Who Does a Feasibility Study? The Definitive Guide for SBA, USDA, and Conventional Borrowers

The short answer depends entirely on why you are asking. If a feasibility study is an internal decision tool, your own management team can prepare it. If a lender or a federal agency is requiring one as a condition of financing, the question is no longer open: regulation answers it for you, and the one person who cannot prepare it is you, the borrower. This guide is about that second answer, the one that determines whether a loan closes.

The distinction matters because the two situations are routinely confused, and the confusion is expensive. A borrower who spends six weeks and several thousand dollars commissioning the wrong document, or commissioning the right document from the wrong preparer, does not discover the error until a credit committee or an agency reviewer rejects it. By then the closing timeline has already slipped. The purpose of this guide is to make the answer unambiguous before that happens.

The Two Meanings of "Feasibility Study"

Search the phrase "who does a feasibility study" and the results describe a corporate planning exercise: a company considering a new product line, a software migration, or a market entry, conducted by the company's own managers or a project-management office. That is a legitimate use of the term. For an internal go/no-go decision, the people closest to the project are often the right people to assess it, and there is no independence problem because there is no third party relying on the conclusion.

Lender-mandated feasibility studies are a different instrument entirely. Here the study exists precisely so that someone other than the borrower, a credit committee, an SBA loan officer, a USDA state office, can rely on an assessment the borrower did not write. The entire value of the document rests on the fact that its author has no stake in the answer. An internal study assesses whether management should proceed. A lender study assesses whether a lender should risk capital, and it must do so from a position of demonstrated independence and competence. The same two words describe both, which is the source of nearly all the confusion borrowers encounter.

Everything that follows in this guide concerns the second instrument: the independent, third-party feasibility study required as a condition of commercial financing.

The Regulatory Answer, Program by Program

When a feasibility study is required for a loan, the requirement traces to a specific program rule. Those rules differ sharply in how prescriptive they are. USDA writes the question into its regulations in detail. SBA leaves it largely to discretion and lender judgment. Conventional lenders operate under supervisory guidance rather than codified mandates. Understanding which regime governs your loan tells you most of what you need to know about who must prepare your study.

USDA: The Explicit Standard

USDA's lending programs contain the most detailed and quotable preparer standard in federal lending. Under the agency's consolidated OneRD framework at 7 CFR Part 5001, a feasibility study is defined in the regulation itself as a report "conducted by an independent qualified consultant(s) evaluating the economic, market, technical, financial, and management feasibility of the proposed project or operation in terms of its expectation for success."

That single sentence does a remarkable amount of work. It names the preparer ("an independent qualified consultant"), and it fixes the scope at five distinct dimensions: economic, market, technical, financial, and management feasibility. A document that analyzes only the market, or only the finances, is not a complete USDA feasibility study regardless of how thorough it is on that one axis.

For the Business and Industry (B&I) program, the regulation goes further and sets a bright-line trigger. For guaranteed loans greater than $1,000,000 to a new business, a feasibility study prepared by an independent qualified consultant acceptable to the agency is required, and the agency determines the scope based on the complexity of the project. Below that threshold, or for existing businesses, the study becomes discretionary, required only when the lender's analysis and the borrower's own materials are insufficient to establish that the project will work.

Interactive decision tool: user selects program (B&I / Community Facilities / REAP), loan size, and new-vs-existing business; tool returns whether an independent feasibility study is mandatory, discretionary, or replaced by a lighter analysis, with the governing citation.

USDA's Community Facilities program carries a parallel structure with one notable addition. For guaranteed CF loans over $1,000,000 to a new entity or for a new activity, the same independent-qualified-consultant feasibility study is mandatory. But CF also recognizes a tier of financial feasibility study backed by an examination opinion, and the agency's guidance is explicit that this version must be prepared by a Certified Public Accountant carrying professional liability insurance that the processing office verifies. This is the single instance in federal lending where a rule names a specific professional credential as a condition of who may prepare the study. Everywhere else, "qualified" is judged on the facts; here, for the examination-opinion tier, it requires a CPA.

The Rural Energy for America Program (REAP) works differently again, because most REAP applications are driven by technical and engineering analysis rather than market demand. A full feasibility study is required only for renewable energy system projects, and only when the lender or the agency deems it necessary; the routine REAP requirement is a tiered technical report scaled to project cost, prepared by qualified engineers or, for the smallest projects, by the equipment vendor or installer. Borrowers evaluating rural solar should also be aware that REAP's posture shifted materially over 2025. USDA paused new grant application windows in mid-2025 while continuing to accept guaranteed loan applications, and adopted policy disincentivizing ground-mounted solar on productive farmland. Anyone scoping a REAP project in 2026 should confirm the current grant status and the latest funding notice before relying on prior-year parameters.

