Glossary/Macroeconomics/PMI New Orders-to-Inventories Ratio
Macroeconomics
3 min readUpdated Apr 4, 2026

PMI New Orders-to-Inventories Ratio

orders/inventories ratioN/I ratioISM new orders-inventories spread

The PMI New Orders-to-Inventories Ratio compares the forward demand signal embedded in new orders against current inventory levels to generate one of the most reliable leading indicators of industrial production turning points. A ratio above 1.0 — or a positive spread in diffusion-index terms — historically precedes acceleration in manufacturing output by 3–6 months.

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Analysis from Apr 5, 2026

What Is PMI New Orders-to-Inventories Ratio?

The PMI New Orders-to-Inventories Ratio is derived from Purchasing Managers' Index surveys — most notably the ISM Manufacturing survey in the U.S. and the Caixin PMI in China — by comparing the new orders sub-index (forward demand) to the inventories sub-index (current stock levels). In diffusion-index methodology, readings above 50 indicate expansion and below 50 indicate contraction for each component individually.

The ratio is most commonly expressed as either a direct quotient or as a spread (new orders minus inventories). When new orders significantly exceed inventories, businesses must accelerate production to meet demand, driving industrial output, employment, and ultimately corporate earnings. When inventories are bloated relative to new orders, companies draw down stock rather than ordering new production — a contractionary dynamic that propagates through supply chains with a lag of 2–6 months.

Why It Matters for Traders

For macro traders, this ratio is among the cleanest coincident-to-leading indicators of the industrial cycle because it captures the inventory-cycle mechanism — the primary driver of short-cycle recessions and recoveries. It directly informs positioning in cyclical equities (industrials, materials, semiconductors), commodities with industrial demand exposure (copper, aluminum, crude oil), and the steepness of the yield curve.

The ratio is particularly powerful for global growth divergence analysis. When U.S. ISM new orders outrun inventories while the Eurozone PMI equivalent shows inventory accumulation, it supports long USD/EUR and long U.S. cyclicals versus European industrials. Chinese Caixin PMI internals often serve as the earliest global signal given China's role as the marginal buyer of industrial commodities.

How to Read and Interpret It

For the ISM Manufacturing survey, key interpretation rules:

  • Spread above +5 points (e.g., new orders at 56, inventories at 51): strong re-stocking cycle likely to begin within 2–3 months; bullish for industrials and commodities.
  • Spread below -5 points: inventory destocking in progress; typically precedes production cuts, earnings downgrades in cyclicals, and copper price weakness.
  • Momentum of the spread matters as much as the level: a spread narrowing from +8 to +2 over three months signals deceleration even if still positive.
  • The ISM New Orders sub-index crossing 55 while inventories remain below 50 is historically one of the highest-conviction cyclical recovery signals.

Compare across geographies: if the ratio is improving in the U.S. but deteriorating in Germany, the divergence trade (long USD, short EUR, long U.S. industrials vs. short German DAX cyclicals) has a fundamental macro anchor.

Historical Context

During the 2015–2016 manufacturing recession in the U.S., the ISM new orders sub-index fell to 48.8 while the inventories sub-index held above 50, producing a spread of approximately -2 to -4 points for six consecutive months. This configuration accurately signaled the earnings recession in S&P 500 industrials and materials, with those sectors underperforming by roughly 15% on a relative basis before the ratio reversed in early 2016.

Conversely, the post-COVID restocking wave of 2020–2021 produced one of the most extreme readings on record, with ISM new orders reaching 67.9 in January 2021 against inventories at 46.9 — a spread of +21 points — correctly foreshadowing the commodity supercycle surge and semiconductor shortage of 2021.

Limitations and Caveats

The ratio can generate false signals during supply-side disruptions when inventories are low not because of strong demand but because of supply chain breakdowns — as seen in 2021–2022, when the ratio signaled expansion but underlying demand was partly artificial. It is also a survey-based diffusion index, subject to sentiment bias; business managers may report elevated new orders due to precautionary double-ordering rather than genuine end-demand. The indicator works best when confirmed by hard data — industrial production, freight volumes, and semiconductor book-to-bill ratios.

What to Watch

Monitor the ISM Manufacturing release (first business day of each month) with specific attention to the new orders and inventories sub-components. Track the Caixin China Manufacturing PMI new orders-to-inventories spread as a leading global indicator given China's commodity demand weight. Cross-reference with the Philadelphia Fed Manufacturing Index and Richmond Fed surveys for regional confirmation. When the spread diverges significantly from the copper/gold ratio, investigate whether supply-side or demand-side forces are dominant.

Frequently Asked Questions

Is the PMI new orders-to-inventories ratio better than the headline PMI for predicting recessions?
Yes, in most cases. The headline PMI aggregates multiple components including employment and supplier delivery times, which can diverge from demand trends. The new orders-to-inventories ratio isolates the inventory cycle mechanism, which is the primary driver of industrial recessions, and tends to lead the headline PMI by 1–3 months at turning points.
How does this ratio affect commodity prices specifically?
A sustained positive spread (new orders well above inventories) triggers restocking demand that flows directly into industrial commodity markets — particularly copper, aluminum, and steel — as manufacturers order raw materials to build back inventory. Copper is the most sensitive because it has no viable substitute in most industrial applications and its price tends to lead the spread reversal by 4–8 weeks.
Can this ratio be applied to the services PMI as well?
The ratio is structurally less meaningful for services because service firms do not carry physical inventory in the traditional sense, though some surveys do include a 'backlogs' component as a rough proxy. The new orders-to-inventories framework has its highest predictive power in manufacturing, particularly in economies with large goods-producing sectors like Germany, China, and South Korea.

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