index scores are the heart of the STAR report and the most misused numbers in hotel underwriting. Each divides the subject's metric by the competitive set's and multiplies by 100.

CoStar's glossary states that each index is "historically described as 'fair share,'" with 100 the neutral point: above 100 is "more than the expected share," below 100 is "less than the expected share." Its own worked example is deliberately plain — if the subject's ADR is $50 and the set's ADR is $50, the ARI is 100; at a $60 ADR the ARI is 120; at $40 it is 80.

"Fair share" is a rooms-share concept, and the arithmetic is exact. A hotel's fair share equals its rooms divided by the competitive-set rooms; its actual, or achieved, share equals its room nights sold divided by the set's room nights sold; and the penetration index is actual share divided by fair share, times 100. Take a 100-room subject in a competitive set of 1,000 rooms. Its fair share is 100 ÷ 1,000, or 10 percent. If the whole set sells 700 room nights on a given night — 70 percent occupancy — and the subject sells 84 of them, or 84 percent occupancy, the subject's actual share is 84 ÷ 700, or 12 percent. Its penetration index is 12 ÷ 10, or 120, identical to the MPI you would read straight off 84 percent ÷ 70 percent × 100. The two formulations are algebraically the same because supply sits fixed in both denominators.

The indices also diagnose. An ARI of 105 against an MPI of 85 yields an RGI of roughly 105 × 85 ÷ 100, or 89: the hotel is winning rate but losing volume, and its net yield is underperforming the set. That is a genuinely useful read — for a hotel that already exists.

The reason this matters for feasibility is structural. Every index is computed from realized performance of existing hotels. It describes how a fixed quantity of demand is split. It cannot describe how much demand there is, whether that demand is growing, or whether adding another slice of supply is justified by demand the market has not yet accommodated.

What a feasibility study does that a benchmark cannot

Professional hotel feasibility work — as HVS, CBRE Hotels, and their peers practice it — follows a consistent architecture. A representative HVS table of contents, whether for a Mitchell County, North Carolina study, a University City, Missouri study, or a Buffalo convention hotel, moves through the same seven stages: a market-area analysis of economic and demographic drivers, site access, and proximity to demand generators; a lodging-supply analysis of the existing competitive set plus the pipeline, where the STR Trend and Pipeline data are inputs; a lodging-demand analysis that segments and builds up room-night demand; a demand-supply balance and penetration analysis that allocates that demand across existing and proposed hotels segment by segment; a projection of occupancy and ADR; a ramp-up to a stabilized year; and a ten-year income and expense projection under the Uniform System of Accounts for the Lodging Industry, USALI.

The demand-generator and demand-segmentation work is the core discipline a benchmark structurally cannot supply. HVS's Brian Bisema frames three primary segments — commercial, meeting and group, and leisure — each with its own length of stay, day-of-week pattern, double-occupancy rate, price sensitivity, and growth path. Leisure travelers, for instance, typically stay one to four days at double-occupancy rates of 1.8 to 2.5 people per room and fill Friday and Saturday nights, while commercial and meeting demand is weekday-weighted. A new-build study has to identify the specific generators — major employers and corporate offices, convention and meeting facilities, universities, hospitals, airports and their passenger counts, attractions, sports venues — and estimate the room nights each throws off. An STR report cannot do this: it reports the performance of hotels, not the behavior of the demand sources beneath them.

The same is true of latent demand. Steve Rushmore, the founder of HVS, defines total market demand as accommodated demand plus latent demand, where latent demand is the sum of unaccommodated and induced demand. Unaccommodated demand is the travel turned away when hotels sell out on peak nights — the 100-room property that consistently turns away fifteen guests across a hundred sold-out nights — and it is measured through turn-away analysis and sold-out-night counts. Induced demand is the travel a specific new cause will pull into the market: a convention hotel with meeting space the market lacked, a new airport hub, a major attraction, a brand able to rotate group business in. An STR report, being a record of accommodated performance only, captures neither, yet for new-build feasibility these are frequently the difference between a feasible project and an infeasible one.

Rushmore's primary method is the build-up approach — the "build-up based on lodging activity, which measures the demand the market is in fact accommodating, by counting it," cross-checked against a "build-up based on demand generators, which works the same calculation from the other direction by sampling the major sources of travel." The unit throughout is the room night, one room occupied for one night. Notably, Rushmore argues the correct allocation tool is segment-level competitive indices rather than simple penetration rates — a subtlety that separates a rigorous study from index-copying, and one a lender should expect the analyst to have a stated position on. In feasibility the analyst then projects the new hotel's capture forward, from its quality, brand, location, and competitive landscape. Assuming a new hotel captures fair share — index 100 — on opening day is not analysis. It is an omission.

