Moodys (MCO) EBIT (2009 - 2026)
Moodys' EBIT came in at $1.05 billion for Q2 2026, up 27.9% from $818 million a year earlier and up 13.4% from the prior quarter.
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Analysis
Moodys (MCO) EBIT (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Moodys reported EBIT of $3.66 billion, up 23.4% 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 Q2 2026 figure represents the highest quarterly EBIT in data going back to Q1 2009.
- Year-over-year, EBIT has increased for 13 consecutive quarters, with growth averaging 20.0% over the last eight quarters.
- 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 $922 million (Q1 2026), $770 million (Q4 2025) and $917 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBIT (Qtr) |
|---|---|---|---|---|---|
| 1 | S&P Global | 115.73 Bn | 111.34 Bn | 2.98 Bn | 1.81 Bn |
| 2 | Moodys | 78.77 Bn | 71.20 Bn | 1.67 Bn | 1.05 Bn |
| 3 | Msci | 39.23 Bn | 37.58 Bn | 717.10 Mn | 487.50 Mn |
| 4 | Verisk Analytics | 21.59 Bn | 16.23 Bn | 572.90 Mn | 363.70 Mn |
| 5 | Equifax | 16.56 Bn | 15.96 Bn | 926.40 Mn | 314.20 Mn |
| 6 | TransUnion | 12.32 Bn | 9.30 Bn | - | 258.00 Mn |
| 7 | Factset Research Systems | 9.30 Bn | 8.06 Bn | 310.73 Mn | 166.30 Mn |
| 8 | Morningstar | 6.99 Bn | 4.89 Bn | 423.90 Mn | 160.60 Mn |
| 9 | Mastercard | 490.78 Bn | 450.70 Bn | - | 5.59 Bn |
| 10 | Cme | 94.57 Bn | 94.57 Bn | - | 1.11 Bn |
Historic Data
Download Data
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 |
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();