Cocoa Butter and Powder Prices: Ratios and Grinding Margins Explained
7 min read · Public
Understand butter and powder ratios, processing economics and cocoa demand with worked examples. See why a stronger ratio does not automatically mean higher profit.
Cocoa beans do not have just one downstream market. Butter and powder help explain why processing demand can behave differently from chocolate-sales headlines, and why a rising product-price ratio does not automatically mean processors are earning more money.
This guide explains the relationship, then uses deliberately simplified examples to show which calculations are useful and which conclusions go too far. No example below is a current product quote or an estimate of a particular company's margin.
From beans to different products
The ICCO's processing explanation describes beans being cleaned, roasted and separated into nibs, then ground into cocoa liquor. Pressing liquor separates cocoa butter from cake, which can be processed into powder. Liquor can also be used in chocolate production rather than following that pressing route. Despite its name, cocoa liquor is not an alcoholic drink.
For market research, this means butter and powder belong in the same processing discussion. They are not independent crops that can be harvested separately. Buyers may want different amounts of the resulting products, so the value of the combined output matters when assessing a pressing operation.
What is the delivered input cost, grade and delivery date?
Liquor produced
Is it sold, used in chocolate or pressed further?
Butter and cake produced
What quantities and qualities can be sold?
Powder supplied
Are orders consumption-led, restocking-led or unknown?
Cash received
What costs and financing sit between sale value and profit?
What a butter or powder ratio means
A product-price ratio compares the price of a cocoa product with a bean-price benchmark. For a simple same-currency, same-unit comparison, divide the product price per tonne by the bean benchmark per tonne. A butter price of £8,000 against beans at £4,000 gives a ratio of 2.0. It does not mean one tonne of beans produces two tonnes of butter.
Before comparing two quoted ratios, check the product specification, location, delivery period, currency and bean benchmark. A ratio based on a London contract is not automatically comparable with one based on a different New York delivery month. The ICCO's July 2018 review illustrates separate butter and natural-powder ratios against the London and New York markets. That historical publication is a reference for the method, not a source of today's prices.
Ratios have a numerator and a denominator. In this invented example, butter falls from £10,000 to £9,000 per tonne while beans fall from £5,000 to £4,000. Butter is cheaper, but its ratio rises from 2.0 to 2.25 because the bean benchmark fell faster.
Measure
Starting example
Later example
Change
Butter per tonne
£10,000
£9,000
-10%
Bean benchmark per tonne
£5,000
£4,000
-20%
Butter/bean ratio
2.00
2.25
+12.5%
Calling that ratio move a 12.5% rise in butter prices would be incorrect. It would also be premature to call it a 12.5% increase in processor profit. The calculation has not included output quantities, powder revenue, delivered bean costs or operating expenses.
When reading a headline about stronger ratios, write down both underlying prices. If only the ratio is available, retain that limitation rather than inventing the missing cash prices. A change driven largely by the denominator tells a different story from a product price rising while beans are stable.
A simplified processing-value example
To demonstrate the arithmetic only, assume a hypothetical operation purchases one tonne of beans for £4,000 and ultimately sells 0.40 tonnes of butter and 0.40 tonnes of powder. These are chosen teaching assumptions, not standard industry yields. The remaining mass is not treated as saleable output in this simplified model. Actual yields depend on the process and product specification.
Assume butter sells for £8,000 per tonne and powder for £4,000. Butter revenue is 0.40 × £8,000 = £3,200; powder revenue is 0.40 × £4,000 = £1,600. Combined revenue is £4,800. Subtracting only the £4,000 bean cost leaves £800 before all other costs.
Item
Calculation
Illustrative value
Butter sales
0.40 tonnes × £8,000
£3,200
Powder sales
0.40 tonnes × £4,000
£1,600
Combined output sales
£3,200 + £1,600
£4,800
Bean input cost
1 tonne × £4,000
£4,000
Difference before other costs
£4,800 - £4,000
£800
The £800 is not net profit. Energy, labour, freight, packaging, finance, hedging, storage and other costs have not been deducted. Nor have we modelled the timing of purchase contracts or product sales. A current futures quote need not equal the cost of beans already contracted by a processor.
Now reduce only the hypothetical powder price to £2,500. Powder sales become £1,000 and combined sales £4,200. The difference over bean cost falls to £200, even though the butter price and butter ratio have not changed. This is the practical reason to look at both output streams rather than relying on one attractive ratio.
Why grindings do not settle every demand question
Processing activity is useful evidence, but the next question is where the resulting products go. A hypothetical increase in production can supply higher customer usage, replenish depleted product stocks or build unsold inventory. The same grinding increase can therefore coexist with different downstream conditions.
Ask what additional observation would distinguish those cases. Repeat orders and comparable sales volumes would be relevant to a sustained-usage explanation. Explicit customer restocking commentary would support a replenishment explanation. Rising unsold product inventories would raise a different question about the durability of processing activity.
Do not add butter tonnage and powder tonnage to bean grindings when estimating total cocoa demand. These are stages or outputs of processing, not necessarily separate quantities of beans consumed. Similarly, one company's ingredient sales and an industry grinding total can overlap. Check definitions before aggregating them.
Use the grindings overview for dated regional evidence and the company-earnings guide for a framework that separates volume, selling prices and customer inventories.
What this can tell a cocoa trader
A useful market note connects observations without pretending to know every processor's economics. For example: product ratios have improved on the stated benchmark, but the cash-price components and operating costs are not available, so profitability remains uncertain. That is more informative than claiming that one ratio guarantees a surge in bean buying.
The timing matters too. A possible improvement in the economics of future processing is different from a confirmed order today. Look for subsequent physical evidence and comparable processing reports. Then compare the interpretation with warehouse inventories and port arrivals, keeping stock balances and flows separate.
Product-price research checklist
Record the date, currency, delivery period and product specification.
Identify the bean benchmark used in each ratio.
Check whether the ratio changed because of the product price, bean price or both.
Include both butter and powder when discussing a pressing operation.
Distinguish estimated output value from operating profit and cash flow.
Label missing yields, costs and contract terms as unknown.
Look for follow-up evidence before turning a possible incentive into a claimed transaction.
Additional reading context
The processing description draws on the ICCO FAQ; the ratio reference is explicitly historical. All prices, yields and arithmetic scenarios in this guide are original illustrations, not live data or industry margin benchmarks. The examples explain relationships and do not predict futures direction.
Published research and personal commentary, not personalised investment advice. Trade ideas can fail; evaluate the assumptions and dated follow-ups. The original published post is preserved.