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Macroeconomics
6 min readUpdated Apr 12, 2026

PMI Internals

ByConvex Research Desk·Edited byBen Bleier·
PMI subcomponentsISM internalsnew orders-to-inventory ratio

PMI internals refer to the sub-index components of Purchasing Managers' Index surveys, particularly new orders, inventories, employment, and prices paid, that provide leading signals beyond the headline composite number. Sophisticated macro traders decompose these components to identify turning points in industrial cycles before they appear in hard economic data.

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What Are PMI Internals?

PMI internals refers to the practice of dissecting the subcomponents of Purchasing Managers' Index surveys, both the ISM Manufacturing and Services PMIs in the US, and equivalents like the Eurozone S&P Global PMI and China's Caixin PMI, rather than relying solely on the composite headline reading. The headline PMI is a diffusion index where readings above 50 indicate expansion and below 50 indicate contraction, but the real analytical edge lies in understanding the composition of that number and the dynamic relationships between its parts.

Key subcomponents include:

  • New Orders: The most forward-looking component; a proxy for future production demand typically 2–3 months ahead
  • Inventories: When inventories rise alongside falling new orders, a destocking cycle is imminent
  • Prices Paid: A leading indicator for producer inflation and ultimately CPI and PCE; tends to lead headline inflation by 1–3 quarters
  • Employment: Lags new orders by 1–3 months; one of the most reliable leading indicators for non-farm payrolls surprises
  • Supplier Deliveries: Measures supply chain stress; counterintuitively, longer delivery times inflate the composite headline artificially
  • New Export Orders: Captures global demand dynamics, particularly relevant for commodity-linked and export-driven currencies like AUD, KRW, and NOK
  • Backlog of Orders: A secondary leading indicator confirming whether new order strength is absorbing existing capacity or adding to it

Why It Matters for Traders

The headline PMI can be deeply misleading without decomposition. A PMI of 51 driven entirely by rising inventories and slower supplier deliveries may actually be bearish for future output, while a PMI of 48 with surging new orders and falling inventories signals a coming reacceleration. This distinction carries significant implications for sector rotation between cyclicals and defensives, for credit spread direction in investment-grade and high-yield markets, and critically for central bank reaction functions, the Fed has explicitly referenced PMI subcomponent deterioration in past meeting minutes.

For macro traders, the new orders minus inventories spread (NO-INV) within ISM Manufacturing is arguably the single highest-signal leading indicator for industrial production 2–3 months forward. When this spread turns sharply positive from deeply negative levels, it typically precedes a trough in manufacturing activity and has historically been a reliable early signal to rotate into industrial equities, copper, and manufacturing-exposed currencies. The spread also feeds directly into models for earnings revisions in the S&P 500 industrials and materials sectors, making it relevant not just for macro positioning but for single-stock event risk around earnings seasons.

How to Read and Interpret It

Practitioners focus on these key relationships and thresholds:

  • New Orders minus Inventories > +5: A restocking cycle is likely underway or imminent; historically bullish for industrials, materials, and cyclical commodities including copper and crude oil
  • New Orders minus Inventories < -10: Destocking phase underway; bearish for materials and manufacturing-linked currencies; watch for downward revisions to industrial production
  • Prices Paid above 65: Significant inflationary pressure building in the pipeline; historically precedes CPI acceleration by 1–2 months and tends to compress real yields if the move is unexpected
  • Prices Paid collapsing from above 80 to below 50: A pronounced disinflationary impulse ahead; historically bullish for duration in Treasuries and supportive of a flattening yield curve as the market reprices the policy rate path
  • ISM Employment subindex below 45: Consistently associated with sub-100k payrolls prints; elevates the probability of a negative NFP surprise and increases sensitivity of front-end rates to the upcoming jobs report
  • New Orders above 57 with Inventories below 43: The most powerful restocking signal combination; occurred in early 2020 recovery and again in mid-2016, both preceding sharp cyclical equity rallies

Always cross-reference ISM Manufacturing new orders against Services new orders to determine whether weakness or strength is sector-specific or economy-wide. A divergence where Services new orders accelerate while Manufacturing contracts, as seen through much of 2023, has distinctive implications for yield curve shape and equity sector leadership.