SBA: Discretion, Not Prescription

Borrowers are often surprised to learn how little the SBA regulations actually say about feasibility studies. The entire codified basis is one clause in 13 CFR 120.160(b): "SBA may require professional appraisals of the applicant's and principals' assets, a survey, or a feasibility study." That is the whole of it. The word is "may," the feasibility study sits alongside appraisals and surveys as one option among several, and there is no codified standard in Part 120 governing who must prepare it or what independence means.

The operational detail lives in SBA's Standard Operating Procedures. The governing edition is SOP 50 10 8, which took effect June 1, 2025 and replaced the prior 50 10 7.1, with a technical update effective March 1, 2026. SOP 50 10 8 is the operative manual as of mid-2026; no later edition has superseded it. The practical reality under the current SOP is that feasibility studies are most consistently expected for special-purpose properties, the asset types whose value depends heavily on a specific business use, where the SOP also requires an appraisal from a Certified General appraiser with demonstrated going-concern experience in that property type.

A note of precision matters here, because a great deal of marketing content overstates what the SBA rules require. The codified SBA hook is discretionary, and the detailed SOP requirements that providers describe should be confirmed against the actual SOP text rather than taken from secondary summaries. What does not change is the underlying logic: when an SBA loan depends on projected performance rather than an operating history, the lender needs an independent basis for believing those projections, and a third-party feasibility study is how that basis is established.

One frequently asked question deserves a direct answer here. The 2026 increase in the combined SBA lending cap to $10 million, effective July 4, 2026, is a loan-sizing change. It decouples the 7(a) and 504 ceilings so a borrower can access more total SBA-backed financing. It does not alter feasibility study requirements or third-party report standards in any way.

Conventional Lending: Supervisory Expectation

Conventional commercial lenders operate without a codified preparer standard, but not without expectations. The governing text is the OCC's Comptroller's Handbook on Commercial Real Estate Lending, which instructs banks to determine project feasibility for acquisition, development, and construction loans and then issues a pointed warning: feasibility studies commissioned by the borrower "may be biased and should be critically reviewed," and the bank "should conduct its own analysis of the project." The Interagency Guidelines for Real Estate Lending require banks to maintain written construction-lending policies that address requirements for feasibility studies and risk analysis.

The signal to borrowers is unambiguous. Even where no statute compels an independent study, the supervisory framework treats a borrower-prepared analysis as inherently suspect. A study from an independent third party is not merely preferred; it is the form of evidence a regulated lender is instructed to weight, while a self-prepared projection is the form it is instructed to discount.

Comparison matrix: rows for SBA 7(a), SBA 504, USDA B&I, USDA Community Facilities, USDA REAP, and Conventional; columns for trigger, preparer standard, independence language, and reviewer, with regulatory citations

The Four Tests of a Qualified Preparer

Strip away the program-specific language and every regime is screening for the same four things. Whether the reviewer is an SBA loan officer, a USDA state office analyst, or a bank credit committee, the questions they are asking about the person who prepared your study reduce to independence, competence, data access, and defensibility. We refer to these as the Four Tests, and they are the framework a borrower should use to evaluate any preparer before engaging one.

• Independence is the threshold test, and it is binary. The preparer must have no financial or personal stake in whether the loan is approved or the project proceeds. This is why the borrower, the seller, the developer, the broker earning a commission, and the equipment vendor whose sale depends on the financing are all disqualified, regardless of how much they know about the project. Independence is not a matter of degree that competence can offset. A brilliant analysis from an interested party fails this test, because the entire reason the document exists is to provide the lender a view the borrower did not author.

• Competence is graduated rather than binary, and it is where professional credentials and sector experience matter. The preparer must possess the analytical capability the specific project demands. A study of a 120-room hotel requires fluency in occupancy and average-daily-rate modeling; a study of a skilled nursing facility requires command of payer mix and reimbursement dynamics; a study of a rural food-processing plant requires the ability to assess production capacity and offtake agreements. Competence is demonstrated through a combination of relevant credentials and a documented track record in the asset class, which is why credit committees look for both.

• Data access is the test most invisible to borrowers and most decisive with reviewers. A credible feasibility study is built on the canonical dataset for its asset class, and access to those datasets is a meaningful barrier. A hotel study without STR benchmarking data, a seniors-housing study without NIC MAP data, a self-storage study without supply-pipeline data, or a medical-office study without specialized occupancy data is missing the empirical spine a reviewer expects. Naming the correct data source, and interpreting it correctly, is a large part of what separates a study a committee trusts from one it questions.

