Duolingo, Inc. DUOL revenue by segment, product and geography
In its fiscal year ending 2025-12-31, Duolingo, Inc. reported revenue across 6 products and services; the largest, License And Service, was $873M (+43.8% 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- License And Service$873Mshare n/a+43.8% yoy
- Product And Service Other$164Mshare n/a+16.8% yoy
- Advertising$79.7Mshare n/a+45.2% yoy
- English Test$42Mshare n/a-8.0% yoy
- IA Ps$40.5Mshare n/a+4.7% yoy
- Product And Service Other Miscellaneous$1.94Mshare n/a+49.8% yoy
member sum exceeds the consolidated figure: this axis carries more than one breakdown, so shares are not computed.
- Outside the United States$645M62.2%+47.9% yoy
- United States$392M37.8%+25.9% yoy
Members sum to the consolidated $1.04B for this period.
- License And Service$251M85.9%+31.4% yoy
- Advertising$20.6M7.1%+15.3% yoy
- English Test$11.3M3.9%-5.6% yoy
- In App Purchases$8.45M2.9%-10.5% yoy
- Product And Service Other$682K0.2%+52.9% 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.