Reading sector benchmarks: PMI, capacity utilization, and unit labor cost side by side

# Reading sector benchmarks: PMI, capacity utilization, and unit labor cost side by side

A US ISM Manufacturing PMI reading of 50.5 hits the wire on a Monday morning. By Monday afternoon, a plant manager in Ohio is laying off a shift because her order book is thin. Both things are true at once. That contradiction is the lesson: national benchmarks describe the average of thousands of firms, not any single one of them. If you run, invest in, or lend to a manufacturer, you need to know what each index actually measures, what its threshold means, and where it can mislead you.

This lesson walks through three benchmarks side by side: the ISM Purchasing Managers' Index (PMI) in the US, capacity utilization in the Eurozone, and unit labor cost (ULC) in the Eurozone. You'll learn what each number is built from, how to do the underlying math yourself, and why stacking all three together gives a far more honest read than any one alone.

PMI: a diffusion index, not a growth rate

The ISM Manufacturing PMI, published monthly by the Institute for Supply Management, is a "diffusion index." That means it doesn't measure the level of output. It measures the *share* of purchasing managers reporting improvement versus decline across five components: new orders, output, employment, supplier deliveries, and inventories.

The calculation is simple and worth doing once by hand:

PMI = (% reporting increase) + 0.5 × (% reporting no change)

Say 30% of surveyed manufacturers report new orders rising, 45% report no change, and 25% report a decline. The sub-index is:

30 + (0.5 × 45) = 30 + 22.5 = 52.5

A reading above 50 means more firms are seeing improvement than decline. It does not mean output is up 2.5%, or up at all in dollar terms. It also says nothing about the *magnitude* at any single firm. A PMI of 52 could mean "widespread, mild expansion" or "a few large firms growing fast while most tread water." As of early 2026, ISM's headline PMI has hovered in the high 40s to low 50s (estimate, check the ISM Report on Business for the current release), a zone economists call "flirting with the expansion line."

The common mistake: treating "PMI above 50" as proof your supplier, customer, or portfolio company is doing well. It only tells you the *national average direction of change* among survey respondents. A single automotive parts plant can be cutting shifts while the national PMI reads 51, if growth is concentrated in, say, aerospace and semiconductor equipment.

Capacity utilization: how full is the factory, really?

Capacity utilization answers a different question: of what a plant *could* produce running flat out, what share is it actually producing?

Capacity Utilization Rate = (Actual Output / Maximum Sustainable Output) × 100

In the Eurozone, the European Commission's quarterly Business and Consumer Survey tracks this for manufacturing. Eurozone manufacturing capacity utilization has generally run in the 78% to 82% range over the past decade, dipping sharply during the 2020 shock and again during the 2022 energy crisis (estimate, see the European Commission's Business and Consumer Surveys for current figures).

Worked example: a German machine tool plant has a maximum sustainable monthly output of 1,000 units (running three shifts, normal maintenance). This month it produced 810 units.

810 / 1,000 × 100 = 81% capacity utilization

Why this matters financially: utilization below roughly 75 to 80% typically signals overcapacity, meaning weak pricing power and pressure on margins, because fixed costs (depreciation, plant overhead, base staffing) are spread over fewer units. Above 85%, firms often face bottlenecks and start justifying capital expenditurecapital expenditureCapital Expenditure (CapEx) is money spent to acquire, upgrade, or extend long-lived assets like equipment, property, or software that deliver value over multiple years.Voir la définition complète → on new lines, since they're leaving revenue on the table.

Capacity utilization is a *level*, unlike PMI's *direction of change*. A country can have a PMI above 50 (more firms improving) while utilization stays low (the improvement is off a depressed base). Both can be true simultaneously. That's not a contradiction, it's two different rulers measuring two different things.

Unit labor cost: the bridge to competitiveness

Unit labor cost (ULC) connects wages to productivity, and it's the single best benchmark for comparing manufacturing competitiveness across countries.

ULC = Total Labor Cost / Real Output

Or equivalently, and more intuitively:

ULC = Average Compensation per Worker / Output per Worker (productivity)

If ULC rises faster than a country's trading partners, its manufacturing sector is getting less price-competitive, all else equal, because each unit produced embeds more labor cost.

Worked example: a Spanish auto parts supplier pays average compensation of €45,000 per worker per year. Each worker produces output valued at €90,000 (in constant prices).

ULC index (base) = 45,000 / 90,000 = 0.50

Next year, compensation rises to €47,000 but productivity is flat at €90,000 of output per worker:

ULC = 47,000 / 90,000 = 0.522, a 4.4% increase in unit labor cost

That 4.4% didn't come from paying workers more in isolation, it came from paying more *without* a matching productivity gain. If a German competitor raised wages 4% but also lifted productivity 2%, their ULC increase is smaller, and they gain relative competitiveness.

Eurostat publishes nominal ULC indices for the Eurozone quarterly (estimate: growth has generally run in the low single digits annually in recent years, with meaningful divergence between core and periphery economies, see Eurostat's labor cost data). This divergence is a running theme in Eurozone competitiveness debates: it partly explains why countries like Germany maintained strong export shares for years, and why others faced repeated pressure to restrain wage growth or boost automation.

Putting the three together

Here's the real skill: reading these three benchmarks as a single dashboard, not as separate headlines.

| Benchmark | What it tells you | What it misses |

|---|---|---|

| PMI | Direction of change, breadth of improvement | Magnitude, firm-level variation |

| Capacity utilization | How much slack exists in the system | Whether that slack is profitable to fill |

| Unit labor cost | Cost competitiveness trend | Currency effects, non-labor input costs |

A realistic scenario: US ISM PMI prints 51.2 (mild expansion, more firms improving than not). Eurozone capacity utilization sits at 79% (below its long-run average, signaling slack). Eurozone ULC is up 3.5% year over year (cost pressure building). Put together, this describes a US manufacturing sector cautiously turning a corner while European manufacturers face a tougher combination: idle capacity *and* rising unit costs, a margin squeeze from both directions. That's a very different investment and hiring signal than reading any single number alone would give you.

If you're evaluating a specific manufacturer, none of these three national aggregates substitutes for the firm's own numbers: its order backlog, its plant-level utilization, its labor cost per unit shipped. The benchmarks tell you the weather. They don't tell you whether your particular roof leaks.

🎬 [VIDEO: "Purchasing Managers' Index (PMI) Explained" - https://www.youtube.com/results?search_query=purchasing+managers+index+pmi+explained - A short primer on how PMI surveys are constructed and why the 50 threshold matters, useful for building intuition before reading live ISM releases.]

Key Takeaways

• PMI is a diffusion index measuring breadth of change, not output level. A reading above 50 means more firms report improvement than decline; it says nothing about magnitude or about any single company's performance.
• Capacity utilization tells you how full the factory is