Prepared for lenders, CDCs, and federal agencies to SBA SOP 50 10 8, USDA 7 CFR Part 5001, and conventional underwriting standards. Fiduciary duty runs to the lender and the agency, never the borrower. 4,000+ engagements since 1998 covering $41.2 billion in evaluated project value. So far in 2026: 41 engagements and $1.54 billion evaluated — 17 SBA, 11 USDA.
Manufacturing feasibility joins market demand to production economics. The study establishes demand for the plant's output — contracted, identified, or market-derived — then tests the production model: capacity and utilization ramp, input cost structure, labor availability at the required skill level, and the capital budget against industry benchmarks. Vehicle, trailer, marine, and parts manufacturers are analyzed on OEM relationship quality, program-life revenue visibility, tooling amortization, and the cyclicality the end market imposes on coverage. Because USDA and SBA reviewers read manufacturing studies against job-creation and rural-impact criteria as well as repayment, the study documents employment, wage levels, and local economic effect to the standard the program requires.
Methodology combines industry production and pricing data, vehicle production and registration series, RSMeans location-adjusted facility budgets, BLS occupational wage data for the staffing model, and RMA and IBISWorld operating benchmarks. The financial model carries the utilization ramp, input-cost sensitivity, and program coverage tests across the firm's standard stress discipline, with every assumption sourced.
Every Wert-Berater financial model is fully linked with no hardcoded values, so any reviewer can stress any input. Deliverables comprise a complete narrative report and the linked Excel model, with ten-year pro forma, sensitivity analysis at ±5, 10, and 15 percent, interest-rate stress from +0.5 to +3.0 percent, and ratio analysis benchmarked against RMA and IBISWorld data.
SBA engagements are prepared to SOP 50 10 8, including its debt-service-coverage minimums of 1.15x operating and 1.00x global. USDA engagements follow RD Staff Instruction 5001 across the Business & Industry, Community Facilities, REAP, and Value-Added Producer Grant programs. Conventional engagements are built to the lender's stated coverage standard, typically 1.20x. Manufacturing reaches us predominantly through USDA B&I — where rural plant economics and job creation align with program purpose — alongside SBA 504 for owner-occupied facilities and conventional lending; Value-Added Producer Grant studies are prepared to 7 CFR Part 5001 where agricultural producers integrate forward into processing.
The firm's manufacturing and processing record spans USDA B&I and SBA engagements nationwide, including cold-chain, food-system, and industrial projects; manufacturing studies are prepared with the same fully linked financial models and stress discipline as every Wert-Berater engagement. Independence is non-negotiable: determinations follow the evidence and are not revised under pressure, and studies are built to pass lender, agency, and third-party review without exception items.
Screening the industrial market before committing to a full engagement? Manufacturing Market Risk Intelligence is a report prepared by our analysts to a published structure: supply, demand and the operating conditions in one market, with coverage shown before the order is taken. It is a market risk view, not a feasibility determination on your project, and it does not replace the study described on this page.
A feasibility study for a transportation equipment or parts manufacturer is not a generic manufacturing template applied to a new address. The scope is built around the specific production model — whether the facility assembles trailers, fabricates marine components, produces aftermarket parts, or performs OEM sub-assembly — because each configuration carries a different revenue structure, tooling obligation, and labor profile. The study opens by establishing the production premise: what is being made, in what volume, for which customer class, under what contractual or market-derived revenue basis. From that premise, every downstream assumption flows.
The narrative explains every assumption in plain language so that a credit officer who has never visited the site can follow the logic from raw material to debt-service coverage without ambiguity.
Demand for a transportation equipment or parts plant is rarely a single number pulled from a trade report. It is assembled from multiple evidence layers that, together, establish whether the plant can sell what it proposes to produce at the price the financial model requires. The analyst begins with the revenue premise: OEM contract, dealer network, direct-to-fleet, or open-market distribution. Each premise requires a different evidentiary standard.
For contract-backed facilities, the study examines the OEM or fleet customer relationship directly — program life, volume commitments, renewal terms, and the customer’s own production schedule as reported in public filings or disclosed in the data room. For market-derived demand, the analyst draws on vehicle registration series maintained by state DMV authorities and federal transportation agencies, commercial vehicle production data published by trade associations such as NTEA and RVIA, freight tonnage and fleet-replacement cycles from federal freight surveys, and dealer or distributor network coverage maps. Competitive supply is assessed through state business registries, facility-level production capacity reported in trade directories, and import penetration data from U.S. Census foreign-trade statistics. Where the plant targets aftermarket parts, warranty-claim data, fleet-age distributions, and parts-distribution channel economics are incorporated. The study does not assert demand; it counts the evidence, identifies the gap the plant is positioned to fill, and states the conditions under which that gap holds.
