How a consultant separates fee income from merchandising margin, models throughput against a draw area that includes on-farm storage, and builds a lender-grade projection for SBA, USDA, and conventional grain handling financing — in a business whose storage economics depend on a futures market structure the operator does not control.
The distinction that determines the credit
A grain elevator looks simple: hold grain, charge for holding it. The revenue structure is considerably more layered, and the layers carry entirely different risk.
Fee-based revenue. Storage charges, drying, handling and elevation, and blending where the capability exists. The elevator is selling a service. Revenue is a function of physical volume moving through the facility, and there is no commodity price exposure.
Merchandising margin. The spread between what the elevator pays for grain and what it sells it for, including basis appreciation and carry. The elevator owns the commodity and takes the price risk.
For many country elevators, merchandising generates the larger share of profit. That does not make it the appropriate basis for a coverage projection.
A lender is financing a building, a leg, dryers and bins. A merchandising line in the pro forma asks them to underwrite a trading operation with a different risk profile, different capital requirements and different management skill. The defensible structure is that the facility covers debt service on fee-based income — storage, drying, handling — with merchandising identified separately, sensitised hard, and treated as upside.
A project that only covers when merchandising margin is included is asking a lender to take market risk they did not price for. Saying so is the consultant's job.
Storage only pays when the market pays for it
This is the structural risk that separates grain handling from almost every other asset class, and it is routinely absent from feasibility studies in this sector.
An elevator earns money storing grain when the futures market is in carry — when deferred contracts trade above nearby ones, compensating the holder for time. When the market is inverted, with nearby contracts above deferred, the market is signalling that it wants grain now, and holding it destroys value.
Inversions are not rare. Industry analysis has documented consecutive years of inverted grain and oilseed markets that challenged many elevators to earn a profit in their grain divisions at all. The market structure then reverted, with carries returning and buy basis falling to more normal levels, materially improving the storage outlook.
The elevator controls none of this. Carry structure is set by global supply, demand and interest rates. A facility can be well built, well located and well managed and still face a multi-year period in which its storage economics do not work.
What this requires of the consultant: the projection should show coverage across both market structures, not only the favourable one. A study that models storage revenue at rates achievable in a carry market, without testing what happens in an inversion, has ignored the sector's defining cyclical risk. The sensitivity is not optional here — it is the analysis.
The cost of carry, and why interest rates matter more than they look
Financing grain inventory is a major cost for any elevator that owns bushels. Interest expense as a share of the total cost of carry varies by operator and crop year, but industry analysis places it commonly at one-quarter to one-third or more of an elevator's total cost of storing grain and oilseeds.
When rates rise, that cost rises against commodity values that are frequently also elevated, compounding the squeeze. Elevators facing that pressure typically respond by lowering local bids and widening basis — which is a rational commercial response and also a competitive risk, since a neighbouring facility with a stronger balance sheet may not need to.
For a feasibility model this has two consequences. Interest cost on inventory belongs in the operating model, not only in the debt service line. And the sensitivity on interest rates should test both the facility's own debt and the cost of carrying grain.
Scale economics are severe
Grain handling shows substantial economies of scale, and a small facility's unit costs are dramatically higher than a large one's.
Academic work in this area has estimated per-bushel handling costs ranging from roughly $0.27 per bushel for an elevator handling 1.75 million bushels of annual throughput down to around $0.073 per bushel at 17.5 million bushels — a near fourfold difference driven almost entirely by volume. The absolute figures reflect the study period and should be updated to current cost levels, but the shape of the curve is durable and it is the important part.
The implication for a feasibility study is direct: a small facility must charge more per bushel or accept thinner margin, and it cannot assume the cost structure of a larger competitor. Benchmarking a proposed 2 million bushel facility against published margins from a 15 million bushel operation produces a projection that will not be met.
Capacity is not bushels
The most common modelling error in this sector is computing revenue as storage capacity multiplied by a storage rate multiplied by twelve months.
That assumes the facility fills once and holds all year. Real facilities fill at harvest, draw down through the marketing year, and — if well positioned — turn multiple times. Revenue is a function of throughput, not of capacity, and turns must be evidenced rather than assumed.
There is a second, subtler version of the same error. An elevator can have capacity, favourable carry and adequate basis and still not have grain, because farmers decide when to sell. Industry analysis has documented periods in which elevators faced exactly this: improved margins available, and insufficient ownership of bushels to capture them, because producers flush with cash were content to hold.
A projection assuming the facility acquires grain on demand has assumed away the counterparty's decision.
What the consultant actually does
Defines the draw area by haul economics
Grain moves by truck to the elevator, and the economic haul radius is determined by freight cost against the bid differential a producer can obtain elsewhere. That radius is typically tighter than sponsors assume and varies by crop value.
Quantifies production, with variability
Planted acres by crop within the draw area, trend yields, and actual year-to-year variability rather than a single average. A facility sized to an average year is undersized in a strong year and underutilised in a weak one, and the coverage analysis should reflect the distribution rather than the mean.
Maps competitive supply, including on-farm storage
This is where the analysis most often falls short.
Competing commercial elevators, processors and terminals are the obvious set. On-farm storage is the omitted one, and it is frequently the largest competitor. A draw area where producers have invested heavily in bins is a draw area where substantially less grain moves commercially, and where those bushels that do move arrive on the producer's timing rather than at harvest.