• Defensibility is the test that ties the other three together. The study's conclusions must survive scrutiny: the demand forecast must net out competitive supply before applying any capture rate, the key assumptions must be triangulated against comparable operating assets rather than resting on a single optimistic figure, and the analysis must hold up when a skeptical reviewer pushes on it. Studies fail far more often on the demand chapter, on unsupported capture or penetration assumptions, than on arithmetic errors. A defensible study is one written from the outset to withstand disagreement.

Interactive framework graphic: the Four Tests (Independence, Competence, Data Access, Defensibility) as four panels; clicking each reveals what reviewers screen for and the common failure mode at that test

Who Qualifies: The Credentials Landscape

No single licensed profession owns feasibility-study work for commercial loans. There is no "feasibility analyst" license, no board examination a person passes to become certified to produce the document, and no registry a lender can consult to confirm that a given preparer is authorized. Qualification is instead demonstrated through credentials that signal analytical competence, paired with a documented record of work in the relevant asset class. Understanding which credentials carry weight, and what each one actually certifies, helps a borrower read a preparer's qualifications the way a reviewer will, and it dispels the common assumption that any single letter after a name settles the question.

The credentials most recognized by credit committees for real-estate-anchored studies come from the appraisal and real estate counseling disciplines, and the most directly relevant of them is the MAI designation conferred by the Appraisal Institute. The MAI is held by professionals whose training explicitly covers feasibility analysis, advanced market analysis, and highest-and-best-use determination, and whose work is recognized by courts, government agencies, financial institutions, and investors. It is a deliberately scarce credential; of roughly ninety thousand active licensed appraisers in the United States, only a small fraction hold the MAI, and the designation requires a rigorous sequence of coursework, demonstration of experience, and a comprehensive examination. For a study whose conclusions turn on the value and income behavior of real property, the MAI is the credential a reviewer most readily trusts. The Appraisal Institute also confers a non-designated Practicing Affiliate status, which many feasibility specialists hold, and a great deal of feasibility work is performed under the discipline of the Uniform Standards of Professional Appraisal Practice even when a particular engagement does not strictly compel it. Working under USPAP discipline matters because it imposes enforceable obligations of competency, an ethics rule, and a scope-of-work rule, and a preparer who voluntarily adopts that discipline is signaling that the analysis was developed under a recognized professional standard rather than ad hoc.

Two further real estate credentials sit alongside the MAI in the reviewer's mental hierarchy. The CRE, or Counselor of Real Estate, is held by roughly a thousand professionals worldwide and is extended substantially by invitation, with applicants expected to bring a decade of industry experience and several years specifically in real estate advisory work; it certifies a demonstrated ability to give objective, conflict-free counsel on complex real estate problems, which is precisely the posture a feasibility study demands. The CCIM, or Certified Commercial Investment Member, is conferred by the CCIM Institute after roughly two hundred hours of classroom instruction, a documented portfolio of qualifying experience, and a comprehensive examination, and it certifies proficiency in investment analysis, market analysis, user-decision analysis, and financial analysis for commercial real estate. Around nine thousand professionals hold the CCIM designation, with several thousand more in pursuit of it. Both credentials map cleanly onto the market and financial dimensions at the core of feasibility work, and a preparer holding one of them in combination with sector experience presents a profile a credit committee reads as competent.

On the finance and accounting side, the Certified Public Accountant license is the credential a USDA rule actually names, and as discussed it is mandatory for the examination-opinion tier of a Community Facilities feasibility study, where the agency requires the preparer to be a CPA carrying professional liability insurance the processing office verifies. Beyond that single hard requirement, the CPA paired with the Accredited in Business Valuation credential, which the American Institute of CPAs confers on license-holders who complete fifteen hundred hours of valuation experience and pass the ABV examination, signals competence in the valuation work that often accompanies a feasibility analysis, particularly in change-of-ownership transactions. The Chartered Financial Analyst charter, awarded by the CFA Institute after passage of three examination levels and four thousand hours of qualifying investment experience, indicates depth in the financial modeling, discounted-cash-flow analysis, and capital-markets reasoning that underpin the financial-feasibility dimension. For projects with significant technical scope, particularly REAP renewable-energy projects and engineering-intensive USDA work, the relevant signal is the Professional Engineer license, since only a licensed PE may sign and seal engineering work, and USDA's technical-report requirements for larger renewable-energy projects expect the project team to hold the necessary professional credentials and relevant experience. A skills-based certificate such as the FMVA, the Financial Modeling and Valuation Analyst credential from the Corporate Finance Institute, demonstrates modeling proficiency and is completed online without formal prerequisites; it can attest to a preparer's command of three-statement modeling and sensitivity analysis, but because it is a certificate rather than an experience-gated license, a credit committee weights it less heavily on its own than the designations that require documented experience and peer review. Finally, for agricultural ventures, value-added producer projects, and cooperatives, PhD economists and university extension specialists bring doctoral-level analytical training, and the land-grant Cooperative Extension system employs such specialists who perform feasibility assessments of value-added and cooperative ventures, often as a low-cost or grant-funded service.

