Harvest and further-processing plants live or die on throughput, live supply and offtake — the three things a lender and a grant reviewer both test first.
Every protein processing file comes down to throughput, live supply and offtake. Throughput is what the line can actually run at, allowing for shift structure, labour availability, downtime and the yield of the specific species and cut mix. Live supply is whether the animals exist within a haul radius that does not destroy the margin. Offtake is whether someone has agreed to buy the product at a price the model assumes.
Small and mid-sized plants fail on the second and third far more often than the first. A plant sized to a regional shortage of harvest capacity still needs producers committed to filling the schedule week after week, and a buyer base beyond the founding sponsors. We evidence both: producer inventories and herd or flock data within the haul radius, existing plant capacity competing for the same animals, and letters, contracts or documented buyer relationships behind the sales plan — with the gap stated plainly where the offtake is aspirational.
Whether the plant operates under federal FSIS inspection, a state Meat and Poultry Inspection program operating under a cooperative agreement, or a custom-exempt arrangement determines where the product can be sold, and therefore what the revenue line is allowed to assume. A model that prices product into interstate commerce from a facility whose inspection pathway does not permit it is not a pricing error; it is a viability error.
We take the inspection pathway as a scoped input: current status or the application stage, the requirements outstanding, the timeline the sponsor faces, and the effect of each pathway on addressable markets and realised price. Grant-funded expansions carry their own reporting and matching-fund conditions, and where a grant is assumed in the capital stack, its status is disclosed rather than folded silently into sources.
Protein plants are commonly financed with a USDA guarantee, an SBA loan, a processing expansion grant, or a stack of all three. Each reviewer wants the same evidence in a different order. We scope the study to the strictest reviewer in the stack at the outset — the five components of 7 CFR Part 5001 where USDA is involved — so one document satisfies the file instead of three overlapping ones.
Standard delivery is 10 to 15 business days from a complete data room, and the fee is fixed and never contingent on the finding.
A feasibility study for a meat & poultry processing plant must address variables that do not appear in most commercial real estate or light-manufacturing engagements. The scope begins with live-animal supply: how many head or birds per week are contractually committed, how many are within practical haul distance, and whether that supply is seasonal or year-round. It extends through the kill floor, fabrication, further processing, cold storage, and waste-stream handling, each of which carries its own capital and operating cost profile.
Each element feeds a single linked financial model so that a reviewer can isolate any variable and observe its effect on coverage without leaving the workbook.
Demand analysis for a processing plant operates on two distinct tracks that must reconcile before the revenue projection is credible. The first track is live-supply demand: how much processing capacity the regional producer base needs and cannot currently access. The second track is offtake demand: whether buyers exist for the volume the plant will produce at the price the model requires.
On the supply side, the analyst draws on USDA National Agricultural Statistics Service livestock inventory data, state department of agriculture producer registries, and Farm Service Agency program enrollment records to estimate the catchment population of producers by species and scale. Existing licensed competitors are identified through USDA FSIS establishment databases, which are public and searchable by species, inspection type, and county. Capacity utilization at competing plants is inferred from FSIS inspection records, state environmental discharge permits, and, where available, utility interconnection or water-service agreements that indicate operating scale.
On the offtake side, the analyst reviews executed letters of intent, distributor agreements, and retail or foodservice purchasing commitments provided by the borrower, then benchmarks the implied pricing against USDA AMS mandatory price-reporting data for comparable cuts and grades. Trade association data from organizations such as the North American Meat Institute provides context on regional processing capacity trends without substituting for primary documentation. The two tracks are stress-tested independently so a lender can see what happens if supply lags or offtake pricing softens.
Four inputs account for the majority of coverage-ratio movement in a processing plant model. Identifying them early, and testing each across a realistic range, is the core analytical task. A study that does not isolate these variables does not give a credit officer actionable information.
SBA 7(a) and 504 lenders reviewing a meat or poultry processing project apply SOP 50 10 8 coverage minimums of 1.15x at the operating level and 1.00x on a global basis. Because processing plants carry high fixed costs and meaningful revenue concentration risk, lenders typically want to see that coverage holds at the 10-percent downside sensitivity before they consider the base case credible. The study must demonstrate that the borrower's global cash flow — including any other business or real estate obligations — does not erode the cushion the operating entity appears to provide.
USDA Rural Development engagements under Business & Industry or Value-Added Producer Grant programs require compliance with RD Staff Instruction 5001. For meat and poultry projects, the agency pays particular attention to the grant-of-inspection status: a plant that has not yet received USDA FSIS inspection authority cannot legally operate as a federally inspected facility, and the study must address the timeline and contingency if inspection is delayed.
Conventional lenders, who typically require 1.20x coverage, focus heavily on customer concentration. A plant whose revenue depends on one or two offtake contracts presents a different risk profile than one with diversified buyers, and the study must quantify that concentration explicitly. All three audiences — SBA, USDA, and conventional — expect ratio analysis benchmarked against RMA and IBISWorld data for the relevant NAICS code so the subject's margins can be compared to industry peers without relying solely on the borrower's projections.
The fixed fee for a meat & poultry processing plant feasibility study is quoted within one business day of an initial inquiry. Because the fee is fixed and not contingent on the finding, the analyst has no financial incentive to reach any particular conclusion. That structure is the foundation of the fiduciary duty Wert-Berater, Inc. owes to the lender and the reviewing agency rather than to the borrower.
Standard delivery is 10 to 15 business days from the date a complete data room is received. A complete data room for this asset class includes three years of historical financials or, for startups, a detailed cost-build and evidence of live-supply commitments; executed or draft offtake agreements; equipment specifications and vendor quotes; facility plans or lease terms; environmental permits or permit applications; and the USDA FSIS establishment number or grant-of-inspection application status. Incomplete data rooms extend the timeline; the engagement clock does not start until the room is complete.
The deliverable is a bound narrative report, a ten-year pro forma, sensitivity analysis at plus/minus 5, 10, and 15 percent of key revenue and cost drivers, interest-rate stress from plus 0.5 to plus 3.0 percent, RMA- and IBISWorld-benchmarked ratio analysis, and an explicit statement of conditions. The fully linked Excel workbook is published to a secure client portal where it remains live: a reviewer can change any input — line speed, kill-fee rate, labor cost per head — and watch every downstream ratio recalculate in real time. Rush delivery is available when the data room is complete and the timeline is discussed at the time of engagement.