A handful of inputs drive the debt-service-coverage ratio for a transportation equipment or parts manufacturer more than any others. Identifying them early, sourcing them rigorously, and stress-testing them across a defined range is the analytical work that separates a credible study from a projection exercise. The assumptions below are the ones that move the coverage ratio materially for this project type; each is tested in the linked financial model so that a reviewer can change any input and observe the effect on coverage without breaking the workbook.
Credit officers and agency reviewers approach a transportation equipment or parts manufacturing loan with a specific set of concerns that differ from those they bring to real estate or service-business credits. Understanding those concerns shapes how the study is organized and what it must prove.
SBA reviewers applying SOP 50 10 8 require that the study demonstrate 1.15x operating coverage and 1.00x global coverage, and they scrutinize the demand basis carefully for facilities whose revenue depends on a single OEM customer — concentration risk is a named concern in manufacturing credits. The study addresses this by documenting program-life revenue visibility and, where relevant, customer financial condition from public sources.
USDA Business & Industry reviewers add a rural-impact lens: job creation, wage levels relative to the county median, and the multiplier effect on local suppliers are documented to the standard RD Staff Instruction 5001 requires. A rural parts plant that creates skilled manufacturing jobs at above-median wages is well-positioned under B&I criteria, but the study must quantify the effect, not assert it.
Conventional lenders typically require 1.20x coverage and focus heavily on the OEM relationship quality, contract term remaining, and the borrower’s ability to re-tool for a successor program if the current one ends. The study addresses re-tooling risk explicitly, including the capital cost of a program transition relative to the facility’s remaining debt service.
Every engagement begins with a fixed fee quoted within one business day of inquiry. The fee does not vary with the finding, and no portion is contingent on a positive determination or loan approval. That structure is not a formality; it is what makes the study credible to a reviewer who knows that a contingent-fee analyst has an economic interest in the outcome.
Standard delivery is ten to fifteen business days from receipt of a complete data room. The data room for a transportation equipment or parts manufacturer typically includes the business plan or project narrative, equipment specifications and vendor quotes, any OEM or customer contracts, three years of historical financials for an existing operation or comparable operator data for a startup, the capital budget with contractor or vendor support, and the site or facility information needed for the RSMeans cost review. Rush delivery is available when the lending timeline requires it.
Upon completion, the bound narrative report and the fully linked Excel model are published to a secure client portal. The financial model remains live: when a lender, agency reviewer, or the borrower’s counsel changes an input — a revised equipment cost, an updated interest rate, a modified utilization schedule — every output recalculates instantly. No hardcoded values means no hidden assumptions. The engagement closes with an explicit statement of conditions: the specific circumstances under which the conclusions hold, stated plainly so that any party relying on the study knows exactly what it does and does not represent.
The fee is fixed and quoted within one business day of inquiry. It does not vary with the finding and no portion is contingent on a positive determination or loan approval. Because scope varies by project complexity — a single-product trailer plant differs from a multi-line OEM sub-assembly facility — the quote is specific to the engagement after a brief intake conversation.
Standard delivery is ten to fifteen business days from receipt of a complete data room. The data room for a transportation equipment manufacturer typically includes equipment specifications, any customer or OEM contracts, the capital budget with vendor support, and historical or comparable financial data. Rush delivery is available when a lending deadline requires a shorter window.
Three factors distinguish this project type: revenue concentration when a single OEM or fleet customer represents most of the volume; tooling amortization tied to a program life that may not renew; and end-market cyclicality, because commercial vehicle and trailer demand moves sharply with freight cycles. A credible study addresses all three explicitly rather than presenting a single base-case projection.
The compliance frameworks differ. SBA engagements are prepared to SOP 50 10 8; USDA engagements follow RD Staff Instruction 5001, which adds rural-impact documentation — job creation, wage levels, and local economic effect — that SBA does not require in the same form. Studies are prepared to the specific program standard the lender identifies at engagement, and the two are not interchangeable without revision.
Market-derived demand is acceptable when it is built from countable evidence: vehicle registration series, fleet-replacement cycles, freight-tonnage trends, and competitive-supply analysis from trade directories and business registries. The study states the conditions under which the market absorption conclusion holds and identifies the utilization threshold at which coverage breaks. A startup with no contracts carries more analytical burden, and the study reflects that honestly.
No study guarantees loan approval, and any representation to that effect should be treated as a disqualifying red flag. A feasibility study prepared to SBA or USDA standards documents the evidence, tests the assumptions, and states whether the project appears feasible under defined conditions. Credit approval is the lender’s and agency’s determination, made on the full credit file of which the feasibility study is one component.
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Wert-Berater, Inc. is an independent provider of feasibility studies and other related services. The firm does not provide financing or equity investment advice, and does not arrange, broker, or place debt or equity capital of any kind.
All appraisal assignments are performed by Bruce E. Jones, MAI, ASA-GC, BCA, CMEA, a member of the Appraisal Institute since 2006, a staff member of Wert-Berater, Inc. and owner of Special Purpose Realty Valuation.