What Do Durable Goods Orders Tell Us About the Economy?
Durable goods orders are one of the most forward-looking economic indicators available. Unlike many economic measures that tell us what already happened, durable goods orders reveal what businesses plan to do next. When a manufacturer orders a new machine or a company buys delivery trucks, that order sits months or even years in the future. Watching these orders tells economists and investors what's coming down the road.
Quick definition: Durable goods orders measure the total value of new orders received by manufacturers of long-lasting goods (products designed to last more than three years). These orders signal future production, employment, and business confidence.
Key takeaways
- Durable goods orders are a forward-looking indicator — orders today predict manufacturing activity months ahead
- Volatility is normal — monthly numbers swing wildly due to large, infrequent orders; economists look at averages and underlying trends
- Core orders exclude aircraft because Boeing and defense orders can dominate the headline, masking the real underlying trend
- Rising orders suggest business confidence and future economic expansion; falling orders often precede recessions
- The metric splits into categories: capital goods (equipment), transportation, and other durables
- Timing matters — orders can reverse quickly if economic conditions shift
What exactly gets counted as durable goods?
Durable goods are products made to last more than three years. The Census Bureau, which publishes the official monthly durable goods report, includes:
Capital equipment — manufacturing machinery, computers, industrial robots, construction equipment, and specialized tools. When a factory orders new CNC machines to increase production capacity, that shows up as capital goods orders.
Transportation — aircraft, vehicles, locomotives, and ships. A trucking company ordering 50 new trucks or an airline ordering jets creates massive order numbers that can swing the monthly headline.
Other durables — appliances, furniture, farm equipment, and components. A appliance factory ordering stamped-metal parts or a furniture maker ordering upholstery material all contribute.
A key distinction separates "new orders" (commitments made in the current month) from "shipments" (goods actually sent to customers) and "unfilled orders" (the backlog of orders not yet delivered). A company might order equipment in January but not receive it until September. That order appears in the January new-orders number but the shipment appears in September's numbers. Both are important: new orders signal future activity, while shipments show current production and revenue.
The headline number jumps month-to-month because a single large order—say, an airline buying 20 aircraft at $120 million each—can add $2.4 billion in one month, then the next month might have zero aircraft orders. Statisticians call this "lumpiness," and it's why the Census Bureau publishes both the headline and a core number (excluding transportation) or a smoothed trend to reduce noise.
Why the aircraft exclusion matters
Boeing, Airbus, and military contractors account for a massive share of transportation orders. A single order from Southwest Airlines or the Department of Defense can shift the monthly number by 5–10%. In March 2021, the U.S. saw durable goods orders rise 1.1%, but aircraft orders soared 80%, distorting the underlying trend in everything else.
The core durable goods order (also called "core capex") excludes aircraft and defense orders. It focuses on business investment in machinery, vehicles, industrial equipment, and structures. This smoothed number is the one the Fed watches most closely. When core orders rise, it signals that ordinary businesses—not just aircraft manufacturers—are confident enough to expand. When core orders fall, it hints that capital investment is slowing.
The relationship between orders and hiring
Manufacturing employment trails orders. When orders spike, companies don't hire immediately. They work through their backlog of unfilled orders, calling in overtime, running extra shifts. But if orders stay elevated for months, they eventually hire. Conversely, when orders start to decline, companies hold onto workers for a few months (hoping the dip is temporary), then begin layoffs.
This lag is why durable goods orders are a leading indicator — they predict employment, not the other way around. Economists plotting recessions often point to falling durable goods orders as an early warning sign. The 2007–2008 recession saw durable goods orders collapse months before unemployment spiked. In the 2020 Covid recession, orders fell sharply in March and April, but payroll losses continued through June and July. By the time the labor market bottomed in April, orders had already begun recovering.
Historically, a persistent decline in orders (three months in a row, or a trend line pointing down) is far more predictive than a single month's number. A bad month can be noise; a three-month downtrend suggests real loss of confidence.
Reading the monthly release
The Census Bureau releases durable goods orders around the 25th of each month, reporting the prior month's data. The report includes:
New orders — the total value of orders placed in the month. This is the headline number investors watch.
Unfilled orders — the stock of orders not yet shipped. A rising unfilled-orders backlog signals strong future demand and often justifies hiring. A falling backlog might suggest demand is cooling.
Shipments — goods actually sent during the month. Shipments and orders are linked but distinct. In a boom, orders outpace shipments (backlog grows); in a slowdown, shipments outpace new orders (backlog shrinks).
