MOODYS CORP /DE/ MCO revenue by segment, product and geography
In its fiscal year ending 2025-12-31, MOODYS CORP /DE/ reported revenue across 2 business segments; the largest, Moodys Investors Service, was $4.12B, 53.4% of the filed sum (+8.6% 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- Moodys Investors Service$4.12B53.4%+8.6% yoy
- Moodys Analytics$3.6B46.6%+9.2% yoy
Members sum to the consolidated $7.72B for this period.
- Recurring Revenue$4.84B62.7%+10.0% yoy
- Transaction Revenue$2.88B37.3%+7.1% yoy
Members sum to the consolidated $7.72B for this period.
- United States$4.17Bshare n/a+8.7% yoy
- Outside the United States$3.55Bshare n/a+9.1% yoy
- EMEA$2.38Bshare n/a+9.3% yoy
- Asia Pacific$699Mshare n/a+11.1% yoy
- Americas$472Mshare n/a+5.1% yoy
member sum exceeds the consolidated figure: this axis carries more than one breakdown, so shares are not computed.
- Moodys Investors Service$1.26B57.7%+24.8% yoy
- Moodys Analytics$925M42.3%+4.2% 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.