METTLER TOLEDO INTERNATIONAL INC/ MTD revenue by segment, product and geography
In its fiscal year ending 2025-12-31, METTLER TOLEDO INTERNATIONAL INC/ reported revenue across 5 business segments; the largest, US Operations, was $1.5B, 37.2% of the filed sum (+4.7% against the prior period in the same filing).
Reported segment mix
figures as filed · share of the filed sum · change vs the prior period in the same filing- US Operations$1.5B37.2%+4.7% yoy
- Western European Operations$896M22.3%+4.4% yoy
- Other Operations$789M19.6%+6.9% yoy
- Chinese Operations$635M15.8%+1.0% yoy
- Swiss Operations$211M5.2%-3.5% yoy
Members sum to the consolidated $4.03B for this period.
- Laboratoryproductsandservices$2.24B55.7%no prior
- Industrialproductsandservices$1.58B39.2%no prior
- Retailproductsandservices$206M5.1%no prior
Members sum to the consolidated $4.03B for this period.
- US Operations$352M34.3%no prior
- Western European Operations$227M22.1%no prior
- Other Operations$204M19.9%no prior
- Chinese Operations$187M18.2%no prior
- Swiss Operations$56.5M5.5%no prior
Change is against the same quarter a year earlier, as reported in the same 10-Q.
Source: SEC DERA Financial Statement and Notes data sets. Dimensional XBRL facts on the business-segment, product/service and geographic axes; the engine keeps the accession of every figure. Descriptive and educational, not advice.
About these figures
Companies tag segment, product and geographic revenue as dimensional XBRL facts in their 10-K and 10-Q filings. The SEC publishes those facts in its DERA Financial Statement and Notes data sets; TrendNalysis ingests each monthly file and serves the facts exactly as filed, keyed to the accession of the filing. Shares are of the filed sum. Where a filer tags more than one breakdown on one axis, the sum exceeds consolidated revenue and no shares are computed; where the members do not add up to the consolidated figure, the residual is stated rather than hidden. Missing is never zero.
Descriptive and educational; not investment advice. Methodology and data lineage.