Moodys (MCO) Net Margin (2009 - 2026)
Moodys (MCO) reported Net Margin of 36.28% for Q3 2026, up 4.10 percentage points from 32.19% a year earlier but down 3.90 percentage points from the prior quarter.
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Analysis
Moodys (MCO) Net Margin (2009 - 2026) Analysis & Trends
Over the twelve months ended Sep 30, 2026, Moodys' Net Margin came in at 35.26%, up 5.35 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).
- Five-year quarterly Net Margin spans a low of 19.07% in Q4 2022 and a high of 40.18% in Q2 2026.
- Year over year, Net Margin gained in seven of the last eight quarters, with an average year-over-year change of +3.18 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 Q3 2026 came in at 40.18% (Q2 2026), 31.79% (Q1 2026) and 32.29% (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Msci | 236.00 Bn | 234.48 Bn | 739.80 Mn | 39.35% |
| 2 | S&P Global | 137.30 Bn | 132.50 Bn | 2.64 Bn | 33.71% |
| 3 | Moodys | 87.63 Bn | 80.69 Bn | 1.50 Bn | 36.28% |
| 4 | Verisk Analytics | 26.66 Bn | 22.85 Bn | 567.00 Mn | 27.10% |
| 5 | Equifax | 22.03 Bn | 21.43 Bn | 940.10 Mn | 12.51% |
| 6 | TransUnion | 15.46 Bn | 12.30 Bn | - | 11.90% |
| 7 | Factset Research Systems | 11.73 Bn | 10.58 Bn | 308.40 Mn | 19.08% |
| 8 | Morningstar | 9.14 Bn | 7.03 Bn | 431.40 Mn | 17.11% |
| 9 | Mastercard | 572.29 Bn | 532.37 Bn | - | 47.19% |
| 10 | Cme | 113.65 Bn | 101.99 Bn | 359.20 Mn | 59.68% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 36.28% |
| 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% |
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();