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US core capital goods orders, shipments increase in February

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US core capital goods orders, shipments increase in February

Core non-defense capital goods orders excluding aircraft rose 0.6% in February and core capital goods shipments increased 0.9%, indicating firmer equipment spending before the Middle East conflict. Overall durable goods orders fell 1.4%, driven by a 28.6% plunge in commercial aircraft orders, while supplier delivery times have lengthened and higher oil prices tied to the U.S.-Israel–Iran war add downside risk to shipments and investment. Investment in AI and data centers remains a tailwind supporting some equipment demand despite elevated uncertainty.

Analysis

The macro read should bifurcate into concentrated AI/data-center driven capex versus cyclical commercial aerospace and transport demand. Firms tied directly to semiconductor equipment, high-grade metals, and hyperscaler build-outs get a durable, multi-quarter revenue stream that is less sensitive to near-term geopolitical jitters; conversely, commercial aerospace OEMs and long-lead aircraft suppliers face lumpy cashflow risk as airlines re-time deliveries and financing windows tighten. Supply-chain frictions from energy-driven shipping cost spikes and longer supplier lead times will compress margins unevenly: vertically integrated metal and specialty component producers can pocket wider spreads, while contract manufacturers and firms with high inventory turns will see working capital and margin stress. This creates a window where capital light, high-margin equipment suppliers out-earn traditional industrials even if headline manufacturing activity softens. The key catalysts to watch are (1) the persistence of energy-cost inflation over a 2–6 month horizon that could flip discretionary industrial capex, (2) any rapid de-escalation which would re-liquefy aircraft order books, and (3) end-demand from hyperscalers which operates on a 6–18 month spend cadence and can sustain a multi-year upcycle independent of cyclical transport weakness. Positioning should therefore be asymmetric: capture upside in AI/data-center beneficiaries while using time-limited, defined-risk structures to express stress in aerospace and energy-exposed travel names.