Moodys (MCO) EBIT (2009 - 2026)
Moodys' EBIT came in at $906 million for Q3 2026, down 1.2% from $917 million a year earlier and down 13.4% from the prior quarter.
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Analysis
Moodys (MCO) EBIT (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Sep 30, 2026, Moodys reported EBIT of $3.64 billion, up 16.0% year-over-year; for FY2025, it was $3.35 billion, up 16.6% from FY2024.
- EBIT has increased in each of the last three years, with a five-year compound annual growth rate of 7.0% (FY2020 to FY2025).
- Going back by year, EBIT 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 five-year range for quarterly EBIT is $306 million (Q4 2022) to $1.05 billion (Q2 2026).
- Year-over-year, EBIT increased in seven of the last eight quarters, with growth averaging 15.1%.
- The fastest year-over-year change in EBIT over five years came in Q4 2023 (growth of 62.7%), and the weakest in Q4 2022 (a decline of 40.5%).
- Business Quant data shows MCO's EBIT at $1.05 billion (Q2 2026), $922 million (Q1 2026) and $770 million (Q4 2025) in the three quarters before Q3 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBIT (Qtr) |
|---|---|---|---|---|---|
| 1 | S&P Global | 136.14 Bn | 125.99 Bn | 2.64 Bn | 1.96 Bn |
| 2 | Moodys | 87.37 Bn | 80.29 Bn | 1.50 Bn | 906.00 Mn |
| 3 | Msci | 46.53 Bn | 45.01 Bn | 739.80 Mn | 502.10 Mn |
| 4 | Verisk Analytics | 25.76 Bn | 20.40 Bn | 572.90 Mn | 363.70 Mn |
| 5 | Equifax | 21.57 Bn | 20.84 Bn | 940.10 Mn | 355.30 Mn |
| 6 | TransUnion | 15.42 Bn | 12.11 Bn | - | 267.20 Mn |
| 7 | Factset Research Systems | 11.51 Bn | 10.36 Bn | 308.40 Mn | 156.62 Mn |
| 8 | Morningstar | 9.02 Bn | 6.91 Bn | 431.40 Mn | 167.40 Mn |
| 9 | Mastercard | 571.76 Bn | 531.85 Bn | - | 5.86 Bn |
| 10 | Cme | 109.34 Bn | 97.67 Bn | - | 1.14 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 906.00 Mn |
| 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 |
API Access
Moodys EBIT 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=ebit&ticker=MCO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebit", "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=ebit&ticker=MCO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();