New hotels ramp; they do not open stabilized

A new hotel does not open at stabilized occupancy. It builds awareness, corporate accounts, group rotation, and online reputation over years, and the empirical record on how long is unusually good.

John W. O'Neill's Cornell study, "Hotel Occupancy: Is the Three-Year Stabilization Assumption Justified?" (Cornell Hospitality Quarterly, 2011, 52(2):176–180), analyzed the actual occupancy of 3,699 hotels that opened during the previous economic cycle. It found support for a three-year build-up: the average U.S. hotel stabilized in about 3.08 years, with 61.9 percent stabilizing within three years, along the widely cited path of roughly 77 percent of stabilized occupancy in Year 1, about 91 percent in Year 2, and full stabilization in Year 3. Top-25 markets stabilized faster, at 3.03 years, than smaller markets at 3.36; O'Neill found hotel size and service level were not significant determinants of the period. A parallel Cornell event study of new entrants found they took seven quarters, about 1.75 years, to ramp occupancy, reaching comparable RevPAR by the second quarter of the second year, with branded and managed hotels ramping faster than independents.

STR's own data tells the same story with sharper edges. At the 2019 Hotel Data Conference, STR senior consultant Emmy Hise — as reported by CoStar and Hotel News Now — showed that occupancy for new-construction properties "starts out slow, hitting 58% occupancy in month one," but reaches a 100 percent RevPAR index at month 17 on average. That average, however, hides enormous dispersion: most new-construction hotels in New York City do not reach a 100 percent RevPAR index until month 35, while in Miami the index reaches 100 by month seven. Independents converting to a brand, Hise noted, started at a 68 index and climbed to 99 by month 33. Ramp is market- and asset-specific, and it cannot be read off a comp set's current occupancy.

The failure mode is direct. If a lender takes the comp set's current 70 percent occupancy from a STAR report as the new hotel's Year 1 occupancy, it overstates Year 1 room revenue by roughly the ramp gap — a first-year hotel might realistically run 55 to 60 percent against that 70 percent stabilized figure. Overstated revenue inflates NOI, inflates DSCR, and hides the interest-carry burden during lease-up, which is exactly the window in which new hotels default. The distinction is live and contested elsewhere too: USCIS has repeatedly challenged the opposite error — using ramp-phase rather than stabilized revenue — in EB-5 job-creation models, which only underscores that stabilized versus ramp is a real, adjudicated line, not a modeling nicety.

Projecting occupancy and ADR defensibly

Occupancy in a feasibility study is an output of the demand-supply balance, not an assumption lifted from a benchmark. Total projected segmented room-night demand, latent demand included, is allocated across existing and proposed supply using competitive and penetration assumptions by segment, then divided by the subject's available rooms. New pipeline supply dilutes the result; the STR Pipeline report is an input to that judgment, but the analyst still has to decide whether the market's demand growth and latent demand can absorb the new rooms, and over what horizon.

ADR is projected by positioning the subject against the competitive set — a rate-index assumption — built up segment by segment and grown with inflation. The interplay is where yield is won or lost: chasing occupancy at a low ADR can depress RevPAR against holding rate at slightly lower occupancy, the same ARI-versus-MPI trade-off a STAR report shows in the rear-view mirror, now projected forward rather than observed backward.

Why a hotel is special-purpose collateral

A hotel is a single-use asset whose value is inseparable from a going concern. The real estate and the business are one, and the revenue is a daily re-priced one-night lease rather than contractual rent. The Appraisal Institute defines a special-purpose, or special-design, property as "a limited market property with a unique physical design, special construction materials, or a layout that restricts its utility to the use for which it was built." Hotels are valued on a going-concern basis, and the business enterprise value — the flag, the reservation system, the assembled workforce — must be separated from the real estate, a contested area (the Rushmore Approach versus business-enterprise approaches) with direct property-tax and lending consequences. All of this is why a benchmark of room-level performance, however clean, cannot stand in for a valuation-grade analysis.

What the SBA actually requires

For SBA-financed hotels the governing document is SOP 50 10 8, effective June 1, 2025. It defines a special purpose property as "a limited market property with a unique physical design, special construction materials, or a layout that restricts its utility to the specific use for which it was built," and hotels and motels appear on its special-purpose list. For such properties the lender must obtain an independent going-concern appraisal by a Certified General Real Property Appraiser who "must have completed no less than four going concern appraisals of equivalent special use property as the property being appraised, within the last 36 months," and the appraisal "must allocate separate values to the individual components of the transaction including land, building, equipment and intangible assets." Restricted Appraisal Reports are not accepted for real-property appraisals over $250,000.

