Durable Goods Orders and Capex Signals

Every month, the Census Bureau publishes durable goods orders data—and every month, headlines get it wrong. Traders react to a -0.2% headline print without noticing that core capital goods orders rose +0.7% underneath. The difference between headline and core is the difference between noise and signal. Understanding which number matters (and which to ignore) gives you a genuine edge in anticipating business investment trends, GDP shifts, and industrial earnings revisions.

TL;DR: Ignore the headline durable goods number—it's dominated by volatile aircraft orders. Focus on core capital goods orders (nondefense, ex-aircraft) for the real signal on business investment and GDP direction.

What Durable Goods Orders Actually Measure

The Census Bureau's Advance Report on Durable Goods Manufacturers' Shipments, Inventories, and Orders tracks new orders for products designed to last three years or more. These are capital-intensive goods that reflect business investment decisions made months before the spending shows up in GDP.

Categories covered include:

• Transportation equipment (commercial aircraft, motor vehicles, ships)
• Machinery (industrial engines, turbines, construction equipment)
• Computers and electronics (semiconductors, communications equipment)
• Electrical equipment (transformers, industrial controls)
• Primary metals (steel, aluminum, copper products)
• Fabricated metals (structural components, forgings)

The point is: Durable goods orders capture capital expenditure (capex) intentions before spending occurs. Rising orders today signal business investment growth in the coming one to two quarters. Declining orders signal retrenchment before it appears in earnings reports.

The report lands around the 26th of each month (for the prior month's data), and it moves markets—particularly the industrial and materials sectors. But the headline number is almost always the wrong number to watch.

Why the Headline Number Is Noise

The headline durable goods orders figure is dominated by transportation equipment, which accounts for roughly 30% of the total. Within transportation, commercial aircraft orders (overwhelmingly Boeing) create enormous monthly swings that have nothing to do with the broader business investment cycle.

Worked example (October 2024 release):

The headline said "contraction." The underlying data said "expansion." A single large Boeing order (or cancellation) can swing the headline by 5–10 percentage points in a given month. That's not economic signal—it's order-book lumpiness from one company.

Why this matters: If you traded the headline print—selling industrials on a -0.2% reading—you'd have been on the wrong side. Core capital goods orders were accelerating, and that's what feeds into GDP estimates and corporate earnings.

Core Capital Goods Orders (The Only Number You Need)

Core capital goods orders strip out the two most volatile components: defense spending and commercial aircraft. What remains is the cleanest measure of private-sector business equipment investment intentions available in any monthly report.

The definition: Core Capital Goods Orders = Nondefense Capital Goods Orders Excluding Aircraft

This metric matters because it:

• Tracks business equipment spending intentions across the economy
• Feeds directly into the BEA's GDP business investment estimates (the "equipment" line in gross private domestic investment)
• Shows dramatically less volatility than the headline figure
• Leads actual capital spending by one to two quarters

The practical rule: When core capital goods orders rise for three consecutive months, business investment is expanding. When they decline for three consecutive months, capex retrenchment is underway—and recession risk rises.

Orders vs. Shipments (Forward-Looking vs. Backward-Looking)

The durable goods report contains two distinct data series, and confusing them is a common mistake.

Orders represent new contracts—what businesses plan to buy. They are forward-looking. A rise in orders today means production, delivery, and revenue in coming months.

Shipments represent actual deliveries—what was shipped and invoiced that month. They are backward-looking (or at best, coincident). Shipments data feeds directly into the BEA's current-quarter GDP estimates.

The GDP connection made explicit:

• Shipments → current-quarter GDP calculation (the BEA uses shipments data to estimate the equipment component of business investment in the current quarter)
• Orders → next-quarter GDP direction (rising orders today mean rising shipments—and therefore rising GDP contribution—in subsequent quarters)

Worked example:

Suppose the October release shows:

• Core capital goods orders: +0.7% month-over-month
• Core capital goods shipments: +0.5% month-over-month

The shipments figure tells you Q4 GDP's equipment investment component is tracking positively right now. The orders figure tells you Q1 of the following year will likely see continued equipment investment growth—because those orders need to be produced and shipped.

The point is: Orders tell you where the economy is going. Shipments tell you where it is. You need both, but orders are the leading indicator.

Defense and Aircraft Volatility (Why You Strip Them Out)

Understanding why these components get excluded helps you avoid the mistake of thinking core orders are "manipulated" or "cherry-picked."

The Boeing Effect

Commercial aircraft orders create massive monthly distortions. Boeing publishes its own order data (often before the Census Bureau report), so you can frequently anticipate whether the headline will be misleading.

Historical example: When Boeing halted 737 MAX production in late 2019 through mid-2020, durable goods orders showed persistent artificial weakness. The headline suggested collapsing business investment. Core capital goods orders told a more nuanced story—business investment was slowing but not collapsing at the same rate the headline implied. Investors who sold industrials based on the headline overreacted.

Defense Orders

Defense capital goods orders are driven by government contract timing, not the economic cycle. A single Pentagon contract award can create a billion-dollar spike in one month, followed by months of flat readings. These orders are concentrated among a handful of contractors (Lockheed Martin, Raytheon, Northrop Grumman) and reflect policy decisions, not business confidence.

The practical insight: Exclude defense from your economic trend analysis entirely. The only time defense orders matter is when you're analyzing specific defense contractors or tracking government fiscal spending.

How to Read the Trend (Short-Term and Medium-Term)

Raw month-over-month numbers are noisy even in core capital goods. Here's how to extract signal.

