Moodys (MCO) EBT Margin (2009 - 2026)
Moodys (MCO) posted EBT Margin of 53.59% for Q2 2026, up 12.92 percentage points from 40.67% a year earlier and up 11.75 percentage points from the prior quarter.
Moodys (MCO) EBT Margin (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, EBT Margin at Moodys was 44.06%, up 5.68 percentage points year-over-year; for FY2025, it came in at 40.55%, up 2.48 percentage points from FY2024.
- Annual EBT Margin has increased for three consecutive years, though with a five-year change of -0.95 percentage points (FY2020 to FY2025).
- In prior years, Moodys' EBT Margin was 38.08% in FY2024 (+5.37 pp), 32.71% in FY2023 (+0.52 pp), 32.19% in FY2022 (-12.12 pp) and 44.31% in FY2021 (+2.81 pp).
- The Q2 2026 figure stands as the highest quarterly EBT Margin since Q1 2021.
- On a year-over-year basis, EBT Margin has increased in each of the last five quarters, with an average year-over-year change of +3.73 percentage points over the last eight quarters.
- The strongest year-over-year quarter for EBT Margin in the past five years was Q2 2026, with a gain of 12.92 percentage points; the weakest was Q2 2022, with a drop of 16.73 percentage points.
- According to Business Quant data, EBT Margin for the three prior quarters was 41.85% (Q1 2026), 36.37% (Q4 2025) and 43.20% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBT Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | S&P Global | 116.73 Bn | 112.33 Bn | 2.98 Bn | 41.70% |
| 2 | Moodys | 79.69 Bn | 72.12 Bn | 1.67 Bn | 53.59% |
| 3 | Msci | 39.48 Bn | 37.82 Bn | 717.10 Mn | 48.13% |
| 4 | Verisk Analytics | 21.83 Bn | 16.47 Bn | 572.90 Mn | 37.63% |
| 5 | Equifax | 17.14 Bn | 16.54 Bn | 926.40 Mn | 15.11% |
| 6 | TransUnion | 12.68 Bn | 9.66 Bn | - | 15.39% |
| 7 | Factset Research Systems | 9.57 Bn | 8.33 Bn | 310.73 Mn | 24.74% |
| 8 | Morningstar | 7.19 Bn | 5.09 Bn | 423.90 Mn | 22.17% |
| 9 | Mastercard | 494.77 Bn | 454.69 Bn | - | 59.14% |
| 10 | Cme | 94.58 Bn | 94.58 Bn | - | 77.82% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 53.59% |
| Mar 31, 2026 | 41.85% |
| Dec 31, 2025 | 36.37% |
| Sep 30, 2025 | 43.20% |
| Jun 30, 2025 | 40.67% |
| Mar 31, 2025 | 41.79% |
| Dec 31, 2024 | 31.40% |
| Sep 30, 2024 | 38.78% |
| Jun 30, 2024 | 39.57% |
| Mar 31, 2024 | 42.11% |
| Dec 31, 2023 | 30.41% |
| Sep 30, 2023 | 33.08% |
| Jun 30, 2023 | 32.93% |
| Mar 31, 2023 | 34.42% |
| Dec 31, 2022 | 25.35% |
| Sep 30, 2022 | 29.88% |
| Jun 30, 2022 | 32.08% |
| Mar 31, 2022 | 40.01% |
| Dec 31, 2021 | 33.53% |
| Sep 30, 2021 | 40.56% |
Moodys EBT Margin 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=ebt-margin&ticker=MCO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebt-margin", "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=ebt-margin&ticker=MCO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();