Independent Feasibility Study Consultant for SBA and USDA Loans

Every Loan Analytics feasibility study is written and signed by Daniel Smith, MAI, as an independent third party with no interest in the borrower, the loan or the project.

For the lender it covers what the credit file needs: the market and the site, the competition, the projections and the debt service coverage behind the request, written to the rules of the program financing it, SBA 7(a), SBA 504, USDA Business and Industry or a conventional bank loan.

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Loan Analytics prepares independent feasibility studies for SBA 7(a), SBA 504, USDA Business and Industry, REAP and Community Facilities loans, and publishes the state-level lending, demographic and commercial real estate data those studies are underwritten from. Lenders, CDCs and sponsors engage us when a credit file needs a third-party report that reviewers can trace line by line to a public source.

Glass office towers seen from below against a pale sky

Feasibility study consultant

Loan Analytics is a feasibility study company for lenders who need the market case behind an SBA or USDA loan tested against the SBA's own loan record before it reaches committee. That record, FY2017 to FY2026, is the base of every study we write. In the asset classes we track it holds 23,668 SBA loans in California, 16,068 in Texas and 11,725 in Florida; $21.54 billion of 7(a) lending to hotels and motels on 8,942 loans; $9.34 billion to gas stations and truck stops on 6,403; and 28,716 7(a) loans to full-service restaurants, the largest count of any class. A study from us starts by placing the project in that record: how many loans the program has made to this kind of business in this state and this metro, at what size, under which program, and how many were cancelled before funding or charged off after it.

Those last two rates are where a lender's reviewer looks first, and they vary widely from state to state. The cancellation floor is 15.5% in New Jersey and 8.1% in Maine. The charge-off floor is 9.2% in Hawaii, 6.7% in New York and 6.4% in Texas, against 4.4% in California and 1.8% in Nebraska. The loan size a market is used to varies as much: the median SBA loan is $350,000 in the Los Angeles-Long Beach-Anaheim metro, $150,000 across New York-Newark-Jersey City, and just $50,000 in Urban Honolulu. A feasibility study consultant who works from those numbers writes the stress case the local record calls for and sizes the demand argument to the loans local lenders actually make.

For the lender, the study covers market demand measured against the class and metro record; the cost basis and the loan it supports; cash flow against debt service under the stresses the state's floors justify; the sponsor's ramp and operating assumptions; and the fit with the program on the term sheet, 7(a) or 504 at the SBA, or the study 7 CFR Part 5001eCFR calls for on a USDA B&I start-up. Every study is written by Loan Analytics and signed by Daniel Smith, MAI. Use the scope form below: name the state, the metro and the asset class, and the scope we return is built on the rows of these tables that match your project.

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What a Feasibility Study Company Does on a Guaranteed Loan

A feasibility study company produces the independent report that stands between a sponsor's projections and a lender's credit decision. On an SBA or USDA loan the report has a defined job: establish that the market can absorb the project, that the cost basis is supportable, that projected cash flow covers debt service with a margin the program accepts, and that the sponsor's assumptions survive stress. The study is commissioned by the lender or the sponsor, addressed to the lender, and relied upon by the reviewer who signs the guarantee.

Loan Analytics does this work across the full SBA and USDA program set. The difference between our studies and most others is where the numbers come from. We maintain the state and county lending tables, the demographic series and the market metrics that a study cites, so the demand section of a Loan Analytics report is written from a dataset we already publish, not assembled from a broker flyer the week the engagement starts. Reviewers can check our figures against our own published pages.

Three questions decide whether a feasibility study company is the right one for a file:

  • Independence. The firm has no financial interest in the project, the sponsor or the lender, and states so in the report.
  • Program literacy. The study is written to the rule the reviewer applies: SOP 50 10 8SBA for SBA, 7 CFR 5001eCFR for USDA guaranteed programs, and the specific agency guidance for Community Facilities and REAP.
  • Traceable evidence. Every demand, cost and revenue figure carries a public, dated source that a credit committee can open.

Two Programs, Two Rulebooks

SBA Feasibility Study Consultant

The SBA approved a record $45.09 billion in fiscal 2025, and its lending manual never requires a feasibility study for any of it. SOP 50 10 8.1SBA, effective 1 October 2026, does not change that. What it changes is where projection risk is allowed to live: acquisitions must now clear 1.25x coverage on historical earnings, so a deal that only works on a projection is no longer an acquisition file. It is a start-up, construction or expansion file, and those are the files lenders order studies on. Loan Analytics writes 7(a) and 504 studies to the SOP in force on the loan-number date, sized to the loan and formatted for the credit memo.

USDA Feasibility Study Consultant

USDA is the stricter program. 7 CFR 5001eCFR requires an independent feasibility study from a qualified consultant for start-up businesses under Business and Industry and for any project where the Agency or the lender determines one is needed, and the reviewer expects the study to cover economic, market, technical, financial and management feasibility in that order. Loan Analytics prepares B&I, REAP and Community Facilities studies with the sensitivity analysis and rural-market demand work that USDA reviewers send files back for when it is missing.

Feasibility Study Consultant or Feasibility Study Company

Lenders search for both, and the distinction matters to the file. A feasibility study consultant is an individual who signs the report and stands behind it under the independence rules of the program. A feasibility study company is the firm that houses the consultant, the analysts, the data and the quality control. On a Loan Analytics engagement the lender gets both: a named signatory with the credentials the reviewer expects, and a firm with a published data spine behind every figure in the report.

Who signs matters because the SBA and USDA both attach the independence requirement to the person and the firm, and because a study signed by someone who cannot answer a reviewer's follow-up question is a study that stalls in committee. Every Loan Analytics study is signed by Daniel Smith, MAI, who is available to the lender and the agency reviewer for questions after delivery.

Loan Analytics.

Federal lending records, county demographics, and CRE market metrics, organized the way credit decisions are made.

sba usda feasibility study

Loan Analytics turns public data into the evidence behind every feasibility study we sign. We aggregate SBA 7(a) and 504 loan records, USDA Rural Development obligations, Census Bureau demographics, and commercial real estate fundamentals into state-level datasets that lenders, sponsors, and analysts can read in minutes and rely on in committee.

Why the Data Behind the Study Decides the Review

SBA and USDA loan programs run on evidence. Underwriters, CDCs and agency reviewers expect every demand claim to trace back to a verifiable source, and the most common reason a feasibility study is sent back is that it cannot. A study written from a published dataset:

  • Surfaces market risk before it surfaces in credit committee.
  • Quantifies demand with public, dated, citable sources rather than sponsor assertions.
  • Shortens the review cycle, because figures that carry their own citations invite fewer questions.
  • Survives the reviewer's spot check, because the reviewer can open the same table the analyst used.

