Moodys (MCO) EBITDA Margin (2009 - 2026)
Moodys (MCO) recorded EBITDA Margin of 53.64% in Q2 2026, up 4.22 percentage points from 49.42% a year earlier and up 3.42 percentage points from the prior quarter.
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Analysis
Moodys (MCO) EBITDA Margin (2009 - 2026) Analysis & Trends
On a TTM basis, Moodys' EBITDA Margin came in at 50.86% as of Jun 30, 2026, up 4.09 percentage points year-over-year; for FY2025, it was 49.64%, up 2.99 percentage points from FY2024.
- Annual EBITDA Margin has increased for three straight years, with a five-year change of +1.08 percentage points (FY2020 to FY2025).
- Across earlier years, EBITDA Margin came in at 46.64% in FY2024 (+4.21 pp), 42.43% in FY2023 (+1.94 pp), 40.49% in FY2022 (-9.38 pp) and 49.87% in FY2021 (+1.31 pp).
- The Q2 2026 figure is the highest quarterly EBITDA Margin since Q2 2021.
- On a year-over-year basis, EBITDA Margin has increased for five consecutive quarters, with an average year-over-year change of +2.61 percentage points over the last eight quarters.
- Peak year-over-year performance for EBITDA Margin in the last five years was a gain of 9.58 percentage points in Q4 2023, against a drop of 12.79 percentage points in Q2 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at 50.22% (Q1 2026), 47.33% (Q4 2025) and 51.82% (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | S&P Global | 115.73 Bn | 111.34 Bn | 2.98 Bn | 51.11% |
| 2 | Moodys | 78.77 Bn | 71.20 Bn | 1.67 Bn | 53.64% |
| 3 | Msci | 39.23 Bn | 37.58 Bn | 717.10 Mn | 62.00% |
| 4 | Verisk Analytics | 21.59 Bn | 16.23 Bn | 572.90 Mn | 55.10% |
| 5 | Equifax | 16.56 Bn | 15.96 Bn | 926.40 Mn | 29.74% |
| 6 | TransUnion | 12.32 Bn | 9.30 Bn | - | 31.96% |
| 7 | Factset Research Systems | 9.30 Bn | 8.06 Bn | 310.73 Mn | 34.06% |
| 8 | Morningstar | 6.99 Bn | 4.89 Bn | 423.90 Mn | 32.28% |
| 9 | Mastercard | 490.78 Bn | 450.70 Bn | - | 70.99% |
| 10 | Cme | 94.57 Bn | 94.57 Bn | - | 69.82% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 53.64% |
| Mar 31, 2026 | 50.22% |
| Dec 31, 2025 | 47.33% |
| Sep 30, 2025 | 51.82% |
| Jun 30, 2025 | 49.42% |
| Mar 31, 2025 | 49.84% |
| Dec 31, 2024 | 40.31% |
| Sep 30, 2024 | 46.66% |
| Jun 30, 2024 | 48.71% |
| Mar 31, 2024 | 50.45% |
| Dec 31, 2023 | 40.20% |
| Sep 30, 2023 | 42.80% |
| Jun 30, 2023 | 43.04% |
| Mar 31, 2023 | 43.67% |
| Dec 31, 2022 | 30.62% |
| Sep 30, 2022 | 38.90% |
| Jun 30, 2022 | 42.65% |
| Mar 31, 2022 | 48.23% |
| Dec 31, 2021 | 38.40% |
| Sep 30, 2021 | 48.30% |
API Access
Moodys EBITDA 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=ebitda-margin&ticker=MCO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda-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=ebitda-margin&ticker=MCO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();