The essential point for borrowers running through this landscape is that the credential is a proxy, not a license. With the single CPA exception, neither SBA nor USDA requires a specific designation, and no credential by itself makes a preparer qualified for a particular study. What the programs require is that the preparer be qualified for the specific task at hand, and these credentials are the evidence by which "qualified" is judged, alongside the preparer's demonstrated experience in the asset class. A CCIM with ten self-storage studies behind them is a more credible choice for a self-storage project than an MAI who has never analyzed the type, and vice versa for a hotel. Most decisively, "qualified" is determined by the lender and the agency reviewer, not by the borrower and not by the preparer's own marketing. The judgment belongs to the party relying on the study, which is exactly why a borrower should select a preparer whose credentials and track record will read as persuasive to that audience rather than merely impressive on a website.

Who Is Disqualified, and Why

If competence is established by credentials and experience, independence is established largely by exclusion, and the exclusions are categorical rather than matters of degree. The principle is simple: anyone who stands to gain from a favorable conclusion cannot be the one who reaches it. The borrower is disqualified because the borrower is the party seeking the loan, and a borrower-authored projection is the precise thing the feasibility study exists to replace with an independent view. The seller of a business or a property is disqualified because the sale closes only if the financing does, which gives the seller a direct interest in a positive finding. The developer is disqualified for the same structural reason. A broker earning a commission on the transaction is disqualified, because the commission is contingent on the deal proceeding. And the equipment vendor who offers a "free pro forma" alongside a quote for car wash tunnels or fuel dispensers is offering a sales instrument dressed as an analysis, which is why lenders discount vendor projections heavily and why a study resting on them tends to fail at the first serious review. None of these exclusions is a judgment about the honesty or the knowledge of the party involved. A seller may understand the business better than anyone, and a vendor may know the equipment cold. The exclusion is structural: the document's entire purpose is to give the lender an assessment that no interested party shaped, and an interested party cannot satisfy that purpose no matter how capable they are.

This matters in practice because the consequences of weak independence and unsupported analysis are documented, not hypothetical. Oversight reviews of federal lending programs have repeatedly found loans approved on the strength of projections that did not hold up, with sales forecasts that were unsupported or significantly overstated and repayment ability resting on optimistic assumptions rather than defensible analysis. In one such review of activity in the Section 504 program, examiners concluded that a substantial sum in program funds may have been improperly approved in a single fiscal year, with the recurring theme being reliance on projections that an independent and rigorous analysis would not have sustained. The lesson a borrower should draw is not that projections are forbidden, since every forward-looking study rests on them, but that the projections must come from an independent preparer and must be defensible on their own terms. An independent feasibility study is the mechanism the lending system uses to put exactly that discipline between an optimistic plan and an approved loan, and the documented failures are what happen when that discipline is absent or compromised.

It is also worth being precise about who reviews the question of independence and competence, because the answer reinforces why the borrower cannot self-certify it. The party relying on the study, the lender and, where one is involved, the federal agency, is also the party that judges whether the preparer was acceptable. For USDA, the regulation speaks of a consultant "acceptable to the Agency," which means the state office can and does form a view about whether a given preparer's independence and qualifications are sufficient. For conventional loans, the bank's own credit function makes that determination under supervisory guidance that explicitly tells it to treat borrower-commissioned work with skepticism. In neither case does the borrower's belief that their chosen preparer is independent and qualified settle the matter. The reviewer decides, which is the most practical possible reason to select a preparer whose independence is unimpeachable and whose qualifications are evident before the study is ever commissioned.

This is also the right place to dispel the most common and most costly confusion in the entire subject: the belief that a business plan, a market study, or an appraisal can stand in for a feasibility study. They cannot, and the reason is that each answers a different question.

A business plan asks "how will we do this?" It is the borrower's own operating roadmap, and it is inherently an advocacy document, written to present the venture favorably. USDA's own regulation treats the business plan and the feasibility study as distinct submissions. The feasibility study asks the prior question, "should this be done at all?", and answers it from an independent standpoint. The business plan typically comes after a positive feasibility conclusion, not instead of it.