How the Dataset Is Built

  1. Source: loan-level SBA FOIA releases, USDA obligation files, Census and BLS series, and brokerage-published market reports.
  2. Standardize: records are cleaned, deduplicated, and mapped from zip code to county and metro.
  3. Aggregate: approval counts, dollar volume, average loan size, program mix, and industry concentration by state and county.
  4. Contextualize: lending figures are paired with demographics, CRE fundamentals, and construction cost indices.
  5. Refresh: tables are updated on the federal fiscal-year cycle, so the data matches the vintage lenders underwrite against.

What the Coverage Includes:

  • Lending programs: SBA 7(a), SBA 504, USDA B&I, REAP, and Community Facilities.
  • Market layers: population and migration, household income, vacancy, absorption, rents, pipeline, and construction costs.
  • Geography: state-level pages with county detail, expanding market by market.

The same data spine underpins independent feasibility studies for projects that need a full lender-grade report.

Need More Than the Data?

When a project requires a complete, agency-conforming feasibility study rather than the underlying data, Loan Analytics prepares independent reports built on the same dataset. Start with the numbers, and engage us when the file needs the full narrative. Contact us for scope and timeline.

SBA & USDA Feasibility Studies

Bankable analytics for lenders, investors, and sponsors

Every study we produce is engineered to withstand the scrutiny of credit committees, CDCs, the SBA Sacramento Center and USDA Rural Development reviewers, delivered on time, audit-ready and formatted for direct insertion into loan memos. Across both programs we quantify market demand, competitive positioning, revenue ramps, cost structures, job creation and collateral adequacy, and we test every conclusion under stress before it reaches a lender.

Asset Classes We Study

Owner-occupied real estate, hospitality and outdoor hospitality, food and beverage, automotive and convenience, franchised and personal services, senior and health care, self-storage and specialty industrial, rural manufacturing and value-added agriculture, renewable energy, cold-chain and logistics, community facilities and broadband. The asset classes where SBA and USDA lending concentrates are the ones our dataset tracks in the most depth, and the ones our published analyses cover:

Solar Panels on Factory Building

How to Choose a Feasibility Study Company for an SBA or USDA File

  • Ask which regulation the study is written to, and expect a specific answer: SOP 50 10 8SBA, and SOP 50 10 8.1 from 1 October 2026, for SBA; 7 CFR 5001eCFR for USDA guaranteed programs.
  • Ask who signs, and whether that person will take the reviewer's call after delivery.
  • Ask where the demand figures come from, and whether you can open the source yourself.
  • Ask for the sensitivity analysis before you ask for the base case. USDA reviewers do.
  • Ask for the fee as a fixed number by asset class, and compare it to the loan in basis points, not in dollars.
  • Ask whether the firm has a financial interest in the project, the sponsor, the lender or the site. The correct answer is no, in writing.

Resources

Market research, program analysis, and lending data briefs from the Loan Analytics desk.

USDA Business & Industry Loans by State: A Ranked Index, and Why the Obvious Number Is the Wrong One

Texas takes more than a tenth of USDA’s Business & Industry loan guarantees, and ten states take half — but the federal spending database most analysts would reach for ranks states on the wrong number entirely. This article builds a reconciled, three-year ranking from USDA’s own budget tables, exposes a subsidy-cost trap in USAspending.gov that distorts state comparisons, and shows how normalizing for rural population flips the story about which states are actually best serve

Nov 4, 2026 · 14 min read

What Do Lenders Recover on a Charged-Off Gas Station, Car Wash or Hotel? Nobody Publishes the Answer

Loan officers can describe exactly what goes wrong when a gas station, car wash or hotel loan defaults — tank testing, environmental reports, fuel contracts that won’t transfer. But ask how many cents on the dollar lenders actually recover, and the certainty disappears. This piece lays out what SBA’s own data do and don’t show, what outside benchmarks from CMBS and failed banks suggest, and why no one — not SBA, not lenders, not analysts — can currently cite a real recovery r

Nov 4, 2026 · 15 min read

Feasibility Study Company FAQ

What is a feasibility study company?

A firm that prepares independent, third-party feasibility studies for lenders and sponsors. On SBA and USDA loans the study establishes market demand, cost basis, projected cash flow and debt coverage, and is relied upon by the credit committee and the agency reviewer.

Does the SBA require a feasibility study?

No program-wide requirement exists in SOP 50 10 8SBA. The SOP permits the lender to require one, and lenders do so on start-ups, special-purpose properties and files where repayment depends on unproven demand.

What does SOP 50 10 8.1 change for feasibility studies?

Nothing in the trigger and everything in the routing. Effective 1 October 2026 by loan-number date, 8.1 requires acquisitions to show 1.25x coverage on historical earnings and bars projections from the coverage test. Deals that depended on a projection now reach lenders as start-up, construction or expansion files, which are the files where an independent feasibility study is expected.

Does USDA require a feasibility study?

7 CFR 5001eCFR requires an independent feasibility study by a qualified consultant for start-up businesses under Business and Industry, and for any project where the Agency or the lender determines one is needed. Community Facilities and REAP carry their own study expectations.

Who prepares a Loan Analytics feasibility study?

Analysts working from our published lending, demographic and market datasets, with every study signed by Daniel Smith, MAI, who is independent of the project and available to the lender and reviewer for questions.

Is Loan Analytics a feasibility study consultant or a company?

Both. The named signatory is the consultant the program's independence rules attach to; the firm supplies the analysts, data and quality control behind the report.

How much does a feasibility study cost?

Fees are quoted as a fixed number by asset class and program. The useful comparison is the fee as basis points of the loan: a $9,000 study is 180 basis points of a $500,000 loan and 26 basis points of a $3.5 million one.

Is this the same as the lending data on this site?

No. The data pages are the public layer. A feasibility study is the engagement that turns that data into an agency-conforming report for a specific project, lender and loan.

Feasibility study data by state

Every state ranked by SBA loans in the asset classes Loan Analytics tracks, FY2017 to FY2026; each links to its state page.

Volume, and where count and dollars part

California heads the table with 23,668 loans and $21.22 billion, Texas follows with 16,068 loans and $16.80 billion, and Florida with 11,725 loans and $10.17 billion. Below Florida the count order and the dollar order stop agreeing. New York's 9,829 loans carry $5.24 billion, less than Georgia's $7.98 billion on 7,128 loans and barely more than Washington's $5.11 billion on 5,717. Ohio's 7,638 loans carry $4.01 billion, less than Illinois at $4.91 billion on 6,489. For a feasibility study, the state's place in this table decides how much of the comparable record can come from the project's own state. In California, Texas and Florida the class and metro cells are deep enough that a projection can be tested against loans made nearby in the same property type. At the foot of the table, Alaska with 340 loans and Wyoming with 296, the state record is a short list, and the demand case has to rest on the trade area's own evidence, with the state numbers reported as context rather than offered as proof.