Historical Context

During 2021–2022, the ISM Manufacturing Prices Paid subindex surged to 87.1 in June 2021, a level not seen since the commodity inflation of the 1970s, well before headline CPI peaked above 9% in June 2022. Traders who tracked this component had approximately 6–9 months of advance warning that goods inflation was becoming systemic, providing lead time to position in TIPS, short nominal duration, and commodity-linked equities before the consensus recognized the inflation regime shift.

Conversely, by late 2022, the New Orders minus Inventories spread within ISM Manufacturing plunged to approximately -14, the most extreme destocking signal since the global financial crisis, accurately foreshadowing the sharp goods deflation and industrial contraction that defined much of 2023, even as services remained resilient and the headline economy avoided recession. Traders who relied solely on the composite PMI, which held near 48–50, missed the severity of the underlying industrial deterioration.

An earlier example: in late 2015 and early 2016, ISM new orders bottomed around 48 while inventories simultaneously peaked near 51, creating a spread of approximately -3. Within two months, new orders surged back above 58 as inventories corrected sharply, generating a NO-INV spread reversal that preceded a 25% rally in the S&P 500 materials sector between February and July 2016.

Limitations and Caveats

PMI surveys are sentiment-based diffusion indices, not volume measures, they capture the breadth of improvement or deterioration across respondents, not the magnitude of underlying change. A single large sector distortion can meaningfully skew subcomponents. Survey respondent composition can also shift over time, introducing subtle biases. The Supplier Deliveries component is structurally problematic: supply chain disruptions artificially inflate the composite headline by recording slower deliveries as expansionary, as occurred dramatically during 2021, masking genuine demand softness beneath an elevated headline reading.

International PMIs require additional caution. ISM and S&P Global use different methodologies and weighting schemes; direct numeric comparisons between the two series are unreliable. Emerging market PMIs frequently reflect currency and cost pressures that have no equivalent in DM surveys, complicating cross-regional synthesis. Finally, PMI internals are most powerful as directional and leading tools, they tend to be less reliable as precise timing instruments and should be combined with hard data such as industrial production, durable goods orders, and regional Fed surveys for confirmation.

What to Watch

  • Monthly ISM Manufacturing and Services releases (first and third business days of each month), always download the full subcomponent table, not just the headline
  • New Orders component relative to its own 6-month moving average for cycle turning point detection, smoothing single-month survey noise
  • Prices Paid versus 5-year breakeven inflation divergences that may signal misaligned market inflation expectations relative to pipeline pressure
  • China Caixin PMI new orders and new export orders as a real-time barometer for global industrial demand, commodity cycle direction, and emerging market currency risk premiums
  • ISM Employment cross-referenced against ADP and JOLTS in the week before NFP to triangulate labor market trajectory
  • Backlog of Orders trend as a secondary confirmation of whether new order gains are durable or merely catching up on prior cancellations

Frequently Asked Questions

What is the most important PMI internal component to watch?
The new orders minus inventories spread (NO-INV) within ISM Manufacturing is widely considered the highest-signal individual indicator, as it leads industrial production by roughly 2–3 months and has a strong track record of identifying destocking and restocking cycle inflection points. Prices Paid is a close second for its proven ability to lead CPI and PCE inflation readings by one to three quarters, giving traders actionable lead time on rate-sensitive positioning.
How do PMI internals relate to non-farm payrolls forecasting?
The ISM Manufacturing and Services Employment subindices typically lead the official payrolls report by one to three months because purchasing managers adjust headcount intentions before hard hiring or firing decisions are reflected in government data. Readings below 45 in ISM Manufacturing employment have historically been consistent with sub-100k payrolls prints, making this subcomponent a valuable input for traders positioning around NFP event risk.
Can a PMI above 50 actually be bearish, and vice versa?
Yes — a headline PMI above 50 can be bearish if it is driven primarily by slower supplier deliveries (which mechanically boost the composite) and rising inventories alongside flat or falling new orders, signaling a coming demand air pocket rather than genuine expansion. Conversely, a PMI reading in the high 40s can be bullish if it reflects rapidly accelerating new orders and sharply declining inventories, indicating that the trough in the industrial cycle is near and a restocking bounce is imminent.

PMI Internals is one of the signals monitored daily in the AI-driven macro analysis on Convex Trading. The platform synthesises data across monetary policy, credit, sentiment, and on-chain metrics to generate actionable trade recommendations. Create a free account to build your own signal layer and see how PMI Internals is influencing current positions.

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