Busy But Not Profitable
in Agriculture & Agribusiness

The short answer

High packing utilisation and thin gross margin is a contract-mix and spot-exposure problem wearing an operations costume. What makes this harder for mixed cropping farms is structural: forward contracts cover 48 percent of revenue locking prices twelve months ahead while 52 percent spot exposure leaves ebitda vulnerable to price and water volatility. Any credible answer therefore has to hold 4,800 hectares and 24.9 percent gross margin in the same view, which is exactly where most internal analysis stops because the two live in different systems.

When a mixed cropping farm runs at 71 percent packing utilisation and still shows only 24.9 percent gross margin, the instinct is to look for waste in field operations or labour. Usually there is some, and removing it will not fix this, because the cause is upstream: the balance of forward contracts covering 48 percent of revenue and 52 percent spot exposure is not aligned with what the 4,800 hectares and groundwater licences actually consume.

The pattern is consistent. Forward contracts lock prices twelve months ahead on part of the crop. The spot portion absorbs the remaining capacity through third-party intake and variable water costs, so the operation feels busy while EBITDA stays exposed. Because the spot work fills the constraint, the forward book cannot be rebalanced and the bank balance reflects the mismatch.

The fix is a selection rule for contracts and intake, not a productivity programme. Once contribution by contract type and by crop can be ranked against packing utilisation and licence limits, most of the decision makes itself.

Mixed cropping operators reach this point when forward contracts cover 48 percent of the $51.8 million revenue while spot sales keep the 4,800 hectares and packing line full. The CFO sees the interest cover at 4.1 times but cannot expand the better contract book because the wrong mix already occupies the capacity.

How to tell this is actually your problem

These three together are the signature. One on its own usually points somewhere else.

✓ Packing utilisation sits at 71 percent while gross margin stays at 24.9 percent and cash remains tight after each spot sale cycle.
✓ The CFO cannot state which combination of forward contracts and spot sales produced the margin last season without a special run.
✓ Additional third-party intake or spot tonnes are accepted even when the contribution after groundwater and packing costs is known to be low.

The move that usually makes it worse. Taking on more forward contracts or expanding hectares to relieve pressure, which locks additional capacity into the same unprofitable mix and moves the problem one size larger.

Who this is for — and who it is not

It is for you if you run or finance a mixed cropping farm and everyone is fully occupied and cash is tight. It is the situation where the numbers are available but nobody has put them in an order that produces a decision.

It is not for you if Percision is the wrong tool if you already know the answer and only need execution capacity, or if the business is pre-revenue — then the constraint is evidence about the market, not analysis of your own figures. Percision is not a lawyer, tax advisor, auditor, licensed appraiser, clinical or regulatory filer, or an AI implementation shop. It does not do HR casework, creative-only brand work, or impersonate a named consulting firm. It is a strategy analysis engine — not a template library. Also wrong if you need facilitation, politics, or someone to sit with a lender or buyer. Those are human jobs.

Percision is not a lawyer, tax advisor, auditor, licensed appraiser, clinical or regulatory filer, or an AI implementation shop. It does not do HR casework, creative-only brand work, or impersonate a named consulting firm. It is a strategy analysis engine — not a template library.

What this looks like when the analysis is actually run

Below is an excerpt from a real run of this analysis on a mixed cropping farm. It is a sample profile rather than a customer, and it is unedited engine output — this is the format you get, on your own numbers.

The subject is Halloway Fields Group, a sample company profile used for testing rather than a customer — $51.8 million revenue from 4,800 hectares.

This is one move out of a full analysis. Read a complete report — every page, no email required.

What the engine does with this question

This question routes to Proprietary EFF Methodology, one of 29 engagements the platform runs. For mixed cropping farms it works through 4,800 hectares, 24.9 percent gross margin, 71 percent packing utilisation and 4.1 times interest cover, then produces the sequence rather than a list of options — which move first, what it funds, and the observation that would say the sequence is wrong.

You watch the analysis get built before paying anything. Read a complete report here if you would rather see the depth first.

Questions people ask about this

How do I know which work to stop taking?

Rank by contribution per unit of your real constraint — machine hour, billable hour, delivery slot, square foot. Not by revenue, and not by gross margin percentage, both of which reliably favour the wrong work when the constraint is capacity.

Will turning away work damage the relationship?

Sometimes, and it is usually cheaper than the alternative. In practice a price that reflects what the work consumes either makes the account profitable or moves it to a competitor, and both outcomes are better than the current one.

Is this a pricing problem or an efficiency problem?

Test it: if every job ran perfectly with zero waste, would the thin ones make money? If the answer is no, it is pricing and selection, and no efficiency programme will reach it.

Is this different in agriculture & agribusiness than in other industries?

Materially, yes. Forward contracts cover 48 percent of revenue locking prices twelve months ahead while 52 percent spot exposure leaves ebitda vulnerable to price and water volatility — which changes both the diagnosis and the order of the fixes. The metrics that decide it here are 4,800 hectares, 24.9 percent gross margin, 71 percent packing utilisation, and an answer built on industry-general benchmarks will usually point at the wrong one first.

What data do I need before this analysis is worth running for a mixed cropping farm?

Less than most people expect. Your last twelve months of revenue and cost split the way you already split it, plus whatever you hold on 4,800 hectares and 24.9 percent gross margin. The analysis is explicit about what it is assuming where your data stops, which is more useful than waiting for numbers you may never have.

When is Percision the wrong tool?

Percision is the wrong tool if you already know the answer and only need execution capacity, or if the business is pre-revenue — then the constraint is evidence about the market, not analysis of your own figures. Percision is not a lawyer, tax advisor, auditor, licensed appraiser, clinical or regulatory filer, or an AI implementation shop. It does not do HR casework, creative-only brand work, or impersonate a named consulting firm. It is a strategy analysis engine — not a template library. Also wrong if you need facilitation, politics, or someone to sit with a lender or buyer. Those are human jobs.

Does Percision replace a lawyer, tax advisor, auditor, or AI implementation team?

Percision is not a lawyer, tax advisor, auditor, licensed appraiser, clinical or regulatory filer, or an AI implementation shop. It does not do HR casework, creative-only brand work, or impersonate a named consulting firm. It is a strategy analysis engine — not a template library.