Loan size: the same count, a different book

States with almost the same number of loans can hold very different books. New Hampshire made 1,503 loans for $541.1 million; Alabama made 1,502 for $1.36 billion. Massachusetts made 4,909 for $2.08 billion, while North Carolina made fewer, 4,418, for $4.34 billion. The small-ticket states sit mostly in New England, with Hawaii the distant exception: Vermont's 523 loans total $184.5 million, Maine's 1,111 total $451.4 million, Rhode Island's 890 total $377.0 million and Hawaii's 477 total $153.7 million. The large-ticket states run across the South and Southwest: South Carolina with $2.15 billion on 2,126 loans, Tennessee with $1.79 billion on 1,982, New Mexico with $759.9 million on 846. A lender weighs a project against the loans it already makes. A full-service hotel or a multi-tunnel car wash in a small-ticket state is the file where the SBA may ask for a study on its own account: its procedure, which our 2026 fee survey quotes, names a project size disproportionate to the community it will serve as one such reason. There the study's first job is to prove demand at that scale. In a large-ticket state the same project is ordinary, and the work moves to the competitive set.

Cancellation floors: approvals that never funded

The cancellation column counts approvals in the tracked classes that were cancelled instead of funded. New Jersey prints the highest floor in the table, 15.5%, followed by New York at 14.7%, Florida and Maryland at 14.2%, Rhode Island at 13.9%, and Connecticut and Oregon at 13.7%. Every one of them but Oregon lies on the Atlantic coast. The low end mixes regions: Maine at 8.1%, Mississippi at 8.5%, North Dakota at 8.9%, Vermont at 9.1% and Utah at 9.3%. No reason for a cancellation is carried in the cells, and a study does not pretend to supply one. What it can do is check, before funding, the parts of the deal a lender can verify: a construction budget priced at the date of the study, a site the sponsor controls and can permit, equity shown in the file rather than promised, and a ramp that still covers debt service if the opening slips. In New Jersey, with the highest floor on the page, a lender has more reason than most to want that work in the file before the loan is approved.

Charge-off floors: losses after funding

Charge-offs are losses after a loan has funded, and the ranking changes. Hawaii prints 9.2%, the highest in the table, on 477 loans worth $153.7 million, the smallest dollar total of any state; New York prints 6.7%, Texas 6.4%, South Carolina 6.1% and Virginia 5.8%. At the other end Nebraska prints 1.8%, New Hampshire 1.9%, and Alaska, New Mexico and North Dakota 2.1%, while Washington, at 2.5% on 5,717 loans, holds the lowest floor of any state with a book that size or larger. A band of interior and northern states holds many of the other low floors: Idaho at 2.4%, Utah at 2.6%, Minnesota and Wisconsin at 2.8%, Montana at 3.1%. Wyoming prints 0.00% on 296 loans, a floor on the smallest cohort in the table and the weakest evidence in the column. Texas is the case a lender will raise with any sponsor there: behind only California in loans and dollars, its charge-off floor of 6.4% sits well above California's 4.4% and Florida's 5.3%. A Texas study needs a downside case sized to the Texas record. Georgia shows the reverse: large loans, $7.98 billion on 7,128, and a floor of 3.4%, so the same projection meets a different loss history in Georgia than in Texas, and the study's stress case should show the difference.

Two floors, two different questions

The two columns do not move together, which is why a study answers them separately. Texas has a cancellation floor of 11.6%, lower than California's 12.6%, with a charge-off floor of 6.4%. Hawaii cancels at 10.4% and charges off at 9.2%. New Jersey is the mirror image, 15.5% cancelled and 5.2% charged off, and Maine and Mississippi sit low on both, at 8.1% and 2.2%, and 8.5% and 2.3%. Kansas and Kentucky make the point with almost identical books: 1,408 loans and $921.8 million against 1,392 loans and $921.6 million, cancellation floors of 10.7% and 11.0%, charge-off floors of 4.4% and 3.1%. Washington and Colorado share a cancellation floor of 10.8% and part at charge-off, 2.5% against 3.9%. Cancellation risk is about whether a project reaches funding: budget, site, permits, equity. Charge-off risk is about whether it earns its debt service once open: demand, pricing, competition and the ramp. A lender in Hawaii or Texas will read the cash flow chapter of a study hardest; a lender in New Jersey or Maryland will read the project chapter just as closely.

Why the rates are floors

Both rates are floors, and each prints only where its cohort has at least 30 loans. The window runs through FY2026, so the approvals of the last years in the table have had little time to be cancelled or to fail, and the true rate for each state over the window is at least what the table shows. That shapes how a study uses them. A state's charge-off floor is the least loss its SBA lenders have already booked in these property types, and a projection that assumes the project will beat its state's record needs a reason in the market evidence, not in the sponsor's confidence. In the states with the shortest records, Delaware with 483 loans, Alaska with 340 and Wyoming with 296, a handful of loans can move a floor, so a study there reports the state rate with that caution and leans on the class record and the trade area for its stress case.

SBA loans in the tracked asset classes by state, FY2017 to FY2026
StateLoansDollarsCancelled (floor)Charged off (floor)
California23,668$21.22 billion12.6%4.4%
Texas16,068$16.80 billion11.6%6.4%
Florida11,725$10.17 billion14.2%5.3%
New York9,829$5.24 billion14.7%6.7%
Ohio7,638$4.01 billion11.9%4.4%
Georgia7,128$7.98 billion12.7%3.4%
Illinois6,489$4.91 billion13.5%5.2%
Michigan6,223$3.63 billion13.0%3.3%
Pennsylvania5,781$3.54 billion12.5%4.7%
Washington5,717$5.11 billion10.8%2.5%
New Jersey5,689$3.79 billion15.5%5.2%
Colorado5,131$4.37 billion10.8%3.9%
Massachusetts4,909$2.08 billion13.5%3.9%
Minnesota4,570$2.45 billion9.7%2.8%
North Carolina4,418$4.34 billion11.1%4.2%
Wisconsin3,860$2.59 billion10.9%2.8%
Arizona3,785$3.32 billion11.3%3.0%
Indiana3,547$2.52 billion11.4%3.2%
Virginia3,244$2.46 billion13.6%5.8%
Utah2,972$2.34 billion9.3%2.6%
Missouri2,886$1.96 billion12.5%5.3%
Maryland2,834$1.67 billion14.2%5.0%
Oregon2,398$1.78 billion13.7%2.9%
Connecticut2,258$1.18 billion13.7%5.2%
South Carolina2,126$2.15 billion12.2%6.1%
Tennessee1,982$1.79 billion12.7%4.9%
Nevada1,832$1.46 billion13.5%5.0%
Idaho1,660$1.08 billion11.2%2.4%
Oklahoma1,638$1.15 billion12.7%4.5%
New Hampshire1,503$541.1 million11.8%1.9%
Alabama1,502$1.36 billion12.8%4.2%
Kansas1,408$921.8 million10.7%4.4%
Kentucky1,392$921.6 million11.0%3.1%
Louisiana1,355$1.20 billion9.5%4.1%
Iowa1,284$721.6 million10.6%5.0%
Maine1,111$451.4 million8.1%2.2%
Nebraska962$590.3 million11.6%1.8%
Arkansas942$671.0 million12.5%4.9%
Mississippi900$723.5 million8.5%2.3%
Rhode Island890$377.0 million13.9%5.0%
New Mexico846$759.9 million11.3%2.1%
Montana701$508.3 million9.5%3.1%
South Dakota637$415.2 million11.9%3.4%
Vermont523$184.5 million9.1%4.0%
West Virginia515$301.4 million11.5%4.1%
North Dakota491$307.3 million8.9%2.1%
Delaware483$234.4 million12.0%5.2%
Hawaii477$153.7 million10.4%9.2%
Alaska340$274.7 million10.8%2.1%
Wyoming296$252.6 million13.3%0.00%

Source: Loan Analytics' SBA loan record from SBA's 7(a) and 504 loan-level files, approvals FY2017 to FY2026 as of 2026-09-30; rates are floors and need at least 30 loans in their cohort; dollars are not shown where fewer than five loans would reveal a single loan. Download this table (CSV). Cite as: Loan Analytics, "SBA loans in the tracked asset classes by state, FY2017 to FY2026", https://www.analytics.loan/#states-states.