Special-purpose treatment also raises the equity requirement. On a 504 loan the borrower equity injection rises to 15 percent, against the standard 10, and to 20 percent where the borrower is also a start-up; SBA 7(a) start-ups and complete changes of ownership carry a minimum 10 percent injection under SOP 50 10 8.

The coverage the market demands

Hotel lenders demand higher coverage than they do for stabilized asset classes, because hotel revenue re-prices every day. Reported hotel DSCR minimums cluster around 1.35x to 1.50x — roughly 1.40x for flagged hotels, and often 1.50x or higher for unflagged or independent ones — well above the 1.25x common in multifamily. CMBS conduits enforce debt-yield floors of roughly 9 to 11 percent by flag and service level, and they stress-test with ADR haircuts of 5 to 10 percent, occupancy caps of 75 to 80 percent even where actuals run higher, and NOI stress of 10 to 20 percent in either direction. For new-build and transitional hotels there is no trailing twelve months to lean on, so lenders underwrite to a projected stabilized DSCR, require the feasibility or market study, and apply a ramp haircut on top.

The reason the stress-testing is aggressive is written in the delinquency data. Trepp reported CMBS lodging delinquency surging 137 basis points month over month to 7.31 percent in March 2026, above 7 percent for the first time since an April 2025 peak of 7.85 percent. A ramp curve modeled off a benchmark rather than a demand study is the kind of assumption that feeds that number.

Franchise economics belong in the same analysis. A new-build study has to address brand approval and franchise costs; an acquisition or conversion triggers a Property Improvement Plan, the brand-mandated renovation whose per-room cost the feasibility study must fold into total project cost and DSCR. The brands — Marriott, Hilton, IHG, Wyndham, Choice, Best Western — run their own market feasibility evaluation before granting a franchise, separate from the lender's study, which is one more reason a benchmark alone will not carry a hotel deal.

What the benchmark can, and cannot, tell you

Set side by side, the boundary is clean.

Around that boundary cluster the recurring failure modes of hotel underwriting: treating the comp set's current occupancy as the new hotel's day-one occupancy; assuming a penetration index of 100 at opening; ignoring the pipeline and the dilution new supply brings; running no demand-generator analysis; running no demand segmentation; drawing no ramp-up curve; and reading a RevPAR index without understanding the fair-share and rooms-share mechanics underneath it. Each is a way of mistaking a benchmark for an analysis.

Sponsors reach for STR reports anyway, and the reasons are understandable: they are comparatively cheap, they are fast, and they carry a trusted brand name. Those qualities make them excellent inputs. They do not make them a lender-grade feasibility decision.

What this means for the underwrite

For a sponsor, the staging is straightforward. Before a land close, commission at least a market study that runs the build-up demand analysis and a demand-generator inventory, and do not treat a STAR report's occupancy as a proxy for Year 1. Before financing, upgrade to a full feasibility study with segmented penetration, a market-specific ramp curve, and a USALI ten-year projection that resolves to DSCR under base and downside cases — benchmarking the ramp against the evidence, with roughly Year 1 at 77 percent, Year 2 at 91 percent, and Year 3 at 100 percent of stabilized occupancy as a starting prior, adjusted faster in top-25 metros and near strong generators and slower for independents, large full-service hotels, and supply-heavy submarkets. If the deal is an acquisition or conversion, price the Property Improvement Plan scope into project cost and DSCR early.

For a lender, the rule reduces to one line: treat the STR report as an input, never as the deliverable. Require a segmented, build-up demand analysis; an explicit treatment of latent — unaccommodated plus induced — demand; a market-specific ramp curve rather than a day-one-stabilized assumption; and a USALI projection with a stated break-even occupancy and a stressed DSCR. Certain thresholds should change the decision: a projected stabilized DSCR below about 1.35x to 1.40x for a flagged hotel, or a CMBS debt yield below 9 to 11 percent, argues for a resize or added equity; a Year 1 stressed DSCR — modeled with a realistic ramp and the interest carry — below about 1.0x on a global basis argues for an interest reserve sized to the lease-up gap; and a pipeline adding supply faster than demand plus latent demand can absorb argues for a longer ramp and a lower underwritten occupancy. Projections built now should be built to USALI's 12th Revised Edition, mandatory as of January 1, 2026, with its new Energy, Water, and Waste department, its FTE schedule, and its all-inclusive reporting.

A benchmark tells a lender how the hotels already in a market have divided the demand already there. A feasibility study tells the lender whether the market can support one more. Only one of those answers the question a construction loan is actually asking.