Moodys (MCO) Net Margin (2009 - 2026)
Moodys (MCO) reported Net Margin of 40.18% for Q2 2026, up 9.73 percentage points from 30.45% a year earlier and up 8.39 percentage points from the prior quarter.
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Analysis
Moodys (MCO) Net Margin (2009 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Moodys' Net Margin came in at 34.25%, up 5.07 percentage points year-over-year; for FY2025, it came in at 31.86%, up 2.83 percentage points from FY2024.
- Net Margin has increased for three consecutive years, though with a five-year change of -1.24 percentage points (FY2020 to FY2025).
- By year, Net Margin came in at 29.03% in FY2024 (+1.87 pp), 27.16% in FY2023 (+2.04 pp), 25.13% in FY2022 (-10.48 pp) and 35.61% in FY2021 (+2.50 pp).
- The Q2 2026 figure ranks as the highest quarterly Net Margin since Q1 2021.
- Year over year, Net Margin gained in seven of the last eight quarters, with an average year-over-year change of +3.05 percentage points.
- The high point for year-over-year Net Margin in five years was Q2 2026 (a gain of 9.73 percentage points); the low point was Q2 2022 (a drop of 13.48 percentage points).
- Per Business Quant data, the three quarters before Q2 2026 came in at 31.79% (Q1 2026), 32.29% (Q4 2025) and 32.19% (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | S&P Global | 130.92 Bn | 121.51 Bn | 2.98 Bn | 29.35% |
| 2 | Moodys | 83.50 Bn | 75.78 Bn | 1.67 Bn | 40.18% |
| 3 | Msci | 43.53 Bn | 42.01 Bn | 739.80 Mn | 39.35% |
| 4 | Verisk Analytics | 25.14 Bn | 19.78 Bn | 572.90 Mn | 28.35% |
| 5 | Equifax | 20.60 Bn | 19.88 Bn | 940.10 Mn | 12.51% |
| 6 | TransUnion | 15.19 Bn | 12.02 Bn | - | 10.95% |
| 7 | Factset Research Systems | 11.67 Bn | 10.52 Bn | 308.40 Mn | 19.08% |
| 8 | Morningstar | 8.10 Bn | 6.00 Bn | 423.90 Mn | 16.25% |
| 9 | Mastercard | 548.82 Bn | 508.75 Bn | - | 47.30% |
| 10 | Cme | 106.61 Bn | 94.70 Bn | - | 61.06% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 40.18% |
| Mar 31, 2026 | 31.79% |
| Dec 31, 2025 | 32.29% |
| Sep 30, 2025 | 32.19% |
| Jun 30, 2025 | 30.45% |
| Mar 31, 2025 | 32.48% |
| Dec 31, 2024 | 23.62% |
| Sep 30, 2024 | 29.45% |
| Jun 30, 2024 | 30.38% |
| Mar 31, 2024 | 32.31% |
| Dec 31, 2023 | 22.97% |
| Sep 30, 2023 | 26.43% |
| Jun 30, 2023 | 25.23% |
| Mar 31, 2023 | 34.08% |
| Dec 31, 2022 | 19.07% |
| Sep 30, 2022 | 23.76% |
| Jun 30, 2022 | 23.68% |
| Mar 31, 2022 | 32.72% |
| Dec 31, 2021 | 27.75% |
| Sep 30, 2021 | 31.06% |
API Access
Moodys Net 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=net-margin&ticker=MCO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "net-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=net-margin&ticker=MCO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();