Material recovery value drivers
Recovered scrap has value — and that value moves. Commodity prices shape how much of a decommissioning cost can be offset, and the market a project begins in is rarely the one it ends in.
Fifteen years of quarterly data — indexed to Q1 2010 = 100 on a log scale — show how dramatically recovery values shift across a project life. Copper has nearly doubled since 2016. Silver has quintupled from its 2015 trough. Lithium went from irrelevance to a 15× peak and back. Cobalt quadrupled in under three years then collapsed.
| Commodity | Unit | Q3 2025 | Q4 2025 | Q1 2026 | QoQ chg | Index Q1 2026 |
|---|
Data notes
This panel tracks the scrap recovery value dimension of decommissioning economics. Prices shown are indicative quarterly averages derived from public commodity price series. They do not represent actual transaction prices for any specific project or asset.
- Steel Scrap: Derived from FRED series WPU10170503 (US Producer Price Index: Iron and Steel Scrap Manufacturing), converted to approximate USD/metric ton by anchoring the PPI index to the observed US HMS 1&2 spot benchmark of ~$400/t in Q1 2021 and back-applying the same conversion ratio across the full Q1 2010–Q1 2026 series. Values are indicative and reflect directional US domestic scrap market pricing.
- Copper, Aluminium, Nickel, Cobalt: FRED/World Bank commodity price series (PCOPPUSDM, PALUMUSDM, PNICKUSDM, PCOBAUSDM). Three-month averages of monthly LME-derived spot prices in USD per metric ton.
- Silver: FRED series SLVPRUSD. Monthly London Bullion Market Association (LBMA) silver fixing price in USD per troy ounce.
- Lithium carbonate: FRED series PLIUSDM (World Bank commodity price index). Battery-grade lithium carbonate, USD per metric ton. Chinese spot market derived.
- All series are indexed to Q1 2010 = 100 on a logarithmic scale, enabling proportional comparison across commodities with very different price magnitudes and volatility profiles. A log scale ensures that a 50% fall and a 100% rise occupy equal visual distance, which is the appropriate representation for long-run commodity price series.
- Quarterly values are three-month averages of monthly observations. Q1 2026 uses January and February 2026 average where March data was not yet available at time of publication.
- Data is updated by Endenex on a quarterly basis. Last updated: Q1 2026.