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The 100 metro areas with the most SBA loans

Metropolitan and micropolitan areas ranked by every SBA 7(a) and 504 approval in the area, all industries together, not only the asset classes Loan Analytics tracks.

A wider count than the state table

The metro table counts more than the state table above it. Each row is every SBA 7(a) and 504 approval in the metropolitan or micropolitan area from FY2017 to FY2026, the tracked asset classes and every other industry together, placed by the county of the project. That is why New York-Newark-Jersey City shows 41,697 loans while New York's row in the state table, which holds only the tracked classes, shows 9,829. Read the metro rows as the depth of SBA lending in a market and the state rows as the depth of lending in the property types a feasibility study usually covers. In a study, the metro count answers a narrower question than demand: whether SBA lenders are active enough in the market that the loan will be judged against local experience, or whether the project will be one of few the local lenders have seen.

Loans and dollars rank differently

New York-Newark-Jersey City leads by count, 41,697 loans, but Los Angeles-Long Beach-Anaheim leads by dollars, $23.49 billion against $18.19 billion on 32,584 loans, because its median loan is $350,000 against New York's $150,000. The same split runs down the table. Boston-Cambridge-Newton has 15,096 loans and $4.63 billion at a median of $100,000; Atlanta-Sandy Springs-Roswell has fewer loans, 13,525, and $10.15 billion at $350,000. Dallas-Fort Worth-Arlington, with 16,031 loans and $11.93 billion, carries more dollars than Chicago-Naperville-Elgin's $11.17 billion on 20,063 loans and Miami-Fort Lauderdale-West Palm Beach's $9.28 billion on 17,898. The median is the loan size at the midpoint of a market's SBA book. A study for a project far above the local median has to explain why a lender should underwrite outside its usual range and show the comparable projects that justify the size; in a market with a $350,000 median the same request is closer to routine.

Where medians are high and low

Medians cluster by region more tightly than counts do. California metros hold the top: Stockton-Lodi at $379,500, the highest median in the table, Santa Rosa-Petaluma at $370,500, San Jose-Sunnyvale-Santa Clara at $357,300, and Los Angeles, San Francisco-Oakland-Fremont and Fresno at $350,000. Ohio and upstate New York hold the bottom: Canton-Massillon and Youngstown-Warren at $60,000, Toledo and Rochester at $75,000, Akron at $76,700, Cleveland at $90,000, Buffalo-Cheektowaga and Syracuse at $100,000. Urban Honolulu has the lowest median of all, $50,000. These are all-industry medians, so they mix restaurants, salons and service firms with hotels and gas stations, and a study never uses them as a price for the project. It uses them to place the request in the lender's local book. A special-purpose real estate loan in Canton or Youngstown stands far above what the market's SBA lenders usually write, and the study should state that distance plainly rather than leave the reviewer to find it.

Charge-off floors by metro

Miami-Fort Lauderdale-West Palm Beach prints a charge-off floor of 13.0%, the highest in the metro table, and New York-Newark-Jersey City 10.6%; Houston-Pasadena-The Woodlands follows at 9.3% and Washington-Arlington-Alexandria at 8.9%. Florida's metros run high as a group: Cape Coral-Fort Myers at 8.7%, Orlando-Kissimmee-Sanford at 8.4%, Port St. Lucie at 8.2%, Deltona-Daytona Beach-Ormond Beach at 7.6%, Tampa-St. Petersburg-Clearwater at 6.7%. The low end is spread across smaller markets: San Juan-Bayamón-Caguas at 1.6%, St. George at 1.8%, Fargo at 2.0%, Portland-South Portland at 2.2%, Boise City and Spokane-Spokane Valley at 2.5%. Inside one state the spread can be wide. Texas runs from Houston's 9.3% and Dallas-Fort Worth's 8.1% to Austin-Round Rock-San Marcos at 7.2% and San Antonio-New Braunfels at 6.7%; Utah from Salt Lake City-Murray at 4.4% to St. George at 1.8%; California from Bakersfield-Delano at 7.5% to Fresno at 3.1%, two Central Valley markets lending at almost the same median, $345,000 and $350,000. A shared loan size says nothing about a shared loss history, so a study reads the median and the floor as two separate facts about the market. It cites the floor of the metro the project is in, because a lender in Miami carries a different loss history in mind than a lender in Fargo, even for the same kind of business.

Markets that cross state lines

Many of the largest markets straddle a border, and a study has to read both sides. New York-Newark-Jersey City spans New York and New Jersey, whose state rows print the highest cancellation floors on this page, 14.7% and 15.5%. Kansas City covers Missouri and Kansas: 4,186 loans at a median of $265,350 and a charge-off floor of 4.5%, while the two state rows print charge-off floors of 5.3% and 4.4%. Philadelphia-Camden-Wilmington reaches into Pennsylvania, New Jersey, Delaware and Maryland; Cincinnati into Ohio, Kentucky and Indiana; Memphis into Tennessee, Mississippi and Arkansas. A trade area does not stop at a state line, and neither does the competitive set a study has to verify. For a project near a border, the study draws its comparables from the metro and reports the record of each state, so the reviewer sees the lending history of the market the project actually serves. Puerto Rico appears only here: San Juan-Bayamón-Caguas, 3,435 loans at a $100,000 median, has no state row above it.

The next tier of markets

Below the largest markets sits a band of metros with similar counts and very different terms. Minneapolis-St. Paul-Bloomington has 12,697 loans and $6.03 billion at a $200,000 median, with a charge-off floor of 3.9%, lower than any metro ranked above it. Phoenix-Mesa-Chandler has 9,960 loans and $6.43 billion at $334,000 and 5.0%; Seattle-Tacoma-Bellevue 9,636 loans and $6.00 billion at $256,750 and 4.2%; Riverside-San Bernardino-Ontario 9,481 loans and $6.71 billion at $329,300 and 5.1%; Denver-Aurora-Centennial 9,400 loans and $5.86 billion at $300,000 and 5.5%. Detroit-Warren-Dearborn has more loans than Phoenix, Seattle, Riverside or Denver, 11,143, but $4.50 billion at a $140,000 median. Philadelphia-Camden-Wilmington, with 12,396 loans and $5.96 billion, prints 7.3%, and Washington-Arlington-Alexandria 8.9% on 10,588. For a sponsor, a metro in this band means lenders with deep local experience and a loss history that differs from metro to metro more than it does with size, so the study compares the project with its own metro row, never with a generic big-city figure.

