ASBURY AUTOMOTIVE GROUP INC ABG revenue by segment, product and geography
In its fiscal year ending 2025-12-31, ASBURY AUTOMOTIVE GROUP INC reported revenue across 2 business segments; the largest, Dealerships, was $17.7B, 98.2% 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- Dealerships$17.7B98.2%+4.7% yoy
- TCA$326M1.8%+7.4% yoy
Members sum to the consolidated $18B for this period.
- New And Used Vehicle$14.7Bshare n/a+4.6% yoy
- Newvehicle$9.5Bshare n/a+7.3% yoy
- New Vehicle$9.5Bshare n/a+7.3% yoy
- Used Vehicles$5.23Bshare n/a+0.1% yoy
- Usedvehicleretail$4.55Bshare n/a-1.2% yoy
- Parts And Services$2.51Bshare n/a+6.5% yoy
- Partsandservices$2.51Bshare n/a+6.5% yoy
- Vehicle Repair And Maintenance Services$2Bshare n/a+8.5% 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.
- Dealerships$4.3B98.1%no prior
- TCA$82.2M1.9%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.