The power of cost curves

GlobalData recently released its global coal cost curves. These cost curves are generated by estimating the operating costs of each individual coal mine; the height of each bar represents the cost per tonne of production, while the width represents the total yearly production of coal at that mine. These cost curves reflect the overall efficiency of each operation and are a useful tool to analyse coal operations in terms of where they sit against their competitors. They also provide a quick way to understand each operations&rsquo; operating profit margin (or loss), either by overlaying a price line or deducting the operating cost from a standard price and creating a margin curve. These curves are predominately used by the financial sector, particularly for M&amp;A transactions and debt and equity financing. For instance, Anglo American is currently selling all of its metallurgical coal operations. We can highlight its metallurgical coal operations on a curve, and see how competitive they are. Similarly, these curves are often included in Rule 144A Debt offering memorandums when raising capital in the US. Figure 1. 2015 Global metallurgical cost curve. However, at GlobalData, we have found more suppliers to the mining industry are now interested in this data, so that they can better target their business development team. For example, some lubricant suppliers are using these curves to demonstrate how the adoption of their products can reduce operating costs and hence make a mine more competitive. Similar analysis has been done to demonstrate the advantages of surface miners over traditional truck and shovel operations. Cost estimation research determines each operation&rsquo;s costs of production on a basis that can be compared with other operations. Relative mining and processing cost differentials between mines are largely a function of the size and scale of the operation, process methods, energy and in-country labour costs, and the operating efficiency of the site. GlobalData&rsquo;s cost analysis is a hybrid approach which uses proprietary cost estimation models with results reconciled to data obtained from company reported financial statements. For each mine, we provide:Mining costs, the cost of extracting the run of mine ore from the deposit. Process costs, which is the essentially the washing costs for coal. Administration costs. Royalties.Land transport, typically rail freight.Port charge (the cost a coal terminal charges the producer to load coal).The following curve is a 2015 global metallurgical curve. The curve covers 150 metallurgical coal operations accounting for over 340 million t of metallurgical coal production globally, the majority of which is export production. Overall 30 companies have been included, ranging from the large producers, such as BHP Billiton, Anglo American and Teck Resources, to smaller players, such as Whitehaven, and large steel producers, such as Arcelor Mittal.About the authorCliff Smee is the Head of Analysis at GlobalData.This article first appeared in World Coal November. To read this and much more, register to receive a copy of the issue here.

The power of cost curves

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