SBA loans by metro area, FY2017 to FY2026
Metro or micro areaLoansDollarsMedian loanCharged off (floor)
New York-Newark-Jersey City, NY-NJ Metro Area41,697$18.19 billion$150,00010.6%
Los Angeles-Long Beach-Anaheim, CA Metro Area32,584$23.49 billion$350,0006.5%
Chicago-Naperville-Elgin, IL-IN Metro Area20,063$11.17 billion$240,0006.2%
Miami-Fort Lauderdale-West Palm Beach, FL Metro Area17,898$9.28 billion$177,00013.0%
Dallas-Fort Worth-Arlington, TX Metro Area16,031$11.93 billion$350,0008.1%
Boston-Cambridge-Newton, MA-NH Metro Area15,096$4.63 billion$100,0005.6%
Atlanta-Sandy Springs-Roswell, GA Metro Area13,525$10.15 billion$350,0006.3%
Houston-Pasadena-The Woodlands, TX Metro Area12,976$9.73 billion$310,6009.3%
Minneapolis-St. Paul-Bloomington, MN-WI Metro Area12,697$6.03 billion$200,0003.9%
Philadelphia-Camden-Wilmington, PA-NJ-DE-MD Metro Area12,396$5.96 billion$150,0007.3%
Detroit-Warren-Dearborn, MI Metro Area11,143$4.50 billion$140,0005.1%
Washington-Arlington-Alexandria, DC-VA-MD-WV Metro Area10,588$4.90 billion$154,7508.9%
Phoenix-Mesa-Chandler, AZ Metro Area9,960$6.43 billion$334,0005.0%
Seattle-Tacoma-Bellevue, WA Metro Area9,636$6.00 billion$256,7504.2%
Riverside-San Bernardino-Ontario, CA Metro Area9,481$6.71 billion$329,3005.1%
Denver-Aurora-Centennial, CO Metro Area9,400$5.86 billion$300,0005.5%
San Francisco-Oakland-Fremont, CA Metro Area8,553$5.77 billion$350,0005.6%
Cleveland, OH Metro Area7,871$2.33 billion$90,0004.7%
San Diego-Chula Vista-Carlsbad, CA Metro Area7,745$4.56 billion$255,7005.9%
Columbus, OH Metro Area7,338$2.58 billion$101,8504.9%
Tampa-St. Petersburg-Clearwater, FL Metro Area7,094$4.30 billion$310,0006.7%
Indianapolis-Carmel-Greenwood, IN Metro Area6,094$2.77 billion$150,0005.3%
Portland-Vancouver-Hillsboro, OR-WA Metro Area6,061$3.43 billion$207,6004.3%
Cincinnati, OH-KY-IN Metro Area5,781$2.45 billion$150,0003.5%
Orlando-Kissimmee-Sanford, FL Metro Area5,673$3.48 billion$285,0008.4%
Sacramento-Roseville-Folsom, CA Metro Area5,457$3.54 billion$326,0004.2%
Austin-Round Rock-San Marcos, TX Metro Area5,302$3.59 billion$325,0007.2%
Baltimore-Columbia-Towson, MD Metro Area5,242$2.19 billion$140,0007.2%
Las Vegas-Henderson-North Las Vegas, NV Metro Area4,950$2.80 billion$250,0007.3%
Salt Lake City-Murray, UT Metro Area4,663$2.86 billion$285,0004.4%
Charlotte-Concord-Gastonia, NC-SC Metro Area4,650$3.19 billion$320,0006.3%
Pittsburgh, PA Metro Area4,621$1.91 billion$150,0003.8%
St. Louis, MO-IL Metro Area4,471$2.55 billion$250,0005.7%
Providence-Warwick, RI-MA Metro Area4,197$1.43 billion$132,0004.8%
Kansas City, MO-KS Metro Area4,186$2.30 billion$265,3504.5%
Grand Rapids-Wyoming-Kentwood, MI Metro Area3,883$1.36 billion$100,0002.9%
Milwaukee-Waukesha, WI Metro Area3,857$2.19 billion$268,0002.8%
San Antonio-New Braunfels, TX Metro Area3,515$2.23 billion$282,0006.7%
San Juan-Bayamón-Caguas, PR Metro Area3,435$702.2 million$100,0001.6%
Jacksonville, FL Metro Area3,121$2.10 billion$333,0005.8%
San Jose-Sunnyvale-Santa Clara, CA Metro Area3,106$2.35 billion$357,3003.9%
Rochester, NY Metro Area3,010$735.4 million$75,0004.7%
Boise City, ID Metro Area2,975$1.40 billion$185,0002.5%
Nashville-Davidson--Murfreesboro--Franklin, TN Metro Area2,844$1.72 billion$250,0006.5%
Provo-Orem-Lehi, UT Metro Area2,754$1.60 billion$285,5004.0%
Akron, OH Metro Area2,657$842.3 million$76,7005.3%
Raleigh-Cary, NC Metro Area2,502$1.56 billion$304,5006.5%
Buffalo-Cheektowaga, NY Metro Area2,383$683.2 million$100,0004.6%
Oklahoma City, OK Metro Area2,302$1.20 billion$230,5004.9%
Portland-South Portland, ME Metro Area2,067$662.4 million$149,8002.2%
North Port-Bradenton-Sarasota, FL Metro Area2,052$1.42 billion$350,0005.9%
Worcester, MA Metro Area2,043$712.8 million$115,0004.1%
Colorado Springs, CO Metro Area2,033$1.14 billion$250,0006.1%
Louisville/Jefferson County, KY-IN Metro Area2,010$1.04 billion$200,0005.0%
Virginia Beach-Chesapeake-Norfolk, VA-NC Metro Area1,970$1.16 billion$277,8505.6%
Oxnard-Thousand Oaks-Ventura, CA Metro Area1,894$1.20 billion$312,5004.7%
Dayton-Kettering-Beavercreek, OH Metro Area1,864$798.1 million$145,5005.7%
Omaha, NE-IA Metro Area1,811$932.3 million$225,0004.4%
Kiryas Joel-Poughkeepsie-Newburgh, NY Metro Area1,799$768.1 million$150,0007.9%
Ogden, UT Metro Area1,796$1.04 billion$280,8503.2%
Richmond, VA Metro Area1,729$897.9 million$225,0005.7%
Tulsa, OK Metro Area1,693$987.6 million$253,0004.4%
Madison, WI Metro Area1,680$930.4 million$234,0003.6%
Albany-Schenectady-Troy, NY Metro Area1,643$655.3 million$140,0006.3%
Greenville-Anderson-Greer, SC Metro Area1,598$904.3 million$244,5008.6%
Toledo, OH Metro Area1,592$542.0 million$75,0004.3%
Fresno, CA Metro Area1,586$1.19 billion$350,0003.1%
Springfield, MO Metro Area1,579$763.4 million$210,0005.3%
Cape Coral-Fort Myers, FL Metro Area1,562$1.06 billion$325,0008.7%
Manchester-Nashua, NH Metro Area1,556$474.3 million$112,7504.0%
Birmingham, AL Metro Area1,458$948.4 million$301,0006.7%
Tucson, AZ Metro Area1,432$829.0 million$277,7006.1%
Des Moines-West Des Moines, IA Metro Area1,389$675.4 million$210,0004.4%
Charleston-North Charleston, SC Metro Area1,360$876.8 million$298,0507.1%
Canton-Massillon, OH Metro Area1,348$345.4 million$60,0003.5%
Spokane-Spokane Valley, WA Metro Area1,337$647.0 million$193,0002.5%
Allentown-Bethlehem-Easton, PA-NJ Metro Area1,302$591.9 million$150,0004.0%
Albuquerque, NM Metro Area1,299$784.0 million$313,6005.4%
Reno, NV Metro Area1,250$792.6 million$300,0003.8%
Youngstown-Warren, OH Metro Area1,248$336.8 million$60,0005.0%
Urban Honolulu, HI Metro Area1,197$347.1 million$50,0007.8%
Santa Rosa-Petaluma, CA Metro Area1,182$785.1 million$370,5003.5%
Bakersfield-Delano, CA Metro Area1,178$861.0 million$345,0007.5%
Palm Bay-Melbourne-Titusville, FL Metro Area1,155$658.2 million$250,0005.7%
New Orleans-Metairie, LA Metro Area1,154$679.3 million$229,0007.3%
Memphis, TN-MS-AR Metro Area1,135$783.0 million$325,0007.0%
Barnstable Town, MA Metro Area1,134$343.1 million$100,0004.2%
Stockton-Lodi, CA Metro Area1,132$968.1 million$379,5004.2%
Syracuse, NY Metro Area1,111$433.8 million$100,0003.8%
Boulder, CO Metro Area1,103$625.2 million$280,0005.5%
Deltona-Daytona Beach-Ormond Beach, FL Metro Area1,096$698.2 million$300,0007.6%
Port St. Lucie, FL Metro Area1,080$677.3 million$260,0008.2%
Fort Collins-Loveland, CO Metro Area1,067$697.4 million$334,0005.7%
Sioux Falls, SD-MN Metro Area1,048$547.1 million$264,0004.0%
Jackson, MS Metro Area1,025$452.5 million$150,0004.4%
Fargo, ND-MN Metro Area997$445.1 million$200,0002.0%
Columbia, SC Metro Area980$651.3 million$249,3007.9%
Scranton--Wilkes-Barre, PA Metro Area965$388.1 million$150,0004.8%
St. George, UT Metro Area964$541.1 million$248,5001.8%
Baton Rouge, LA Metro Area963$580.1 million$250,0007.3%

