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. Concrete, masonry, glass, and building-component plants are analyzed on construction activity within the economic delivery radius, plant-capacity economics, and the public-infrastructure demand component that stabilizes private-cycle exposure. 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, construction put-in-place and permit 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 construction materials manufacturing study is not a repurposed market report. It is a project-specific analysis built around the plant's production model, its delivery economics, and the demand base within the radius it can serve competitively. The scope is fixed at engagement start and does not narrow to produce a favorable finding.
Demand for a construction materials plant is geographically bounded in a way that distinguishes it from most manufacturing categories. Because haul cost is a meaningful share of delivered price for heavy or bulk materials — concrete, masonry block, structural components — the trade area is defined by logistics economics before a single demand figure is counted. Expanding the radius to inflate demand is a common sponsor error that a credible study does not make.
Within the defined trade area, demand is assembled from multiple independent series rather than a single source. Residential building-permit data from the Census Bureau permit survey provides a current and lagged read on housing-driven demand. Nonresidential construction put-in-place series from the same source covers commercial and industrial activity. State and local transportation-improvement programs, published bid lettings, and public-works award databases document the infrastructure component that partially offsets private-cycle volatility. State contractor-licensing registries and secretary-of-state filings help identify active competitors and their operational status. Trade-association shipment and capacity data, where available for the specific product category, provides a cross-check on local figures. For specialty building components, distributor and dealer networks within the trade area are mapped to identify existing supply relationships the plant would need to displace or supplement. Each source is cited; no figure is presented without its origin.
A construction materials plant carries a cost structure that is simultaneously capital-intensive and input-volatile, which concentrates underwriting risk in a small number of variables. Identifying those variables and stress-testing them explicitly — rather than burying them in a blended assumption — is the analytical work that separates a study a lender can rely on from one that reads well but does not hold under scrutiny.
SBA, USDA, and conventional lenders each bring a distinct lens to a construction materials manufacturing credit, and a study prepared for one program without regard to the others creates review problems when the deal is structured across multiple sources.
SBA reviewers applying SOP 50 10 8 focus on the 1.15x operating and 1.00x global coverage minimums and on whether the demand analysis supports the revenue assumption at the utilization level the model requires to clear those thresholds. For an owner-occupied plant financed under SBA 504, the real-property and equipment components are evaluated separately, and the study must support both.
USDA Business & Industry reviewers apply RD Staff Instruction 5001 and weight job creation, wage levels relative to the local median, and rural economic impact alongside repayment. A concrete or masonry plant in a rural market often aligns well with B&I program purpose because it creates skilled-trade employment and reduces the cost of local construction by shortening supply chains. The study documents those effects explicitly to the standard the program requires, not as a narrative add-on but as a structured section with sourced figures.
Conventional lenders typically require 1.20x coverage and focus on collateral adequacy alongside cash flow. Specialized manufacturing equipment depreciates and becomes illiquid quickly; the study addresses collateral concentration and the degree to which enterprise value depends on a single product line or a narrow customer base.
The engagement begins with a fixed, quoted fee returned within one business day of inquiry. The fee does not change based on the finding, and no portion of it is contingent on loan approval or a favorable determination. That structure is not a policy preference — it is the condition under which an independent determination is possible. A study whose fee depends on the outcome is not independent, regardless of what the cover page says.
Standard delivery is 10 to 15 business days from receipt of a complete data room. The data room for a construction materials plant typically includes the site location and proposed trade area, equipment specifications and vendor quotes or budgets, any executed or letters-of-intent supply agreements, the ownership and management structure, existing financial statements if the sponsor operates a related business, and the lender's stated coverage standard and program. Rush delivery is available when the credit timeline requires it.
On delivery, the bound narrative report and fully linked Excel model are published to a secure client portal. The financial model remains live: a reviewer can change any input — utilization rate, commodity price, interest rate, capital cost — and every output recalculates instantly because no value is hardcoded. The engagement closes with an explicit statement of conditions documenting what would have to change for the determination to change, which is the form in which an honest conclusion is expressed for a project with forward-looking assumptions.
The fee is fixed and quoted within one business day of inquiry. It does not vary based on the finding, and no portion is contingent on loan approval. Because scope, data complexity, and program requirements differ by engagement, the firm quotes each project individually rather than publishing a schedule. Contact the firm with the project type, location, loan program, and lender to receive a same-day quote.
Standard delivery is 10 to 15 business days from receipt of a complete data room. The clock starts when all required project information is in hand, not at engagement signing. Rush delivery is available when the credit timeline is compressed. Incomplete data rooms are the most common cause of delay; the firm provides a checklist at engagement start to prevent that.
Three factors concentrate the risk. First, revenue is bounded by a delivery radius that cannot be expanded without destroying the unit economics, so the demand base is finite and local rather than national. Second, input costs — cement, aggregate, energy — move independently of output pricing, compressing margins when commodity cycles turn. Third, utilization ramp in a market with established competitors is slower than sponsors typically project, which creates coverage shortfalls in years one and two that the model must address explicitly.
The programs have different documentation requirements. USDA RD Staff Instruction 5001 requires explicit treatment of job creation, wage levels, and rural economic impact that SBA SOP 50 10 8 does not mandate in the same form. A study prepared only to SBA standards will typically require supplementation for a B&I submission. Wert-Beraber prepares each study to the specific program standard the lender identifies at engagement start.
The core data room includes the proposed site location and trade area, equipment specifications and capital budget (vendor quotes or engineer estimates), any executed supply or offtake agreements, the ownership and management structure with résumés, existing financial statements if the sponsor operates a related business, and the lender's stated program and coverage standard. The firm provides a complete data-room checklist within one business day of engagement.
No. A feasibility study is an independent analytical determination, not an approval instrument. It documents whether the evidence supports the project's financial viability under the assumptions stated and tested. The lending agency or institution makes its own credit decision. A study that represents itself as a path to guaranteed approval is not independent, and agencies and experienced lenders recognize the difference.
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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.