An appraisal asks "what is it worth?" It is a present-tense opinion of market value, prepared by a licensed appraiser under USPAP, and it supports the lender's collateral and loan-to-value analysis. A feasibility study is forward-looking and supports the cash-flow and debt-service-coverage analysis. The appraisal's highest-and-best-use test contains a narrow "financially feasible" prong, but that is not a substitute for a full feasibility study, and the federal lending frameworks do not permit one document to stand in for the other.

A market study asks "is there demand?" It analyzes the intersection of supply and demand for the use, and it is genuinely a component of a feasibility study. But it is only one of the five dimensions USDA requires, and on its own it does not address technical, financial, or management feasibility. A market study is an input; the feasibility study is the conclusion that integrates that input with the rest.

Comparison graphic: feasibility study vs. business plan vs. appraisal vs. market study, organized around the four questions (should we / how will we / what's it worth / is there demand), showing who prepares each, what question it answers, and how lenders use it.

The Asset Class Dimension

Who is qualified to prepare your study depends heavily on what you are building, because the analytical demands and the canonical data sources vary enormously across property types. A preparer fully qualified for a multifamily study may have no business analyzing a skilled nursing facility, and a hotel specialist may be lost in the demand dynamics of a rural campground. This is why competence is assessed against the specific asset class rather than in the abstract, and why the most useful question a borrower can ask a prospective preparer is not "do you do feasibility studies?" but "what is your track record in this asset class, and what data source will you use?" The asset classes that most commonly require lender-mandated feasibility studies fall into four analytical families, and understanding the logic of each family clarifies what a competent study must actually demonstrate.

The first family is benchmarked hospitality, which includes hotels, recreational-vehicle parks and campgrounds, and marinas, and its defining feature is that performance is measured against a national benchmarking database that lets an analyst place a specific property within its competitive set. A hotel study is the clearest case. It must model occupancy, average daily rate, and revenue per available room, and it must do so through a supply-and-demand analysis that projects occupied room-nights by demand segment and then tests the subject property against its competitors using penetration indices, the market penetration index for occupancy share, the average rate index for pricing power, and the revenue generation index for overall revenue share, each scored against a fair-share baseline of one hundred. The canonical data source is STR, the lodging-performance database now owned by CoStar, and a hotel study that does not rest on STR benchmarking is missing the evidentiary spine a reviewer expects, because there is simply no other way to demonstrate that a forecast occupancy and rate are achievable rather than aspirational. Recreational-vehicle parks and campgrounds follow the same benchmarked logic but with different metrics and sources: the analyst models camper-nights of demand, seasonal occupancy curves that spike in summer and fall away in shoulder seasons, site-mix and revenue per available site, and leakage of demand to other markets, drawing on benchmarking from the industry's trade associations and on registration and visitation data. Marinas extend the family into the most data-scarce corner of it; a marina study must model wet-slip and dry-stack demand by boat-length class, slips-per-capita against registered-boat counts, occupancy and waitlist length as evidence of unmet demand, and slip-mix and pricing, but there is no single national performance database for marinas comparable to STR or to the seniors-housing benchmarks, so the analysis is necessarily more bespoke and leans on state boat-registration data, trade-association sources, and booking-platform signals. The honest framing for a borrower is that benchmarked-hospitality competence means, first and foremost, fluency with the relevant benchmark, and where no robust benchmark exists, as with marinas, it means the judgment to triangulate credibly from fragmented sources rather than the false confidence of a single number.

The second family is traffic-and-trade-area retail, which includes car washes and gas stations with convenience stores, and here the forecast is driven by vehicle counts and the share of passing traffic the site can capture. A car wash study lives or dies on the capture rate, the percentage of average annual daily traffic the wash will convert into customers, and competent analysts know this is the single most fragile assumption in the entire study, because traffic volume alone explains only a modest share of the variation in actual wash volume. A defensible car wash study therefore does not simply multiply a traffic count by an assumed capture percentage; it triangulates the capture assumption against comparable operating washes, adjusts for site-specific factors such as speed limit, ease of entry and exit, retail co-tenancy, household income, and competition, and increasingly validates the picture with mobility data, while treating the subscription-membership penetration that now dominates express-wash economics as a central variable rather than an afterthought. Gas stations with convenience stores follow a parallel logic on the fuel side, modeling gallons from traffic capture and trade-area fuel demand, but the modern study has to recognize that the convenience store, not the fuel, increasingly drives profitability; industry data show that in-store sales, and foodservice in particular, contribute a disproportionate share of gross profit relative to fuel, so a credible study disaggregates merchandise and foodservice categories, models category-level margins, and, because these loans commonly run twenty-five to thirty years, takes a defensible position on the long-run trajectory of fuel volume as the vehicle fleet electrifies. The canonical source for the convenience and fuel sector is the National Association of Convenience Stores and its industry data, supplemented by traffic counts and fuel-pricing data. For a borrower, traffic-and-trade-area competence means a preparer who treats the capture rate as a contested estimate to be defended rather than a constant to be plugged in, because that single discipline is what separates a study a lender trusts from a vendor pro forma it discounts.