Short-Term Analysis (Release Day)

When the report drops, run through this sequence:

1. Compare headline to ex-transportation to core. If headline is negative but core is positive, the headline is misleading (this happens frequently).
2. Check revisions to the prior two months. The advance report is heavily revised. A +0.5% initial reading might become +0.8% or +0.2% after revision. Revision sizes of 0.3–0.5 percentage points are common and sometimes larger than the initial print. Always incorporate revisions into your assessment.
3. Compare to consensus expectations. Market moves depend on surprise relative to expectations, not the absolute number.

Medium-Term Analysis (Trend Assessment)

For investment decisions (sector allocation, earnings expectations), use:

• Three-month moving average of core capital goods orders. This smooths monthly noise and reveals the underlying trend. If the three-month average is rising, business investment is expanding regardless of any single month's print.
• Year-over-year change. Removes seasonal effects entirely. A positive year-over-year reading means core orders are higher than the same month last year.
• Unfilled orders (backlog). Rising backlogs signal strong demand that exceeds current production capacity—a positive sign for future shipments and revenue. Falling backlogs signal either weakening demand or capacity catching up.

Why this matters: A single month's core orders reading is informative but not decisive. The three-month moving average is what separates noise from trend.

The Inventories Component (The Underappreciated Signal)

The durable goods report includes manufacturers' inventories data, which most investors skip. That's a mistake.

Rising inventories can mean two very different things:

1. Intentional buildup in anticipation of rising demand (positive—companies expect more orders)
2. Unplanned accumulation because sales disappointed (negative—goods are piling up unsold)

The inventory-to-shipments ratio separates the two:

• Rising ratio (inventories growing faster than shipments): Potential overstocking. Production cuts may follow. Watch for this as an early recession signal.
• Falling ratio (shipments growing faster than inventories): Lean inventory conditions. Restocking demand likely ahead—a positive signal for manufacturers.

The point is: Don't look at inventory levels in isolation. Always compare them to shipments. The ratio tells you whether inventory accumulation is healthy (demand-driven) or unhealthy (weakness-driven).

Industry Breakdown (Where Sector Signals Hide)

The full report breaks durable goods orders by industry. When the aggregate is ambiguous, the industry detail often clarifies:

The practical point: When one industry shows strength while others show weakness, investigate sector-specific drivers rather than drawing broad economic conclusions. A surge in electrical equipment orders tied to infrastructure legislation doesn't mean the whole economy is accelerating—it means that specific policy is generating spending.

Core Capital Goods Orders and Corporate Earnings

This is where the data becomes directly actionable for equity investors.

Core capital goods orders correlate with revenues and earnings guidance at major industrial companies—Caterpillar, Deere, Honeywell, Illinois Tool Works, and similar firms. The correlation operates with a one-to-two quarter lag.

The investment insight: When core orders trend down for three or more consecutive months, expect downward earnings revisions for industrial companies in subsequent quarters. Conversely, three or more months of rising core orders typically precede upward revisions.

Why this matters for sector allocation: If you overweight industrials and core orders have been declining for three months, the data is telling you to reconsider that position before earnings season delivers the bad news. The market often doesn't fully price in the orders-to-earnings relationship until the actual earnings reports land—giving you a window.

Common Pitfalls (And How to Avoid Each One)

Reacting to the headline number. The single most common mistake. Always look at ex-transportation and core before forming any view. The headline is entertainment, not analysis.

Ignoring revisions. The advance report is preliminary. Revisions of 0.3–0.5 percentage points are routine, and occasionally larger. If last month's core orders were initially reported at +0.3% and revised to +0.7%, that's a materially different signal. Always check revisions—they sometimes matter more than the new month's data.

Confusing orders with actual spending. Orders are commitments, not completed transactions. Cancellations happen (particularly in aircraft and defense). A surge in orders that subsequently gets canceled never turns into revenue or GDP contribution.

Drawing conclusions from one month. Even core capital goods orders are noisy on a single-month basis. The three-month moving average is your minimum threshold for trend conclusions.

Missing seasonal patterns. Year-end corporate budget flushes (companies spending remaining capex budgets in November–December) and summer slowdowns create recurring patterns. Year-over-year comparisons handle this automatically.

Durable Goods Day Checklist

Before the Release (Late Month)

• Know consensus expectations for both headline and core capital goods orders
• Check recent Boeing order announcements (Boeing often pre-releases monthly order data)
• Review ISM Manufacturing New Orders sub-index for a directional hint
• Note last month's core orders reading and any pending revisions

After the Release

• Compare headline → ex-transportation → core capital goods orders (the filtering sequence)
• Check revisions to the prior two months (revision direction matters as much as new data)
• Note defense orders separately (are they distorting ex-transportation?)
• Update three-month moving average for core orders
• Compare inventory-to-shipments ratio to prior month
• Cross-reference with industrial sector ETF price action for confirmation or divergence

Trend Assessment (Monthly Update)

• Is the three-month moving average of core orders rising, flat, or falling?
• What is the year-over-year change in core orders?
• Are unfilled orders (backlogs) rising or falling?
• Does the orders trend align with or diverge from industrial earnings guidance?

Next Step

Track core capital goods orders alongside the S&P 500 industrials sector (XLI) for six months. Plot the three-month moving average of core orders against the sector's performance. You'll observe the lag—deteriorating orders often precede earnings estimate cuts for industrial companies by one to two quarters. This relationship helps with sector allocation timing. The data is freely available from the Census Bureau's advance durable goods report and from the BEA's GDP component tables. Start with the Census Bureau's full release and the BEA's GDP-by-component data to build your own tracking sheet.