Source: Loan Analytics' SBA loan record from SBA's 7(a) and 504 loan-level files, approvals FY2017 to FY2026 as of 2026-09-30; rates are floors and need at least 30 loans in their cohort; dollars are not shown where fewer than five loans would reveal a single loan. Download this table (CSV). Cite as: Loan Analytics, "SBA loans by metro area, FY2017 to FY2026", https://www.analytics.loan/#metros-metros.

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Asset classes with an SBA loan record

Every asset class with enough SBA loans to report, by program, each linked to its feasibility study page.

Restaurants lead in count, hotels in dollars

Full-service restaurants have the most SBA loans of any class, 28,716 under 7(a) and 3,515 under 504, and limited-service restaurants follow in 7(a) count at 19,828, then fitness centers at 11,604. Hotels and motels have the most dollars: $21.54 billion of 7(a) lending on 8,942 loans and $6.68 billion of 504 lending on 2,885, the largest dollar totals in both programs. The hotel loan is the largest typical ticket among the classes in this table, which makes the hotel study the one a lender reads with the most money riding on each decision. Our published fee bands for 2026 rank hotel construction among the complex studies for the same reason, since every competing property must be checked one at a time and the going-concern value split from the real estate. Restaurants are the opposite case, with many loans and smaller tickets, $14.04 billion of 7(a) on full-service and $8.83 billion on limited-service, so the lender's question there is less about scale than about how many similar loans it and its peers have already made nearby.

Fuel, car care and a 504 cluster

Gas stations and truck stops carry $9.34 billion of 7(a) lending on 6,403 loans, behind only hotels and full-service restaurants in 7(a) dollars. Liquor stores edge past them in count, 6,438 loans, with $4.68 billion. Automotive repair shops made more 7(a) loans than either, 9,568, for $4.11 billion, and car washes 2,713 for $3.84 billion. In 504 the order changes: car washes took 997 loans for $1.21 billion, gas stations 954 for $1.06 billion, and self storage, from outside this group, 946 for $1.22 billion. Classes with very different 7(a) records arrive at nearly the same place in 504. For a car wash or self storage study the program question is live, because a 504 file is read by a certified development company as well as the bank, and the study is written for both readers. For a gas station the 7(a) record dominates, and the study is built around the questions a 7(a) credit officer asks, with the environmental file beside it.

Where 504 carries the weight

The classes that lean hardest on 504 are built around a specialized building. Cold storage is the clearest case: 49 7(a) loans for $66.1 million and 39 504 loans for $102.3 million, the only class in the table where 504 dollars exceed 7(a) dollars. Self storage took 946 504 loans against 1,584 under 7(a); schools 315 against 603, with $439.5 million of 504 against $565.8 million of 7(a); warehouses 193 against 536; RV parks and campgrounds 281 against 645; marinas 80 against 220. Beverage manufacturing, the breweries, wineries and distilleries, sits between the poles with 642 504 loans against 3,278 under 7(a). At the other end, liquor stores took 302 504 loans against 6,438 under 7(a), coffee shops 375 against 7,958 and beauty salons 551 against 8,281, while the investor property classes took very few: multifamily 11, manufactured housing communities 13, nonresidential lessors 81 against 1,486. The program mix tells the study which structure the lender is likely to propose. A cold storage or self storage sponsor arriving with a 7(a) projection should expect the 504 question; a coffee shop arriving with a 504 structure is outside the record. The study builds its sources and uses and its debt service schedule for the program the class record points to, or explains why the project departs from it.

