LendingTree, Inc. TREE revenue by segment, product and geography
In its fiscal year ending 2025-12-31, LendingTree, Inc. reported revenue across 6 business segments; the largest, Insurance Segment, was $712M (+29.7% 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- Insurance Segment$712Mshare n/a+29.7% yoy
- Consumer Segment$253Mshare n/a+13.9% yoy
- Home Segment$152Mshare n/a+17.8% yoy
- Other Consumer$139Mshare n/a+14.8% yoy
- Personal Loans$114Mshare n/a+12.8% yoy
- All Other Segments$310Kshare n/a+55.8% yoy
member sum exceeds the consolidated figure: this axis carries more than one breakdown, so shares are not computed.
- Other Products And Services$310K100.0%+55.8% yoy
Members sum to $310K against $1.12B consolidated (residual $1.12B) - eliminations or corporate lines the filer did not tag on this axis.
- Insurance Segment$209M66.8%no prior
- Consumer Segment$60.3M19.2%no prior
- Home Segment$43.9M14.0%no prior
- All Other Segments-$7K0.0%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.