How to calculate cost per kg on a coffee estate — properly

Why most estates get this number wrong

Ask an estate owner what their cost per kg was last season, and most will give you a number. Ask how they arrived at it, and the answer is usually some version of: "total expenses divided by total production." That calculation is not wrong — but it is incomplete, and it is usually approximate.

The problem is not the formula. The problem is what goes into "total expenses." Most estate owners capture picking wages and mestri commissions reasonably well. Transport costs are usually included. But processing costs — drying, hulling, roasting — are frequently excluded, estimated, or lumped together in a way that makes the final number misleading.

A more precise cost per kg changes decision-making. Which bit is worth picking at low cherry density? At what price does selling cherry make more sense than processing? These questions require a number you can trust.

A cost per kg figure is only as good as the expenses that went into it. If processing costs are missing, the number is flattering — and useless for decisions.

Stage 1 — Picking cost per kg

This is the most variable cost and the one most estates track with the most care. The picking cost per kg for a given session is:

This is the number most estates mean when they say "cost per kg." It's useful for day-to-day comparison — which sessions were efficient, which weren't. But it's only the first stage of a longer calculation.

One important nuance: picking cost per kg varies by estate-bit. A bit with high cherry density yields more kg per worker per day, bringing picking cost per kg down. A sparse bit may have twice the cost per kg for the same picking rate. Without tracking this by bit, these differences are invisible.

Stage 2 — Drying cost

Once cherry is picked, it needs to dry. Drying costs are often treated as a fixed overhead rather than a per-kg cost, but they can and should be attributed per batch.

Drying cost components typically include: labour for turning and monitoring the beds, infrastructure cost (amortised over the season), and any losses due to over-drying or weather damage. The relevant output number is the dried parchment weight — which becomes the denominator for calculating drying cost per kg of dried output.

A batch that loses more moisture than expected (or has more defects removed) will have a higher cost per kg of dried parchment. Tracking this per batch over a season reveals whether drying practices are consistent or whether certain beds or periods are producing disproportionate losses.

Stage 3 — Hulling and processing

At the hulling stage, parchment becomes green (cleaned) bean. The key metric here is the hulling outturn ratio — how many kg of clean bean you get per kg of parchment input. Industry averages in Coorg range from 65–75%, depending on variety and processing method.

Hulling costs: labour at the hulling facility, hulling machine fees (usually per quintal of output), transport to and from the hulling location. These should be attributed to each batch by output weight.

If your estate roasts before sale, add roasting cost the same way: labour, fuel, equipment cost — attributed per kg of roasted output.

The full cost per kg — a worked example

Consider a season with the following numbers:

The picking cost alone would show ₹20/kg cherry — which sounds low. The all-in cost per kg of sellable clean bean is ₹160.65 — which is the number that actually matters when a buyer offers you ₹180/kg.

The gap between "picking cost per kg" and "all-in cost per kg of clean bean" is where most plantation accounting goes wrong. Both numbers are useful. Only one tells you whether you made money.

Why tracking this manually fails at scale

With ten or twenty picking sessions a week, multiple estate-bits, and a processing chain that runs over several months, the manual aggregation required to produce accurate per-kg costs is enormous. Each picking session needs to be summed. Each drying batch needs to be linked back to the picking sessions that filled it. Each hulling batch links to the drying batches. And so on down the chain.

Most estate owners give up partway through this process and produce an approximate figure at the end of the season. The approximation is usually close enough to know whether the season was profitable — but not precise enough to know which bits were profitable, which sessions were efficient, or where costs can be reduced next year.