A typical month might read:
| Metric | Month 1 | Month 2 | Change |
|---|---|---|---|
| New orders | $175B | $178B | +1.7% |
| Unfilled orders | $950B | $955B | +0.5% |
| Shipments | $172B | $174B | +1.2% |
This scenario—rising orders and shipments, slight backlog growth—suggests steady economic activity. A month where new orders fell 5% but shipments rose 2% would suggest demand is weakening.
Industry breakdowns reveal sector strength
The report segments orders by sector: primary metals, machinery, electrical equipment, transportation equipment, computer and electronic products. Paying attention to these categories uncovers where growth is concentrated or where trouble is brewing.
In 2021–2022, semiconductor and computer equipment orders surged due to remote work, cloud computing expansion, and chip shortages. Manufacturers knew demand was there, so they ordered the machinery to increase chip production. By 2023, as demand slowed, orders for semiconductor production equipment fell sharply. Watching the computer/electronics subsegment three or four months before the broader tech slowdown became apparent provided an early warning.
Transportation orders are highly cyclical. When airlines are optimistic, they pre-order aircraft years in advance. Boeing's order book can signal airline health. Similarly, heavy-truck orders (captured separately) rise when shipping and logistics companies expect strong demand; they fall when a recession looks likely.
Durable goods and Fed policy
The Federal Reserve closely monitors durable goods orders when deciding interest-rate policy. If core orders are rising, it suggests the economy is strong and inflation risk might be rising; the Fed is more likely to raise rates or hold them steady. If orders are falling, it suggests the economy is softening; the Fed is more likely to cut rates or hold them lower.
During the pandemic, the Fed watched orders collapse in March 2020, then watched them recover (albeit unevenly) through 2020 and 2021. The recovery in orders was one signal that the worst had passed and a rebound was underway, justifying the pivot to tighter policy in 2022.
Conversely, in late 2022 and early 2023, as the Fed raised rates aggressively, durable goods orders began to weaken—especially in core categories. This slowdown was a signal that the Fed's policy was working: capital spending was moderating, which would eventually cool inflation. But it also signaled a risk of tipping into recession if the Fed stayed too tight for too long.
When orders don't match the headline
Wall Street sometimes misreads monthly durable goods data. A month of strong headline orders gets celebrated, but close inspection reveals:
Aircraft dominance — the gain came entirely from planes; core orders fell. This is a false positive.
Inventory builds — a company orders more goods than it expects to sell immediately, anticipating higher sales later. If those sales don't materialize, orders reverse. A spike in orders one month followed by a collapse the next can reflect inventory cycles, not true demand changes.
Seasonal adjustment quirks — the Census Bureau adjusts for seasonal patterns (e.g., retailers ordering more inventory ahead of holiday shopping). Sometimes the adjustment overshoots, creating phantom swings. Comparing month-over-month is less reliable than comparing year-over-year (same month, one year ago).
A better practice: compare the three-month average order level to the three-month average from the prior year. This smoothing reduces noise and reveals the true trend.
Durable goods as a recession predictor
Historically, a consistent decline in core durable goods orders has preceded every U.S. recession in the postwar era. The Conference Board includes forward-looking orders (both durable goods and new-home permits) in its Leading Economic Index. When orders fall, a recession typically follows within 6–12 months.
In 2022, as the Fed raised rates, core durable goods orders began a downward trend. Economists watching this data worried a recession was coming. Though the recession was ultimately mild (if it came at all), the orders data gave a clear warning that capital investment was cooling.
Conversely, when orders begin to rise after a sustained decline, it signals a recovery is beginning. In mid-2023, durable goods orders stabilized and began a gentle uptrend, suggesting the recession fears might be overblown and the economy could reaccelerate.
Unfilled orders and production backlogs
The unfilled-orders component of the durable goods report is sometimes overlooked but critically important. A company with a large unfilled-orders backlog can produce at high capacity for months without taking a single new order. This is why recessions can sometimes feel sharp: new orders collapse, but unfilled backlogs keep factories humming for a few months. Workers aren't laid off immediately; companies work through the backlog.
In 2020, manufacturers had substantial unfilled-orders backlogs heading into the Covid shock. That backlog allowed some continuity of production even as new orders froze. By summer 2020, new orders had recovered, but the backlog was being worked through, so production was steady. This lag is why employment can sometimes lag orders by three to six months.
Real-world examples
2007–2008 financial crisis: Durable goods orders peaked in late 2006, then entered a sustained decline through 2007. By the time the financial crisis hit in September 2008, orders had already fallen by 25% over two years. The decline preceded the unemployment spike by nearly a year. The Census Bureau tracks these orders as part of the official monthly durable goods report, which provides detailed breakdowns by sector and includes both headline and core (non-aircraft) figures.
