Monthly update published: 2 October 2026 · Prices measured: September · Explained on 12 October. The World Bank’s commodity update reports a 25.7% increase in its energy price index during September, while the non-energy index rose 1.3%. The difference is the important part of the event: the shock was uneven across commodity groups, and the transmission to households and businesses depends on what they actually buy or sell.
The September figures show the unevenness
The update reports food prices rising 3.8%, industrial metals broadly stable at +0.4%, precious metals easing 1.9% and beverages declining 4.6%. The comparison below includes aggregate groups and selected components. These monthly changes should not be added together to create an overall commodity return.
Selected September commodity-price changes
monthly % change
| Label | Value (monthly % change) |
|---|---|
| Energy index | 25.7 |
| Non-energy index | 1.3 |
| Food | 3.8 |
| Industrial metals | 0.4 |
| Precious metals | -1.9 |
| Beverages | -4.6 |
A group index summarises its own basket. The effect on a company with a different input basket can be much larger or smaller. A manufacturer that uses energy intensively may experience a different cost signal from a business primarily exposed to the metals or agricultural categories shown here.
Do not mix the monthly update with an older forecast
The World Bank’s page also presents its April 2026 annual outlook. That is a separate forecast with its own publication date and horizon. A September price observation published in October should not be described as a newly issued annual forecast merely because the two items appear on the same web page.
Observed monthly changes, year-on-year changes and forward forecasts all have legitimate uses, but they answer different questions. The first describes what happened over a particular month. The second compares with a year-earlier level. The third describes an expected future path under assumptions. Keep those labels visible when writing market analysis.
The delivered-cost bridge into India
An international commodity quote is not the final amount a business pays in rupees. The delivered cost can include currency conversion, shipping, insurance, handling, taxes and contract terms. Inventories and hedges can also delay or change the cost recognised in a particular accounting period.
For a simple example, suppose a dollar-denominated input rises 20% while the number of rupees needed to purchase a dollar rises 5%. Ignoring the other costs, the rupee price rises by 1.20 × 1.05 − 1 = 26%. The two changes multiply. Adding 20% and 5% would miss the cross-effect.
The following chart is a calculation using invented assumptions, not September’s reported currency move or the actual cost change at any company. It isolates one reason global and local cost headlines can differ.
International price and currency can compound a cost move
% · Illustrative data
| Label | Value (%) |
|---|---|
| Dollar input-price change | 20 |
| INR-per-dollar change | 5 |
| Combined rupee-cost change | 26 |
Producer economics and customer economics
A commodity producer can benefit from a higher realised price if output, costs and contractual terms allow it. But its own energy, transport or financing costs can also rise. A higher selling price is not sufficient evidence of a proportional increase in profit.
A customer faces the reverse question: how much of the cost increase can it pass through, and how quickly? Businesses with strong pricing power, contractual escalation clauses or low input intensity may respond differently from businesses competing on price with limited flexibility. The timing of sales and purchase contracts can create a temporary lag.
For a refiner or processor, input and output prices move together but not necessarily by the same amount. The relevant spread can improve even when the input becomes more expensive, or narrow when the output price fails to keep pace. A single commodity-price chart cannot settle that calculation.
| Business position | Potential route | Evidence needed |
|---|---|---|
| Commodity producer | Realised selling price and output | Volumes, costs and contract exposure |
| Input-intensive manufacturer | Delivered cost and pass-through | Input mix, inventory and selling prices |
| Processor or refiner | Input-output spread | Product margins and operating utilisation |
| Retail consumer business | Household purchasing power | Demand, pricing and product mix |
What the shock can mean for inflation
Higher commodity prices can transmit through fuel, freight and manufactured products. But consumer inflation uses a different basket and is affected by domestic supply, policy and pricing decisions. A 25.7% energy-index move should not be read as an equal increase in an Indian household’s overall living cost.
The speed of transmission can also vary. Some costs reset frequently, while others reflect earlier purchases or regulated pricing. A household may feel one part of the shock before the full chain appears in an inflation release. That timing difference can make market prices and published economic data look temporarily disconnected.
The next evidence should test persistence
A temporary spike that reverses can create a different earnings outcome from a sustained higher cost level. Follow subsequent monthly data, the availability of supply and the operating updates of exposed companies. Compare both the rate of change and the level relative to the business’s earlier purchase prices.
There is no need to attach an unsupported probability to every path. A persistent-pressure case would show costs staying high and incomplete pass-through. A relief case would show improved supply or softer prices alongside stable demand. The observation that separates the cases is more useful than a confident number without a model.
The September update gives readers a precise, dated starting point. Its deeper message is the diversity of exposures: energy, food, metals and beverages did not move together. A useful investment article follows those differences into cash flows, costs and household demand rather than treating the entire commodity universe as one trade.
Explore the World Bank’s dated commodity data ↗
Cover: AI-generated editorial image. Monthly changes are reported data; the rupee-cost illustration uses hypothetical inputs.