The third and largest family is demographically driven real estate, which spans self-storage, multifamily, medical office, daycare and early education, event venues, and the seniors-housing continuum of assisted living, memory care, and skilled nursing, and its unifying logic is penetration or capture analysis against a population that has been qualified by age, income, or need. Self-storage is the archetypal per-capita case: the study measures net rentable square feet of storage per capita within a trade area of roughly three to five miles, tests that supply against a per-capita equilibrium benchmark to determine whether the market is over- or under-supplied, analyzes street rates by unit type, accounts for the development pipeline, and projects lease-up to a stabilized occupancy, with the canonical source being the specialized self-storage data services that track facility supply, street rates, and the construction pipeline. Multifamily applies the same demographic discipline through net absorption against deliveries, vacancy by property class, effective rents net of concessions, rent-to-income ratios against an affordability threshold, and capture of qualified renter households, drawing on the major commercial-real-estate data platforms; a critical program note is that SBA does not finance pure apartment buildings or mobile-home parks, so multifamily sits in conventional and agency territory and its market studies follow appraisal and agency norms rather than SBA feasibility norms. Medical office turns on occupancy and absorption, triple-net rents, physician and provider counts, outpatient-utilization demand, and proximity to hospitals and health systems, with a specialized medical-office data service serving as the recognized benchmark and a national occupancy rate that has run in the low nineties in recent years, a level of demand a study must situate its subject within. The seniors-housing continuum is the most demographically intensive of all: assisted living and memory care studies model the penetration rate of age- and income-qualified households, typically those aged seventy-five or eighty and above with sufficient income, against the supply of units, alongside absorption versus inventory growth, rent growth by care segment, and the availability and wage-sustainability of labor, with the National Investment Center's NIC MAP data as the canonical source and recent national occupancy in the high eighties providing the backdrop. Skilled nursing adds a regulatory and reimbursement overlay that makes it a specialist's domain, requiring analysis of licensed-bed occupancy, payer mix across Medicare, Medicare Advantage, Medicaid, and private pay, case mix under the federal payment model, referral demand from hospital discharges, and the adequacy of reimbursement against cost, drawing on federal data alongside the seniors-housing benchmarks. Daycare and early education, though humbler in scale, follow the same population logic, modeling the count of children with all available parents in the labor force against licensed capacity to identify a supply gap, then projecting enrollment ramp and tuition against local affordability, with a national child-care gap assessment providing the demand framework. Event venues round out the family as its thinnest-data member, modeling addressable event volume from marriage and event counts, bookings per year, revenue per event, and pronounced seasonality, but without a single canonical national performance database, so the analysis again leans on wedding-industry data and demographics and demands the judgment to build a credible forecast from imperfect inputs. Across this entire family, the competence a borrower should look for is the discipline of qualifying the population correctly and then netting out competing supply before applying any capture or penetration rate, because the characteristic failure of a weak demographically-driven study is to apply an optimistic capture rate to a gross population while ignoring the competition already serving it.

The fourth family is USDA-program technical assets, principally manufacturing and food-processing facilities and renewable-energy projects, where technical and engineering feasibility carries weight equal to market demand and the study cannot be carried by a market analyst alone. A manufacturing or food-processing study under USDA's framework must satisfy all five regulatory dimensions, but the technical dimension is where these projects are won or lost: the study must assess production capacity against realistic throughput, the suitability and commercial availability of the process technology, facility design and regulatory compliance, and, critically, the enforceability and reliability of the supply and offtake agreements that determine whether inputs will arrive and output will sell. The financial dimension here looks beyond a repayment snapshot to long-term sustainability, and the management dimension weighs operator experience seriously. Renewable-energy projects under REAP are the most distinctive of all, because they are driven not by market demand but by engineering and energy yield: the analysis must establish the quality of the renewable resource and the estimated annual energy generated, the percentage of the applicant's historical energy use the system will replace, the adequacy of the design and the commercial availability of warranted equipment, the necessary interconnection and offtake agreements, and a simple-payback economic test, with the documentation rigor scaling by project cost from a vendor-prepared report at the smallest tier to a full technical report at the largest. For these technical assets, the competence a borrower needs is frequently engineering competence as much as market competence, which is why a Professional Engineer's involvement is often the relevant signal and why a generalist market analyst is the wrong choice for a biorefinery or a rural solar installation.

