UNIVERSAL LOGISTICS HOLDINGS, INC. ULH revenue by segment, product and geography
In its fiscal year ending 2025-12-31, UNIVERSAL LOGISTICS HOLDINGS, INC. reported revenue across 5 products and services; the largest, Value Added Services, was $712M, 45.7% of the filed sum (-9.4% 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- Value Added Services$712M45.7%-9.4% yoy
- Dedicated Services$338M21.7%-1.8% yoy
- Intermodal Services$252M16.2%-16.2% yoy
- Truckload Services$183M11.7%-22.0% yoy
- Brokerage Services$73.9M4.7%-59.2% yoy
Members sum to the consolidated $1.56B for this period.
- United States$1.5B96.0%-16.5% yoy
- Mexico$51.2M3.3%+4.0% yoy
- Canada$10.6M0.7%+215.0% yoy
- CO$1.16M0.1%-46.8% yoy
Members sum to the consolidated $1.56B for this period.
- Value Added Services$185M50.4%+8.5% yoy
- Dedicated Services$84.1M22.9%-1.0% yoy
- Intermodal Services$47.3M12.9%-30.9% yoy
- Truckload Services$34M9.2%-10.1% yoy
- Brokerage Services$16.8M4.6%-17.3% yoy
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.