Moodys (MCO) Gross Margin (2009 - 2026)
Moodys (MCO) recorded Gross Margin of 74.10% in Q3 2026, down 1.39 percentage points from 75.49% a year earlier and down 2.20 percentage points from the prior quarter.
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Analysis
Moodys (MCO) Gross Margin (2009 - 2026) Analysis & Trends
On a TTM basis, Moodys' Gross Margin came in at 74.63% as of Sep 30, 2026, up 0.88 percentage points year-over-year; for FY2025, it came in at 74.44%, up 1.88 percentage points from FY2024.
- Annual Gross Margin has increased for three straight years, with a five-year change of +1.90 percentage points (FY2020 to FY2025).
- Across earlier years, Gross Margin came in at 72.56% in FY2024 (+1.08 pp), 71.48% in FY2023 (+0.98 pp), 70.50% in FY2022 (-3.17 pp) and 73.67% in FY2021 (+1.14 pp).
- Quarterly Gross Margin has ranged from 68.22% in Q4 2022 to 76.29% in Q2 2026 over the past five years.
- On a year-over-year basis, Gross Margin rose in five of the last eight quarters, with an average year-over-year change of +0.87 percentage points.
- Peak year-over-year performance for Gross Margin in the last five years was a gain of 3.73 percentage points in Q3 2025, against a drop of 5.00 percentage points in Q3 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at 76.29% (Q2 2026), 74.46% (Q1 2026) and 73.48% (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Gross Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Msci | 235.55 Bn | 234.03 Bn | 739.80 Mn | 82.94% |
| 2 | S&P Global | 137.22 Bn | 132.42 Bn | 2.64 Bn | 71.89% |
| 3 | Moodys | 88.04 Bn | 81.11 Bn | 1.50 Bn | 74.10% |
| 4 | Verisk Analytics | 26.17 Bn | 22.36 Bn | 567.00 Mn | 70.09% |
| 5 | Equifax | 22.05 Bn | 21.44 Bn | 940.10 Mn | 55.55% |
| 6 | TransUnion | 15.64 Bn | 12.48 Bn | - | - |
| 7 | Factset Research Systems | 11.49 Bn | 10.35 Bn | 308.40 Mn | 48.59% |
| 8 | Morningstar | 9.15 Bn | 7.04 Bn | 431.40 Mn | 64.19% |
| 9 | Mastercard | 570.55 Bn | 530.63 Bn | - | - |
| 10 | Cme | 110.48 Bn | 98.81 Bn | 359.20 Mn | 20.68% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 74.10% |
| Jun 30, 2026 | 76.29% |
| Mar 31, 2026 | 74.46% |
| Dec 31, 2025 | 73.48% |
| Sep 30, 2025 | 75.49% |
| Jun 30, 2025 | 74.24% |
| Mar 31, 2025 | 74.48% |
| Dec 31, 2024 | 70.28% |
| Sep 30, 2024 | 71.76% |
| Jun 30, 2024 | 74.19% |
| Mar 31, 2024 | 73.85% |
| Dec 31, 2023 | 71.55% |
| Sep 30, 2023 | 72.01% |
| Jun 30, 2023 | 71.49% |
| Mar 31, 2023 | 70.88% |
| Dec 31, 2022 | 68.22% |
| Sep 30, 2022 | 69.18% |
| Jun 30, 2022 | 71.54% |
| Mar 31, 2022 | 72.60% |
| Dec 31, 2021 | 68.49% |
API Access
Moodys Gross 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=gross-margin&ticker=MCO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "gross-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=gross-margin&ticker=MCO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();