Interactive matrix: rows for ~15 asset classes (hotels, RV parks, self-storage, car washes, gas stations/c-stores, assisted living/memory care, skilled nursing, daycare, restaurant/QSR, event venues, multifamily, medical office, manufacturing/food processing, REAP solar, marinas); columns for core demand metric, canonical data source, and typical loan program; filterable by program

The matrix above maps each major asset class to its core demand metric, its canonical data source, and the loan programs that most commonly finance it, and it is the most efficient way to see at a glance how sharply the analytical requirements diverge from one property type to the next. Restaurant and franchise concepts deserve a specific mention that the families above only imply, because they introduce a document the other classes do not lean on as heavily: the franchisor's disclosure document, and within it the financial performance representation that, where a franchisor chooses to provide one, is the single most important benchmark for projecting unit-level sales. A competent franchise study tests projected average unit volume against that representation, against trade-area demographics, and against the broader trajectory of the system, rather than accepting a franchisor's headline figure at face value. The two program-specific notes worth restating plainly, because they surprise borrowers most often, are that SBA does not finance pure apartment buildings or mobile-home parks, which places multifamily outside the SBA feasibility framework entirely, and that USDA's five-part analysis applies in full to manufacturing and food-processing projects, where the technical and offtake dimensions carry weight equal to the market analysis and a study that slights them will not satisfy a state-office reviewer.

Who Orders It, Who Pays, and Who Relies on It

In SBA and USDA practice, the borrower normally orders the study and pays for it, because the borrower is the party assembling the loan application. This is the default, and it is not in tension with the independence requirement: a borrower-paid study is still independent as long as the preparer's compensation does not depend on the study's conclusion or the loan's approval. Independence attaches to the absence of a stake in the outcome, not to the source of the fee.

USDA explicitly permits the feasibility study cost to be financed into a B&I loan, which reduces the borrower's out-of-pocket burden. Providers commonly structure engagements with a portion of the fee due at the start and the balance on delivery. The emerging best practice for protecting independence, particularly in conventional and larger transactions, is for the lender or the CDC to order both the appraisal and the feasibility study from independent third parties, with each engagement letter prohibiting reliance on the other, so that the chain of independence is documented rather than merely asserted.

Whoever orders it, the party that relies on the study is the lender and, where applicable, the federal agency. That is the audience the document is written for. A feasibility study that reads as though it were written to please the borrower has failed at its purpose, because the reviewer it actually needs to satisfy is the one deciding whether to put capital at risk.

What It Costs and How Long It Takes

Published pricing for SBA and USDA feasibility studies clusters in a recognizable band. Standard studies generally run from roughly $5,000 to $25,000, with the median for a typical engagement falling in the $10,000 to $13,000 range. Smaller or short-form analyses can come in lower, and large or complex projects, multi-revenue-line ventures, biorefineries, institutional-scale developments, run higher, sometimes well above $30,000. The figures available publicly are provider-reported rather than drawn from an independent survey, so they are best treated as a reliable order of magnitude rather than a fixed schedule.

Turnaround follows a similar pattern. SBA-oriented studies are commonly delivered in roughly nine to fifteen business days, while USDA studies, with their broader five-part scope, more often run thirty to forty-five days, or four to eight weeks. Rush timelines are sometimes available at a premium. A borrower working backward from a target closing date should build the study timeline in early, because the study often gates the credit decision rather than running parallel to it.

How to Vet a Preparer

Because the borrower cannot judge their own study and the marketplace is full of providers with varying competence, the most useful thing a borrower can do is ask the right questions before engaging anyone. The following questions operationalize the Four Tests, and a preparer who cannot answer them crisply is a preparer to avoid.

First, on independence: Do you or your firm have any financial interest in this transaction or relationship with any party to it, and will your fee depend in any way on your conclusion or on whether the loan is approved? The only acceptable answers are no and no.

Second, on competence: How many feasibility studies have you completed in this specific asset class, and can you describe how this property type is analyzed differently from others? Generic experience is not sector experience.

Third, on data access: What named data source will you use to benchmark demand for this asset class, and do you hold a current subscription to it? A preparer who cannot name the canonical dataset for your property type does not have the empirical foundation a reviewer expects.

Fourth, on defensibility: How do you build your demand forecast, and how do you account for competing supply? Listen for whether they net out competition before applying a capture rate and whether they triangulate against comparable operating assets, or whether they rely on a single rule-of-thumb.

