Worked Example: SBA 504 Hotel Feasibility Study in Washington
A worked example of the feasibility study a lender would read for a hotel project in Washington, financed with an SBA 504 loan.
What SBA's own loan files show about lending in the Wenatchee-East Wenatchee, WA Metro Area, every asset class together, and what a feasibility study for a project there has to test.
Wenatchee-East Wenatchee records 227 loans and $158.7 million from FY2017 to FY2026 and ranks 291 of 928. Hotel and motel has the most loans of any tracked class, 23, and beverage manufacturing, covering breweries, wineries and distilleries, comes second with 12. Full-service restaurant and limited-service restaurant have 7 each and self storage 5. Another 151 loans fall in no tracked class. Chelan County, WA holds 165 loans and Douglas County, WA 62.
The measured floor is the feature: cancellation reached 13.8% of approvals dated through FY2024, at the least. SBA publishes no ceiling for this and no charge-off rate either; our page invents neither and reads neither as zero. A lender looking at this area will see a high floor for cancellation and no published figure about losses afterward. Douglas County's 62 loans sit beside Chelan County's 165, so a study should state which county the site lies in and use that county's record.
Median borrowing is $200,000, 0.96x the national level, with loans in the middle band running from $50,000 to $674,350. Franchise brands appear in 10.6% of loans, and the record leans on lodging and drink production. Of the total, 204 are 7(a) and 23 are 504, and Evergreen Business Capital holds 12 of the 504 loans worth $16.0 million.
The names below are as SBA lists the institution holding each loan, and they say nothing about a lender's choices. Washington Trust Bank holds 25 7(a) loans worth $5.3 million, Banner Bank 19 worth $1.8 million, Wells Fargo Bank National Association 17 worth $3.1 million, Peoples Bank (WA) 15 worth $9.3 million and Numerica CU 14 worth $3.7 million. Peoples Bank (WA) averages the largest loans among them. Approvals ran from 14 loans in FY2020 to 38 loans and $24.7 million in FY2025.
A study should separate seasonal and visitor demand from resident demand, particularly for lodging, and should test whether a new use competes with the lodging and beverage supply already financed. Since a good share of approvals here lapse, the work must also make plain that the loan can realistically close. Coverage, cost and an appraisal that supports value follow. The 2023 delineation assigns the two counties. This page gives context to lenders and borrowers and promises nothing.
| Loans approved, FY2017 to FY2026 | 227 |
|---|---|
| Gross dollars approved | $158.7 million |
| Median loan | $200,000 |
| Middle half of loans, from | $50,000 |
| Middle half of loans, to | $674,350 |
| SBA 7(a) loans | 204 |
| SBA 504 loans | 23 |
| Franchise share of loans | 10.6% |
| Rank among metro and micro areas by loans | 291 of 928 |
| Median loan against the national median | 0.96x |
| Cancelled after approval, FY2017 to FY2024 approvals (a floor) | 13.8% |
|---|---|
| The same, counting loans still undisbursed as cancelled (a ceiling) | withheld |
| Charged off to date, FY2017 to FY2021 disbursed loans (a floor) | withheld |
Both rates are floors. SBA withholds the status of open loans, so a loan counts as charged off only once SBA reports it; a rate needs at least 30 loans in its cohort and is otherwise not reported.
SBA loans approved in the Wenatchee-East Wenatchee, WA Metro Area, by fiscal year
| Fiscal year | Loans | Dollars |
|---|---|---|
| FY2017 | 22 | $15.3 million |
| FY2018 | 26 | $12.9 million |
| FY2019 | 22 | $11.8 million |
| FY2020 | 14 | $11.1 million |
| FY2021 | 28 | $30.5 million |
| FY2022 | 16 | $12.0 million |
| FY2023 | 18 | $9.9 million |
| FY2024 | 21 | $12.2 million |
| FY2025 | 38 | $24.7 million |
| FY2026 | 22 | $18.3 million |
| Asset class | Loans |
|---|---|
| Not in any of the 39 asset classes | 151 |
| Hotel and motel | 23 |
| Beverage manufacturing (breweries, wineries, distilleries) | 12 |
| Full-service restaurant | 7 |
| Limited-service restaurant | 7 |
| Self storage | 5 |
Classes with 5 or more loans; smaller ones are withheld, and more where a small one could be derived.
| Lender | Loans | Dollars |
|---|---|---|
| Evergreen Business Capital | 12 | $16.0 million |
| Lender | Loans | Dollars |
|---|---|---|
| Washington Trust Bank | 25 | $5.3 million |
| Banner Bank | 19 | $1.8 million |
| Wells Fargo Bank National Association | 17 | $3.1 million |
| Peoples Bank (WA) | 15 | $9.3 million |
| Numerica CU | 14 | $3.7 million |
Lenders with 5 or more loans here; a lender with fewer is not listed, and loans SBA or a receiver holds are counted but never listed as a lender.
| County | Loans |
|---|---|
| Chelan County, WA | 165 |
| Douglas County, WA | 62 |
Counties with 5 or more loans; smaller ones are not listed.
Metro is the CBSA (metropolitan or micropolitan statistical area) of the loan's project county, July 2023 delineation (OMB Bulletin 23-01). The county is matched by name (manifests/ld2/county-cbsa-map.csv); a loan whose county cannot be placed in a 2023 CBSA is left out of every metro.
All assets: every 7(a) and 504 approval in the metro, including those outside the 39 asset classes.
A value marked withheld rests on fewer than 5 loans, or is withheld so that such a figure cannot be derived from other published figures.
Source: U.S. Small Business Administration, 7(a) and 504 loan-level FOIA files (data.sba.gov), as of 2026-09-30; areas from the U.S. Census Bureau CBSA delineation, July 2023 (OMB Bulletin 23-01); Loan Analytics metro cell MT-48300.
A worked example of the feasibility study a lender would read for a hotel project in Washington, financed with an SBA 504 loan.
Loan Analytics prepares the feasibility study a lender reads before it commits: for a commercial project in the Wenatchee-East Wenatchee, WA Metro Area, financed under SBA 7(a), SBA 504, USDA Business and Industry or a conventional bank loan. Tell us the project and the lender's deadline, and we reply with scope, timeline and fee.
Start with the data.
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