Market Data
Nonferrous Mill Shapes: Reading the History Without Inferring a Copper or Aluminum Cycle
The archived range of BLS WPU1025 describes a broad price index. It does not independently identify demand, supply or the business cycle.
Source identity correction: this page previously described aluminum mill shapes. The stored BLS series is WPU1025, Nonferrous Mill Shapes, covering the broad nonferrous mill-shapes commodity group. The historical readings and page address are preserved; the earlier narrower product interpretation was incorrect.
Nonferrous Mill Shapes stands at 399.03 index (1982=100) in the latest archived observation, Aug 2026, up about 23.3% from a year ago. These are index points with a 1982=100 base, not dollars per pound or per tonne.
Read the range as a price history
Across the 37-year archive, the archived low is 117.40 in Nov 1993 and the high is 414.17 in Jun 2026. The current reading is 95% of the distance from that low to that high. This is a position within a numeric range, not a statistical percentile or a probability of reversal.
Nonferrous Mill Shapes, Aug 2026: 399.03. WPU1025; broad producer price index, 1982=100.
What would support a causal interpretation
A price change can reflect supply, demand, product composition and other conditions. A broad primary-metals or mill-shapes PPI cannot establish a copper-specific electrification squeeze, aluminum conversion pressure or an approaching industrial downturn. Investigate with matching product prices, quantities, inventories, capacity and order data. Keep any resulting causal explanation separate from the price observation itself.
Check the scope of any comparison
Use this series as broad producer-price context. It does not isolate aluminum, copper, brass, an alloy, a finished component or your supplier's invoice. A movement in the aggregate cannot identify which metal moved or separate raw-material, energy, labor and fabrication contributions. For a product-specific decision, obtain the corresponding product series and supplier pricing on the same units and dates.
Use your actual material price, quantity and an explicit change assumption to estimate cost sensitivity. Model a documented price scenario
Published 2026-07-13.