Caterpillar (CAT) vs Copper
Caterpillar (NYSE:CAT) and the LME copper price (FRED:PCOPPUSDM) are the cleanest cross-asset proxy for the global industrial cycle. CAT closed near $361 (April 29, 2026) against LME copper near $9,800/t.
Also known as: Caterpillar (CAT) (STK_CAT, Caterpillar) · Copper Price (Global) (copper, copper price, Dr Copper)
Why This Comparison Matters
Caterpillar (NYSE:CAT) and the LME copper price (FRED:PCOPPUSDM) are the cleanest cross-asset proxy for the global industrial cycle. CAT closed near $361 (April 29, 2026) against LME copper near $9,800/t. The 12-month rolling correlation has run 0.62-0.78 since 2010, with three breaks: 2015-2016 China slowdown, 2020 COVID divergence, post-2022 IRA electrification rerating.
Why CAT and copper are the same cycle bet expressed two ways
Caterpillar's revenue is roughly 50 percent Construction Industries, 25 percent Resource Industries (mining equipment), 20 percent Energy and Transportation, and 5 percent Financial Products. Copper is the most economically sensitive industrial metal, with end-use demand split roughly 28 percent construction, 19 percent electrical grid, 17 percent transportation (with a rapidly growing EV component), 16 percent consumer goods, 11 percent industrial machinery, and 9 percent other. Both series are dominated by China demand at the marginal-buyer level: China consumes approximately 55 percent of global refined copper and is Caterpillar's second-largest equipment market. The pair has been the headline cross-asset cycle bet for over two decades, cited in BHP's Investor Briefings, Glencore's commentary, the CME Group's copper supply-and-demand reports, and the Federal Reserve Bank of Kansas City's industrial-cycle research. The institutional thesis the pair tests is whether equipment demand (CAT, the user) is leading or lagging the copper cycle (PCOPPUSDM, the input). The recurring breakpoint is the 2022 IRA-era rerating, when copper demand-growth narratives re-anchored on EV and grid electrification rather than China construction. The composition of the marginal copper buyer therefore shifted, and the historical CAT-copper correlation that ran above 0.85 in 2014-2016 has not been recovered since the 2022 break, even though the rolling correlation has stabilised around 0.71 in 2025-2026. The composition shift matters because each marginal buyer has different price elasticity and different volume sensitivity, and a copper price driven by EV and grid demand carries different forward-return implications than the same price driven by Chinese construction.
Long-run correlation, regime breaks, and what each one taught
The CAT-versus-LME-copper rolling 12-month correlation has run 0.62 to 0.78 across 2010-2026, with three regime breaks worth understanding. First, 2015-2016 China commodity slowdown: copper fell from $7,400/t in mid-2014 to $4,400/t in early 2016 (a 41 percent decline), and CAT fell from $112 to $59 (a 47 percent decline) over the same window, with the 12-month correlation peaking at 0.91. The episode is the cleanest case for treating the pair as a unified cycle bet, and worth a more granular reconstruction: Chinese fixed-asset investment growth slowed from 19.6 percent year-on-year in mid-2013 to 9.2 percent by year-end 2015, the steepest deceleration of the post-2000 era, and both legs bottomed within four weeks of each other in early 2016. Second, 2020 COVID divergence: copper rallied from $4,617/t (March 19, 2020 trough) to $9,617/t (May 2021), a 108 percent advance, while CAT rallied from $90 (March 23, 2020 trough) to $244 (May 2021), a 171 percent advance. CAT outperformed copper because the equity carried the equity-multiple expansion that the commodity could not, but the rolling correlation stayed above 0.65. Third, 2022 IRA-era rerating: from August 2022 (Inflation Reduction Act passage), copper began to decouple from China-construction narratives and re-anchor on EV and grid electrification demand. Copper traded to $11,200/t in May 2024 and to fresh records above $11,200 in late October 2025. CAT followed but at a more measured pace, with the rolling correlation falling to 0.58 in 2023 before recovering to 0.71 by late 2025. The lesson from each regime break is that the pair operates differently in supply-driven versus demand-driven cycle phases, and the correlation tightness is the most reliable indicator of which regime the market is currently in.
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Frequently Asked Questions
How correlated are Caterpillar and copper?+
The 12-month rolling correlation between Caterpillar (CAT) and the LME copper price has run 0.62 to 0.78 since 2010, with a peak of 0.91 during the 2015-2016 China commodity slowdown and a trough of 0.58 during the 2023 EV/grid electrification rerating. The rolling correlation in April 2026 is approximately 0.71. The pair is the cleanest cross-asset proxy for the global industrial cycle, with CAT typically responding faster on the equity side because earnings expectations re-rate more quickly than commodity inventory cycles clear. Both series are dominated by China demand at the marginal-buyer level, although the post-2022 era has seen the linkage weaken as copper re-anchored on EV and grid demand.
What broke the CAT-copper relationship in 2022?+
The Inflation Reduction Act, passed August 2022, re-anchored copper demand expectations on EV and grid electrification rather than China construction. Copper traded to $11,200/t in May 2024 and to fresh records above $11,200 in late October 2025 even as Chinese growth slowed sharply. CAT, whose Resource Industries division is exposed to mining equipment for copper but whose Construction Industries division is more directly tied to global construction cycles, did not capture the full copper rerating. The 12-month rolling correlation fell from 0.78 in early 2022 to 0.58 by late 2023 before recovering to 0.71 by late 2025. The structural break is consistent with the broader thesis that copper has decoupled from its historical China-cycle anchor and is now priced more directly off electrification capex narratives.
How did CAT and copper perform during the 2015-2016 China slowdown?+
Copper fell from $7,400/t in mid-2014 to $4,400/t in early 2016, a 41 percent decline, and CAT fell from $112 to $59 over the same window, a 47 percent decline. The 12-month rolling correlation peaked at 0.91, the tightest reading of the post-2010 sample. The episode is the canonical case for treating the pair as a unified cycle bet: both series fell together as Chinese fixed-asset investment slowed and commodity-driven capex paused. Both bottomed within a quarter of each other (copper January 2016, CAT February 2016) and recovered together through 2016-2017 as Chinese stimulus and global manufacturing reflation drove the cyclical-growth backdrop.
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