Moodys (MCO) Operating Income (2009 - 2026)
Moodys' Operating Income was $1.05 billion in Q2 2026, up 27.9% from $818 million a year earlier and up 13.4% from the prior quarter.
Moodys (MCO) Operating Income (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Moodys' Operating Income was $3.66 billion through Jun 30, 2026, up 23.4% year-over-year; for FY2025, it was $3.35 billion, up 16.6% from FY2024.
- Operating Income has now increased for three consecutive years, with a five-year compound annual growth rate of 7.0% (FY2020 to FY2025).
- In earlier years, Operating Income was $2.88 billion in FY2024 (+34.5%), $2.14 billion in FY2023 (+13.5%), $1.88 billion in FY2022 (-33.8%) and $2.84 billion in FY2021 (+19.1%).
- The Q2 2026 figure marks the highest quarterly Operating Income in data going back to Q1 2009.
- Compared with a year earlier, Operating Income has increased for 13 straight quarters, with growth averaging 20.0% over the last eight quarters.
- The best year-over-year quarter for Operating Income over five years was Q4 2023 (growth of 62.7%); the worst was Q4 2022 (a decline of 40.5%).
- Per Business Quant data, MCO's Operating Income in the three quarters before Q2 2026 was $922 million (Q1 2026), $770 million (Q4 2025) and $917 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Op. Inc (Qtr) |
|---|---|---|---|---|---|
| 1 | S&P Global | 116.38 Bn | 111.98 Bn | 2.98 Bn | 1.81 Bn |
| 2 | Moodys | 78.67 Bn | 71.10 Bn | 1.67 Bn | 1.05 Bn |
| 3 | Msci | 39.16 Bn | 37.50 Bn | 717.10 Mn | 487.50 Mn |
| 4 | Verisk Analytics | 21.84 Bn | 16.48 Bn | 572.90 Mn | 363.70 Mn |
| 5 | Equifax | 16.14 Bn | 15.54 Bn | 926.40 Mn | 314.20 Mn |
| 6 | TransUnion | 11.72 Bn | 8.70 Bn | - | 258.00 Mn |
| 7 | Factset Research Systems | 9.66 Bn | 8.43 Bn | 310.73 Mn | 166.30 Mn |
| 8 | Morningstar | 7.13 Bn | 5.03 Bn | 423.90 Mn | 160.60 Mn |
| 9 | Mastercard | 480.27 Bn | 440.19 Bn | - | 5.59 Bn |
| 10 | Cme | 94.12 Bn | 94.12 Bn | - | 1.11 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.05 Bn |
| Mar 31, 2026 | 922.00 Mn |
| Dec 31, 2025 | 770.00 Mn |
| Sep 30, 2025 | 917.00 Mn |
| Jun 30, 2025 | 818.00 Mn |
| Mar 31, 2025 | 846.00 Mn |
| Dec 31, 2024 | 561.00 Mn |
| Sep 30, 2024 | 738.00 Mn |
| Jun 30, 2024 | 775.00 Mn |
| Mar 31, 2024 | 801.00 Mn |
| Dec 31, 2023 | 498.00 Mn |
| Sep 30, 2023 | 535.00 Mn |
| Jun 30, 2023 | 550.00 Mn |
| Mar 31, 2023 | 554.00 Mn |
| Dec 31, 2022 | 306.00 Mn |
| Sep 30, 2022 | 413.00 Mn |
| Jun 30, 2022 | 508.00 Mn |
| Mar 31, 2022 | 656.00 Mn |
| Dec 31, 2021 | 514.00 Mn |
| Sep 30, 2021 | 676.00 Mn |
Moodys Operating Income API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=operating-income&ticker=MCO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-income", "ticker": "MCO", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=operating-income&ticker=MCO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();