2020 Covid shock: Durable goods orders dropped 7.5% in March 2020 and another 9.9% in April. The decline was the sharpest since the 2008 crisis. But by June, orders rebounded and by year-end were setting new records as businesses adapted to remote work and supply-chain disruption. The swift rebound in orders signaled that the recession would be short.
2022–2023 rate hikes: As the Fed raised rates from near-zero to 5.25–5.50%, core durable goods orders fell steadily. Manufacturers delayed equipment purchases, waiting to see if demand would hold. By mid-2023, however, orders stabilized, suggesting either that demand was proving more resilient than expected or that low rates would return sooner than anticipated. The Federal Reserve's historical data on manufacturing output provides context for understanding how durable goods orders relate to actual industrial production.
Common mistakes when reading durable goods
Treating a single month as a signal. One month of bad orders data doesn't signal a recession. Look for a three-month or six-month trend.
Ignoring the aircraft wedge. A headline beat driven entirely by Boeing orders is misleading. Always check core orders. Core is the truer picture of capital spending.
Conflating orders with sales. An order today might be shipped six months from now. Watching orders tells you about future revenue, not current revenue. Shipments data is better for current activity.
Missing seasonal adjustments. The raw data is wildly seasonal—Q4 orders spike due to year-end buying, Q1 orders often fall. The Census Bureau adjusts for this, but the adjustment itself can distort month-to-month comparisons.
Assuming durable goods drive the cycle. Orders are a leading indicator, not a driver. Falling orders reflect weak demand and business confidence; they don't cause recessions. The causal arrow runs from confidence → lower orders → lower investment → slower growth.
FAQ
Why are durable goods orders so volatile?
Orders are volatile because they involve large, infrequent transactions. An airline ordering 10 aircraft is one order, but it's $1–2 billion. Next month, that airline might order nothing. With hundreds of manufacturers reporting, the aggregate monthly number swings. The Census Bureau publishes three-month moving averages and core figures precisely because volatility obscures the true trend.
How far ahead do durable goods orders predict?
Typically 3–6 months for manufacturing activity and 6–12 months for employment. An order placed in January often ships in March or April. If the company then hires workers to meet increased production, those hires might come in April or May. But the order was the leading signal.
Is a rising backlog of unfilled orders good or bad?
Rising backlogs can signal strong demand, which is positive. But they also mean factories are stretched—workers are working overtime, shipments might be delayed, and margins can be squeezed. A very large backlog can also be a risk: if new orders suddenly slow, the company will have months of backlog to work through before it needs to hire. So rising backlogs are good for growth in the short term but can mask underlying demand weakness.
How does durable goods data compare to GDP reports?
Durable goods orders are a component of GDP. Business investment (capex) is a subcategory of GDP spending. But orders measure commitments, not actual spending, so they lead GDP. A spike in durable goods orders in Q1 might show up as a jump in capex spending in Q2 or Q3 GDP data.
Can durable goods data be revised?
Yes. The Census Bureau publishes preliminary, revised, and final figures. Preliminary data (released on the 27th) is often revised when more firms report. The revision can be 1–2%, sometimes higher. If orders are reported as +2.0% but revised to -1.5%, the economic story flips. Always check the prior month's revision when the latest report comes out.
How do I use durable goods data for investing?
Capital equipment makers like Caterpillar, Deere, and industrial conglomerates like Emerson Electric are sensitive to durable goods trends. Rising orders support their earnings; falling orders often precede earnings misses. Similarly, trucking companies and logistics firms benefit from rising transportation equipment orders. Watching the durable goods trend helps traders anticipate which sectors will face headwinds or tailwinds in coming quarters.
Related concepts
For deeper context on the indicators that move markets and shape monetary policy, explore these related topics:
- What economic data moves markets most?
- Understanding the business cycle and economic turning points
- How the Fed sets interest rates
- Reading the employment data beyond the headline
- Building an economic calendar strategy
- How inflation expectations drive Fed policy
Summary
Durable goods orders measure the value of new orders received by manufacturers of long-lasting products. Because orders arrive months before shipment, they are a leading economic indicator—they tell us what the economy will do before it actually happens. Investors and policymakers watch core durable goods orders (excluding volatile aircraft) to gauge business confidence and capital spending intentions. Rising orders suggest expanding investment and strong future demand; falling orders warn of a potential slowdown. The metric is volatile month-to-month, so economists focus on three-month trends. Understanding durable goods orders helps explain how the Fed decides on interest rates, how investors position portfolios, and why recessions are sometimes predictable.