Health care and the licensing gate

The health care classes span a wide range of loan size. Dental offices took 7,105 7(a) loans for $6.10 billion and 1,440 504 loans for $1.10 billion; medical offices 6,346 7(a) loans for $3.68 billion and 1,477 504 loans for $1.47 billion, more 504 loans and dollars than dentistry on fewer 7(a) loans. Veterinary clinics carry $3.21 billion on 2,941 7(a) loans, while rehabilitation and therapy clinics made more loans, 3,063, for $951.7 million. In residential care, assisted living leads with 2,232 7(a) loans for $2.60 billion and 505 504 loans for $640.9 million, ahead of skilled nursing at 543 loans and $573.6 million and continuing care retirement communities at 130 and $102.6 million. Hospitals, 231 7(a) loans for $131.4 million, and dialysis centers, 28 for $31.9 million, print no 504 figure: a blank cell is an unpublished figure, and this page does not read it as zero. For assisted living, skilled nursing and behavioral health, where 1,018 7(a) loans total $674.5 million, a study has to cover the licence and the census ramp before it covers the building, which is why the fee bands posted here for 2026 class assisted living as complex work.

Thin records

Some classes rest on short records: land subdivision on 32 7(a) loans for $9.5 million, dialysis centers on 28, cold storage on 49 and 39, parking lots and garages on 118 and 22, continuing care retirement communities on 130 and 47, multifamily on 204 and 11. In those classes the SBA record proves that the program has lent to the business and not much more; it cannot carry a demand argument. A study for a project in a thin class puts its weight on the market itself: the trade area's population and income, the competing facilities counted and visited, the operating benchmarks of the property type. It uses the SBA record to show the lender that the structure has precedent. These are also the projects where the agency's own list of reasons to ask for a study, as the survey on fees reproduces it, names a 'unique market concept' and a 'highly specialized Project property', and a reviewer is most likely to reach for it.

Consumer services and the saturation question

The deepest counts belong to businesses that compete street by street: full-service restaurants at 28,716 7(a) loans, limited-service at 19,828, fitness centers at 11,604, beauty salons at 8,281, child care centers at 8,128 and coffee shops at 7,958. Their 7(a) dollars run from $14.04 billion for full-service restaurants down to $1.67 billion for beauty salons, the smallest tickets in the group. Child care stands apart: $6.75 billion of 7(a), and 1,959 504 loans for $2.02 billion, behind only hotels and full-service restaurants in both 504 columns. Because the 504 debenture finances land, building and equipment, in the fee survey's own description, that record points to child care sponsors who own their buildings more often than the others in this list. Grocery stores, with 3,701 7(a) loans for $2.75 billion, match coffee shops' $2.74 billion on far fewer loans. In these classes the first circumstance in the agency's list, market saturation by industry type and location, is the question a lender is most likely to put, and the answer has to be local: the competing operators in the trade area, their capacity and prices, and the share of local demand the project must capture to cover its debt.

Specialty medical and technical classes

Four classes in the table have not come up above, and their records are short enough to overlook. Urgent care and ambulatory surgery, diagnostic imaging centers and life science labs made almost the same number of 7(a) loans, 273, 298 and 292, on very different dollars: $311.4 million, $234.4 million and $143.4 million. Urgent care and surgery centers borrowed the most of the three on the fewest loans, which fits a center that opens with its clinical build-out and equipment already in place. The labs took the most 504 dollars of the four, $72.3 million on 48 loans beside $143.4 million of 7(a), against $54.5 million on 37 for urgent care and $30.7 million on 29 for imaging; a lab is built around a specialized building, and the 504 record follows the building. Data centers made far more 7(a) loans than any of the three, 911, for $476.9 million, fewer dollars per loan than urgent care or imaging, and they took only 50 504 loans for $41.6 million. That is a record of modest loans, and a study for a large purpose-built facility finds few comparables of its size in it. In all four classes the national record is short enough that it shows the program lends to the business and little more, so the study builds its demand case from the project's own market: the referral sources or tenants it expects, the competing facilities nearby, and the equipment the loan pays for.

SBA loans by asset class and program, FY2017 to FY2026
Asset classSBA 7(a) loansSBA 7(a) dollarsSBA 504 loansSBA 504 dollars
Gas station and truck stop6,403$9.34 billion954$1.06 billion
Car wash2,713$3.84 billion997$1.21 billion
RV park and campground645$842.8 million281$240.2 million
Self storage1,584$2.31 billion946$1.22 billion
Assisted living (without nursing care)2,232$2.60 billion505$640.9 million
Multifamily (lessors of residential buildings)204$122.1 million11$12.7 million
Hotel and motel8,942$21.54 billion2,885$6.68 billion
Beverage manufacturing (breweries, wineries, distilleries)3,278$1.75 billion642$625.4 million
Nonresidential lessor (flex, office and retail investor buildings)1,486$1.40 billion81$82.5 million
Warehouse and distribution536$451.4 million193$346.6 million
Skilled nursing543$573.6 million178$276.6 million
Continuing care retirement community130$102.6 million47$66.0 million
Cold storage49$66.1 million39$102.3 million
Manufactured housing community (lessors of other real estate)302$269.7 million13$12.7 million
Urgent care and ambulatory surgery273$311.4 million37$54.5 million
Land subdivision32$9.5 million
Dialysis center28$31.9 million
Diagnostic imaging center298$234.4 million29$30.7 million
Dental office7,105$6.10 billion1,440$1.10 billion
Veterinary clinic2,941$3.21 billion496$438.5 million
Rehabilitation and therapy clinic3,063$951.7 million522$299.8 million
Behavioral health and addiction treatment1,018$674.5 million183$174.0 million
Hospital231$131.4 million
Parking lot and garage118$68.0 million22$33.8 million
Life science lab (research and development)292$143.4 million48$72.3 million
School (elementary and secondary, including charter)603$565.8 million315$439.5 million
Automotive mechanical repair (car and truck)9,568$4.11 billion1,619$873.7 million
Marina220$246.0 million80$101.7 million
Data center911$476.9 million50$41.6 million
Medical office (physicians)6,346$3.68 billion1,477$1.47 billion
Fitness center11,604$4.70 billion916$1.03 billion
Full-service restaurant28,716$14.04 billion3,515$2.87 billion
Limited-service restaurant19,828$8.83 billion1,710$1.28 billion
Child care center8,128$6.75 billion1,959$2.02 billion
Liquor store6,438$4.68 billion302$251.6 million
Beauty salon8,281$1.67 billion551$196.6 million
Coffee shop and snack bar7,958$2.74 billion375$186.6 million
Grocery store3,701$2.75 billion488$631.7 million

Source: Loan Analytics' SBA loan record from SBA's 7(a) and 504 loan-level files, approvals FY2017 to FY2026 as of 2026-09-30; rates are floors and need at least 30 loans in their cohort; dollars are not shown where fewer than five loans would reveal a single loan. Download this table (CSV). Cite as: Loan Analytics, "SBA loans by asset class and program, FY2017 to FY2026", https://www.analytics.loan/#classes-classes.

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Questions buyers ask

Where do I find a feasibility study consultant who knows SBA lending?