Fifth, on credentials and standards: What are your professional credentials, do you carry errors-and-omissions insurance, and do you prepare your work under USPAP discipline where applicable? For a USDA Community Facilities examination-opinion study, confirm the preparer is a CPA with verified liability coverage, because there the credential is not optional.

Sixth, on program fluency: Which loan program is this study for, and how does your scope map to that program's requirements? A USDA study must address all five feasibility dimensions; an SBA special-purpose study must align with the SOP; a preparer should be able to speak to the specific regime governing your loan.

Seventh, on deliverables and timeline: What exactly will the final document contain, what is your turnaround, and what is your revision process if the reviewer requests changes? A study is not finished until the reviewer accepts it.

Interactive checklist: the seven vetting questions as a printable/saveable checklist with space to record each prospective preparer's answers, organized under the Four Tests, with a flag indicator for unacceptable answers

A borrower who works through these questions is no longer guessing. They are screening preparers the way the lender and the agency will screen the resulting study, which is exactly the alignment that gets a study accepted the first time.

Frequently Asked Questions

Can I write my own feasibility study for an SBA or USDA loan?

No. When a lender or federal agency requires a feasibility study, it requires one prepared by an independent third party with no financial stake in the loan. The borrower is, by definition, an interested party. You can and should prepare a business plan, which is a different document, but the feasibility study must come from an independent preparer.

Who prepares a feasibility study for an SBA loan?

An independent, qualified third-party consultant with documented experience in the relevant asset class. SBA's regulations make the study discretionary and do not name a required credential, but the consistent expectation, especially for special-purpose properties, is an independent preparer whose competence and data access a credit committee can rely on.

Does a CPA do feasibility studies?

Sometimes, and in one case a CPA is required. For USDA Community Facilities feasibility studies backed by an examination opinion, the agency's guidance requires a CPA with verified professional liability insurance. For other programs and other asset classes, a CPA may be qualified, but so may an MAI appraiser, a CCIM, a CFA, or another qualified analyst; the right preparer depends on the asset class and the program.

Is a feasibility study the same as a business plan?

No. A business plan describes how the borrower intends to operate the venture and is written by the borrower as an advocacy document. A feasibility study independently assesses whether the venture is viable in the first place. Lenders require the feasibility study precisely because it is not the borrower's own document.

Is a feasibility study the same as an appraisal?

No. An appraisal is a present-value opinion that supports the lender's collateral analysis and must be prepared by a licensed appraiser. A feasibility study is forward-looking and supports the cash-flow and debt-service analysis. Federal lending frameworks do not allow one to substitute for the other; many loans require both.

Who pays for the feasibility study?

Typically the borrower, as part of assembling the loan application. This does not compromise independence, since independence depends on the preparer having no stake in the outcome, not on who pays the fee. USDA allows the B&I study cost to be financed into the loan.

Who reviews the feasibility study?

The lender always, and the federal agency where one is involved. For SBA, that is the lender's credit function and, for non-delegated loans, an SBA processing center. For USDA, the Rural Development state office reviews the study and issues the conditional commitment. For conventional loans, the bank's own credit committee, which supervisory guidance instructs to conduct its own analysis regardless of any borrower-commissioned study.

When You Need a Study Done Right

A feasibility study is not a formality to be cleared as cheaply and quickly as possible. It is the document a lender or a federal agency relies on to decide whether your project earns their capital, and its credibility rests entirely on the independence, competence, data access, and defensibility of whoever prepares it. The borrower who understands this stops asking "who can give me a feasibility study" and starts asking "who can give me one a credit committee will trust", which is the question that actually gets a loan closed.

MMCG Invest prepares lender-grade, independent feasibility studies for SBA 7(a), SBA 504, USDA B&I, USDA Community Facilities, USDA REAP, and conventional commercial financing across more than thirty asset classes. Our work is built on the canonical data infrastructure for each property type and written to withstand the scrutiny of the reviewer who matters. To discuss whether your project needs a feasibility study and what it would involve, book a meeting with us.

June 13, 2026, by Michal Mohelsky, J.D. Principal of MMCG Invest, LLC, feasibility study company. Interested in discussing market conditions for your data center project? Book a meeting with MMCG.

Reach out to discuss how our methodology supports your lending or development decision.

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

Contact: michal@mmcginvest.com

Phone: (628) 225-1125

About MMCG

MMCG Invest, LLC is a national commercial real estate feasibility consulting firm specializing in SBA and USDA feasibility studies across asset classes including hotels and hospitality, multifamily, RV parks, gas stations, and assisted living. Our analyses serve lenders, CDCs, investors, and developers seeking institutional-quality market intelligence for underwriting and investment decisions. Practicing Affiliate of the Appraisal Institute. Studies prepared under USPAP discipline.

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.