DANA Inc DAN revenue by segment, product and geography
In its fiscal year ending 2025-12-31, DANA Inc reported revenue across 2 business segments; the largest, Light Vehicle Segment, was $5.22B, 69.6% of the filed sum (-0.6% 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- Light Vehicle Segment$5.22B69.6%-0.6% yoy
- Commercial Vehicle Segment$2.28B30.4%-8.1% yoy
Members sum to the consolidated $7.5B for this period.
- North America$4.51Bshare n/a-3.0% yoy
- United States$4.29Bshare n/a-1.8% yoy
- Europe$1.49Bshare n/a0.0% yoy
- Other Europe$1.05Bshare n/a-0.1% yoy
- Asia Pacific$824Mshare n/a-4.2% yoy
- Other Asia Pacific$824Mshare n/a-4.2% yoy
- South America$672Mshare n/a-7.7% yoy
- Germany$434Mshare n/a+0.2% yoy
- +3 more members in the filing
member sum exceeds the consolidated figure: this axis carries more than one breakdown, so shares are not computed.
- Light Vehicle Segment$1.27B67.9%+4.6% yoy
- Commercial Vehicle Segment$599M32.1%+5.5% 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.