Ask any candidate to place your project in the SBA's own loan record before quoting. A consultant who can do that will name your state's loans and floors, your metro's median loan and your class's 7(a) and 504 counts, and will say what each means for the study. Loan Analytics works from that record nationally, every state from California's 23,668 loans in the tracked classes down to Wyoming's 296, and every metro in the table from New York-Newark-Jersey City's 41,697 approvals to Baton Rouge's 963. The scope we return after a request names the rows of these tables the study will test your project against.

What does a lender want to see in a feasibility study?

A demand case the reviewer can trace to a source, a cost basis that supports the loan amount, cash flow that covers debt service with a margin, and a downside case. The downside case is where this page's data does the most work. A lender in Texas works in a state whose charge-off floor is 6.4%; a lender in Hawaii, 9.2%; a lender in Washington, 2.5%. A study that stresses the project less than the local record has already stressed similar loans gives the reviewer an easy reason to return it. On a 504 file the certified development company reads the same study, so its structure has to fit the program the class record points to.

What does a feasibility study cost for a car wash, gas station or self storage loan?

Providers' published fees for one-site SBA work on a standard special-purpose property run from $5,000 at the low end to $12,500 at the top, according to the survey of 2026 fees that Loan Analytics posts on this site; the band covers the self storage facility, the car wash, the fuel station, the RV park, the restaurant and the franchise unit alike. Set that against the loans in the class table: gas stations took $9.34 billion of 7(a) lending on 6,403 loans, car washes $3.84 billion on 2,713, self storage $2.31 billion on 1,584. The survey records market ranges, not a quote; the fee for your project is set in the scope response.

How much does a hotel or assisted living feasibility study cost?

Hotel and assisted living studies fall in the upper band of Loan Analytics' 2026 fee survey: providers publish $10,000 to $25,000 for that complex work, which also takes in projects spread over several sites and construction delivered in phases. Fieldwork sets the price. Each hotel in the competitive set is checked in turn, and an assisted living project cannot open without its licence, so the study has to answer for both. The loans behind those studies are the largest in the class table: hotels and motels took $21.54 billion of 7(a) lending on 8,942 loans and $6.68 billion of 504 lending on 2,885, and assisted living $2.60 billion on 2,232 7(a) loans and $640.9 million on 505 504 loans.

What does a USDA Business and Industry feasibility study cost?

For B&I work, Loan Analytics' 2026 fee survey, which leans on an earlier article here about USDA study costs, records fees that start at $7,500 and reach $18,750 and above. The federal rule, 7 CFR Part 5001eCFR, lists the factors such a study must address, and that longer list is why the band sits above single-site SBA work; a report meant to satisfy both agencies is priced to the USDA list. Nothing in this page's tables is a USDA number: they are SBA records, so a B&I study draws its demand evidence from the rural market itself.

How long does a feasibility study take?

No fixed schedule is published, because the schedule follows the scope and is set in the scope response. Our 2026 fee survey names what stretches it: additional sites, each needing its own market section; a building not yet built, whose ramp only starts once it opens; a franchise brand whose system results the projection must be read against; USDA's longer factor list; and rural fieldwork, where comparable properties are visited rather than looked up. Of those, the tables here can flag the last: Wyoming's 296 loans in the tracked classes and Alaska's 340 leave a study few SBA comparables in the state. The timeline you receive is set against your closing date.

What does the cancelled rate in the state table mean for my loan?

It is the share of approvals in the tracked classes that were cancelled instead of funded, printed as a floor. New Jersey prints 15.5%, New York 14.7%, Florida and Maryland 14.2%; Maine prints 8.1% and Mississippi 8.5%. The loan records do not say why an approval was cancelled. A study cannot remove that risk, but it can test, before the loan funds, what a lender is able to verify: a budget at current costs, site control and permits, and the sponsor's equity. In a state at the top of that column, a lender has good reason to want those tested.

Should my project be financed with a 7(a) or a 504 loan?

The lender and the sponsor set the structure, and the class table shows what lenders have chosen. Cold storage took 39 504 loans for $102.3 million against 49 7(a) loans for $66.1 million; self storage 946 504 loans against 1,584; schools 315 against 603. Liquor stores, coffee shops and beauty salons are mostly 7(a): 302, 375 and 551 504 loans against 6,438, 7,958 and 8,281. A Loan Analytics study is written to the program on the term sheet, and where the class record points the other way the study says so, because the reviewer will notice.

Can you prepare a feasibility study where there is little SBA lending?

Yes. A short record changes the method, not the standard. Wyoming has 296 loans in the tracked classes, Alaska 340, Hawaii 477 and Delaware 483. In those states the comparables come from the trade area and from the class's national record, and the state floors are reported with the caution a small cohort calls for: Wyoming's printed charge-off floor of 0.00% and Hawaii's 9.2% both rest on small books. The study says so, and builds its stress case from the property type's operating evidence rather than from a state rate a few loans can move.

Does my state change what a lender asks a study to show?

Through the state's record, yes. Michigan and Pennsylvania lent nearly the same dollars, $3.63 billion and $3.54 billion, on 6,223 and 5,781 loans, but Michigan's charge-off floor is 3.3% and Pennsylvania's 4.7%. Missouri and Maryland made similar numbers of loans, 2,886 and 2,834, yet Maryland's cancellation floor is 14.2% against Missouri's 12.5%. A lender reads a project against what its own state's loans have done, and a study meets that reading with the state's numbers rather than a national figure.

What will a lender ask about a restaurant, gym or salon project?

Mostly about saturation. These are the deepest counts in the class table: 28,716 7(a) loans to full-service restaurants, 19,828 to limited-service restaurants, 11,604 to fitness centers and 8,281 to beauty salons. Market saturation by industry type and location is the first circumstance the agency's own procedure lists, in the passage our 2026 fee survey reproduces, for asking for a study. A study for one of these businesses counts the competing operators in the trade area, sets their capacity and prices against local demand, and shows the share of that demand the project needs to cover its debt.

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Feasibility study consultant: request a scope

Start the scope request with your rows from this page: your state in the state table, your metro in the metro table and your asset class in the class table. A car wash in the Dallas-Fort Worth-Arlington metro starts from Texas's 16,068 loans and 6.4% charge-off floor, a metro median of $350,000, and a class that took 997 504 loans for $1.21 billion. A dental practice in the Cleveland metro starts from Ohio's 7,638 loans and 4.4% floor, a metro median of $90,000, and 7,105 7(a) dental loans for $6.10 billion. The scope we send back names the tests the study will run on numbers like these and the program rule it is written to.

Add the loan amount, the program on the term sheet, the kind of project it is (a purchase of an operating business, new construction, an expansion or a start-up), and the lender if one is engaged. The form below reaches Loan Analytics directly, and the study it leads to is written to be read beside these tables by the reviewer who decides the loan.

Request Scope & Timeline

Sources for the figures on this page

What these figures count, and where they come from:

  1. $45.09 billion: gross SBA 7(a) and 504 approvals in FY2025, 84,840 loans, the highest dollar total of any fiscal year from FY1991 to FY2026; SBA's guaranteed exposure that year was $35.31 billion. Source: SBA loan data as of 2026-09-30.

Start with the data.

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