Federal facility loan programmes have supported very substantial additions to on-farm capacity over the last quarter century. Any competitive analysis that ignores it is measuring the wrong market.
Establishes realistic capture
What share of area production the facility can attract, and specifically why. The credible reasons are limited and testable:
- Bid competitiveness, which depends on the facility's own cost structure and market access
- Speed of receipt at harvest, which is frequently the single most decisive competitive factor and is a physical characteristic the study can assess directly — pit capacity, leg speed, queuing, scale throughput
- Hours of operation during harvest
- Rail or river access, particularly unit-train loading capability, which changes freight economics fundamentally
- Relationships, which are real but should not be the whole argument
Builds revenue by line, on throughput
Storage, drying, handling and elevation, blending, and merchandising — each modelled separately with its own driver.
Drying deserves specific care. It is charged by the point of moisture removed and is entirely weather-dependent. A wet harvest produces a strong drying year; a dry one produces almost none. Modelling drying income at a long-run average conceals genuine volatility and overstates the reliability of that line.
Models the seasonal working capital cycle monthly
Grain businesses carry among the most severe seasonal working capital demands in rural commerce. At harvest, an elevator buying grain outlays substantial cash within weeks against receipts spread across the following marketing year.
An annual cash flow model conceals this entirely. Monthly modelling exposes it, and it is where the actual liquidity risk sits. Lenders experienced in agribusiness understand the pattern and will structure seasonal facilities accordingly; lenders new to the sector frequently do not, which is a reason to approach one with genuine agricultural depth.
Assesses management honestly
Operating a facility and merchandising grain are different skills. A producer group or cooperative moving into commercial operation for the first time may be entirely capable of the former and untested at the latter — and where the model relies on merchandising margin, that gap is the credit risk.
The physical questions that drive the numbers
Transport access. Whether the facility can load a unit train changes its freight position and therefore its bid competitiveness. River access does the same on different geography. This is not a facility detail; it is the primary determinant of market access.
Receiving capacity. At harvest, producers deliver where they can unload fastest. Pit capacity, leg speed and queue management are competitive weapons with direct revenue consequences.
Drying capacity, which constrains throughput in wet years precisely when drying income is available.
Aeration, monitoring and quality management. Grain going out of condition is a loss event, and quality management capability belongs in the technical assessment.
Regulatory. Warehouse licensing, bonding and inspection requirements vary by state and by whether the facility stores grain for others. A facility taking in third-party grain has obligations a farm bin does not.
Sensitivity that matters here
- Market structure. Coverage in a carry market and in an inverted one. This should lead.
- Throughput. Coverage at 85% and 75% of projected bushels, reflecting production variability and capture risk.
- Turns. Coverage if the facility cycles fewer times than assumed.
- Drying revenue. Coverage in a dry harvest year with minimal drying income.
- Interest rates, on both facility debt and inventory carry.
- Merchandising removed entirely, to establish whether fee income alone services the debt.
That last one is the test a lender will run whether or not the study includes it.
How the programmes differ
SBA 7(a) and 504. Available for commercial grain handling within programme limits, with 504 applying where real estate is included. Note that grain facilities are capital-intensive and frequently exceed the 7(a) ceiling, which pushes larger projects toward 504 or USDA.
USDA B&I. For rural projects in communities of 50,000 or fewer, up to $25 million, with fiscal 2026 guarantees at 85% below $5 million and 80% at or above. This is core territory — agricultural infrastructure serving rural producers is the programme's purpose, and the economic impact case is genuinely strong.
USDA Farm Storage Facility Loans. Worth naming to distinguish. FSFL is a Farm Service Agency direct loan to producers for on-farm storage under 7 CFR Part 1436, capped at $500,000 for facilities, with no feasibility study required. It is not available to commercial facilities taking in third-party grain, and it is not the programme for an elevator. Sponsors conflate the two regularly, and the $500,000 ceiling settles most cases.
Conventional and Farm Credit System. Agricultural lenders with genuine sector depth understand basis, carry, seasonal working capital and merchandising risk without prompting. A study that addresses those four properly is speaking their language.
In all cases the study must be prepared by an independent third party with no financial interest in the transaction.
What the lender is reading for
- Does it cover on fee income alone? Storage, drying and handling, without merchandising margin. If not, the question is whether the lender is being asked to underwrite a trading business.
- Is revenue built on throughput or on capacity? The distinction is visible immediately and it signals whether the analyst knows the sector.
- Is on-farm storage in the competitive analysis? Its absence is the most reliable indicator of a study written by someone unfamiliar with grain.
- What happens in an inverted market? Because it will happen, probably more than once across a twenty-year term.
- Is the working capital cycle modelled monthly? Because the annual view hides the harvest trough.
Grain handling is durable infrastructure serving a permanent need, and well-positioned facilities are financeable on long terms. But the revenue is more cyclical than it appears, the largest profit line is a trading result rather than a facility result, and the competition frequently sits in a producer's own yard. A consultant's value here is making all three visible before the loan rather than after.
Prepared by feasibility-study-consultant.com. Cost and margin figures cited are structural illustrations drawn from published industry and academic sources and should be updated to current market levels for any specific engagement. Programme requirements should be verified against current SBA and USDA guidance. Last updated: July 30, 2026.