AMT U.S. Manufacturing Technology Orders (USMTO)

Datadory delivers amt u s manufacturing technology orders usmto data covering new U.S. metalworking machinery orders in dollars, with month-over-month and year-over-year growth rates and cumulative year-to-date totals - roughly 330 monthly observations since 1998, including the June 2026 print of $672.7 million (+15.6% MoM, +56.8% YoY) inside a record $3.44 billion first half. Delivered by API, files, or your warehouse, daily, weekly, or hourly.

What is the AMT U.S. Manufacturing Technology Orders (USMTO) dataset?

The order book of American metalworking, kept by the trade association that represents the builders. AMT U.S. Manufacturing Technology Orders (USMTO) is AMT - The Association For Manufacturing Technology's monthly report tracking new orders of metalworking (machine tool) technology across the United States. Each print carries one headline dollar figure plus the arithmetic that makes it usable: change against the prior month, change against the same month a year earlier, and the cumulative year-to-date total. AMT has collected the series since 1998, so the record holds roughly 330 monthly observations - long enough to span several full capital-equipment cycles.

The current stretch of the curve is loud. June 2026 orders reached $672.7 million - up 15.6% month over month and 56.8% year over year - closing a record first half at $3.44 billion, the strongest half-year since collection began. December 2025 ended the prior year at $814.3 million with a full-year total of $5.74 billion. A companion series in the same programme tracks U.S. Cutting Tool Shipments, which ran $270.5 million in June 2026, up 31.7% year over year.

In Datadory's catalog of 1,744 datasets across 159 viable industries this record sits in the Industrial Gases slice and scores 6/10 for quality - the honest middle band for an association-published series whose deepest cuts live beyond the headline numbers. [Get a sample of this dataset](#request) and we return real rows cut to the months you name.

Sample rows from the USMTO series

Three releases pulled during the August 2026 research pass, exactly as they land:

report_month : 2026-06   new_orders_value_usd : 672.7M   mom_change_pct : +15.6%   yoy_change_pct : +56.8%
report_month : 2026-H1   ytd_total_usd       : 3.44B     note           : strongest half-year since collection began in 1998
report_month : 2025-12   new_orders_value_usd : 814.3M   ytd_total_usd  : 5.74B (full-year 2025)
companion    : 2026-06   cutting_tool_shipments_usd : 270.5M   yoy_change_pct : +31.7%   ytd_total_usd : 1.47B

Read together, the rows sketch a demand shock rather than a blip. June's +15.6% month-over-month move lands on top of an already-strong base, which is why the year-over-year figure runs nearly three times larger at +56.8%. The half-year cumulative matters more than any single month: $3.44 billion booked by mid-2026 means the year was already carrying more order value than most complete years in the series' early decades. Every row arrives keyed to its reference month with the three growth measures attached, so nothing shows up as an unlabeled number.

What fields does the USMTO dataset include?

Five fields define every observation, and four of them are the numbers the machine-tool economy actually gets quoted by. Field definitions below are marked inferred - mapped from release summaries rather than confirmed against the deepest documentation layer, which is flagged honestly rather than papered over.

  • report_month - the reference month the orders figure covers.
  • new_orders_value_usd - total dollar value of new metalworking machinery orders for the month ($672.7M for June 2026).
  • mom_change_pct - percentage change versus the previous month (+15.6% for June 2026).
  • yoy_change_pct - percentage change versus the same month of the prior year (+56.8% for June 2026).
  • ytd_total_usd - cumulative year-to-date order value ($3.44B for H1 2026; $5.74B for full-year 2025).

Breakdowns by manufacturing technology segment and region sit under additional fields on request rather than in the base dictionary - the exact column names could not be confirmed on the research pass, so they are quoted per request instead of promised blind. Ask for them alongside your sample and we confirm the layout before anything ships.

What geography, time range, and granularity does USMTO cover?

  • Geography: United States, measured nationally. Deeper geographic cuts below the national aggregate are handled through the on-request layer described above.
  • Temporal: 1998 to present, monthly - roughly 330 observations, enough history to compare today's order surge against the peaks and troughs of several prior capital-spending cycles.
  • Granularity: One observation per reference month at national level, each carrying order dollars, two growth rates and a year-to-date cumulative. Segment-level and regional resolutions join via request.

A companion U.S. Cutting Tool Shipments series runs alongside the orders line on the same monthly rhythm - June 2026 shipments of $270.5 million and $1.47 billion year to date - so consumables demand can be read next to capital-equipment demand without stitching sources.

How is this dataset delivered?

API, files, or your warehouse. Daily, weekly, or hourly.

You pick the channel and the cadence; the field dictionary above travels unchanged across all three. Teams loading full history once tend toward file extracts joined against their own production or revenue tables; products surfacing a demand gauge inside an app take a scoped feed; analysts running models in SQL take warehouse load. Name the months and fields when you request the sample - the sample ships first either way, and cadence changes afterward are a settings conversation, not a re-integration project.

Who uses USMTO data, and for what?

Machine tools are capital equipment ordered months before they ship, install and start producing - which makes the orders line one of the cleanest leading indicators in U.S. manufacturing:

  • Leading-indicator work - front-run industrial production and machinery shipment prints by watching order momentum turn before output data does; the +56.8% June 2026 year-over-year move is exactly the kind of signal that arrives here first.
  • Equity research overlays - map monthly order dollars onto machinery, tooling and industrial stocks as an earnings-season context series, with the year-to-date cumulative smoothing single-month noise.
  • Demand timing for sellers - time outreach to machine shops and job shops against order acceleration; shops that just booked record order value buy tooling, spares and capacity next.
  • Competitive intelligence - frame category demand swings behind any equipment maker's quarterly results, separating market-wide surges from company-specific execution.
  • Citation-grade macro commentary - anchor reporting and academic work on U.S. manufacturing investment to an association-published series with named provenance instead of an anonymous estimate.
  • Model features - feed a monthly demand pulse back to 1998 into forecasting panels as an exogenous variable, with growth rates already computed so no derivation leaks into the pipeline.

Which personas get the most value?

Investors and quant researchers get the earliest regular read on U.S. capital-goods demand - a monthly pulse usable as a factor input or an earnings overlay for industrial names. Market researchers and consultants get a quarter-century of consistently-collected order history for sizing and cycle-positioning work. Data scientists and ML engineers get a compact, tidy exogenous series with growth rates precomputed. Sales and growth teams get a demand-direction check before committing outreach budget to metalworking accounts. Competitive intelligence and product teams get the market backdrop that separates a rising tide from a good quarter. Journalists, academics and students get a citable trade-association source behind every figure. All delivered daily, weekly, or hourly.

Provenance note - USMTO is compiled by AMT - The Association For Manufacturing Technology, the U.S. trade association for the manufacturing-technology industry, whose members build and sell the machine tools being counted. The series has run continuously since 1998, and the same research programme publishes the companion U.S. Cutting Tool Shipments report.

Leading-indicator note - orders measure booked business, not production. Because capital equipment is specified, quoted and contracted before it is built, the orders line typically turns before output and shipment measures do - the reason it earns a place ahead of lagging series in dashboards.

Completeness note - field definitions on this record are marked inferred, and the segment- and region-level column names could not be confirmed on the research pass; both facts are stated up front, and the affected cuts ship under additional fields on request once the layout is confirmed.

Where to go next - for the European side of the same equipment market, pair with CECIMO European Machine Tool Sector Data; for output rather than orders, the Federal Reserve's Industrial Production & Capacity Utilization (G.17) series is the natural complement; for India, IMTMA Machine Tool Industry Data covers the subcontinent's machine tool economy.

Field dictionary

Every field below is documented against real records. The full dictionary ships with the sample.

Field dictionary - five documented fields, one observation per reference month
FieldTypeDefinitionExample
report_monthdateReference month the orders figure covers.2026-06
new_orders_value_usdnumberTotal dollar value of new metalworking machinery orders for the month.672.7M
mom_change_pctnumberPercentage change in order value versus the previous month.+15.6%
yoy_change_pctnumberPercentage change in order value versus the same month of the prior year.+56.8%
ytd_total_usdnumberCumulative year-to-date order value through the reference period.3.44B (H1 2026)
Additional fields-Folded under 'additional fields on request': breakdowns by manufacturing technology segment and region, plus the companion U.S. Cutting Tool Shipments series. Exact column names are confirmed with you before delivery.on request

Coverage - geography, temporal range, granularity

DimensionCoverage
GeographyUnited States, national totals; segment and regional cuts on request
Temporal1998 to present, monthly - roughly 330 observations
GranularityMonthly national aggregates; deeper resolutions via request

Questions buyers ask

What does the AMT U.S. Manufacturing Technology Orders (USMTO) dataset measure?

New orders of metalworking (machine tool) technology in the United States, in dollars, for each reference month - plus the month-over-month and year-over-year percentage changes and the cumulative year-to-date total. Machine tools are the capital equipment that cuts and forms metal, so the series functions as a demand gauge for U.S. manufacturing investment.

How far back does the series reach?

AMT has collected USMTO since 1998, giving roughly 330 monthly observations. That span covers the dot-com manufacturing downturn, the 2008-09 collapse and recovery, the 2010s expansion and the post-2020 surge - enough history to position any current print against real prior cycles rather than a handful of years.

What did the most recent prints show?

June 2026 orders totaled $672.7 million, up 15.6% month over month and 56.8% year over year, completing a record first half of 2026 at $3.44 billion - the strongest half-year since collection began. December 2025 closed the prior year at $814.3 million with a full-year total of $5.74 billion.

Does the dataset include segment and regional breakdowns?

The base dictionary carries the national monthly aggregates: order dollars, both growth rates and the year-to-date cumulative. Breakdowns by manufacturing technology segment and by region are folded under additional fields on request - their exact column layout is confirmed with you before delivery rather than guessed at in the dictionary.

Is the cutting tool shipments series part of the record?

Yes, as a companion line from the same AMT research programme. June 2026 U.S. Cutting Tool Shipments totaled $270.5 million, up 31.7% year over year, with $1.47 billion year to date. Reading shipments next to orders separates consumables demand from capital-equipment demand in one panel.

Why treat machine tool orders as a leading indicator?

Because ordering precedes producing. A shop contracts for a machine tool months before the machine ships, installs and contributes output, so the orders series registers demand shifts before production, shipment or employment statistics move. Analysts watch the month-over-month and year-over-year rates for turns, and the year-to-date cumulative for confirmation.

Can a sample be scoped to specific months or fields?

Yes. Name the reference months, the fields from the dictionary above and any of the on-request cuts, and the extract returns cut to them with the schema intact - delivered by API, files, or your warehouse on the schedule you pick.

See the rows before you pay anything.

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