Moodys (MCO) Return on Capital Employed [ROCE] (2009 - 2026)
Moodys' Return on Capital Employed [ROCE] was 32.18% in Q2 2026, up 8.75 percentage points from 23.43% a year earlier and up 2.73 percentage points from the prior quarter.
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Analysis
Moodys (MCO) Return on Capital Employed [ROCE] (2009 - 2026) Analysis & Trends
For FY2025, Return on Capital Employed [ROCE] at Moodys came in at 26.41%, up 1.34 percentage points from FY2024.
- Return on Capital Employed [ROCE] has now increased for three consecutive years, with a five-year change of +0.22 percentage points (FY2020 to FY2025).
- In earlier years, Return on Capital Employed [ROCE] was 25.07% in FY2024 (+7.24 pp), 17.83% in FY2023 (+2.32 pp), 15.51% in FY2022 (-10.23 pp) and 25.74% in FY2021 (-0.46 pp).
- The Q2 2026 figure marks the highest quarterly Return on Capital Employed [ROCE] since Q3 2016.
- Compared with a year earlier, Return on Capital Employed [ROCE] has increased for 11 straight quarters, with an average year-over-year change of +4.44 percentage points over the last eight quarters.
- The best year-over-year quarter for Return on Capital Employed [ROCE] over five years was Q2 2026 (a gain of 8.75 percentage points); the worst was Q3 2022 (a drop of 8.61 percentage points).
- Per Business Quant data, MCO's Return on Capital Employed [ROCE] in the three quarters before Q2 2026 was 29.45% (Q1 2026), 26.51% (Q4 2025) and 24.26% (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | S&P Global | 113.90 Bn | 109.50 Bn | 2.98 Bn | 13.59% |
| 2 | Moodys | 76.48 Bn | 68.91 Bn | 1.67 Bn | 32.18% |
| 3 | Msci | 38.99 Bn | 37.33 Bn | 717.10 Mn | 46.76% |
| 4 | Verisk Analytics | 21.33 Bn | 15.96 Bn | 572.90 Mn | 40.09% |
| 5 | Equifax | 16.47 Bn | 15.87 Bn | 926.40 Mn | 12.32% |
| 6 | TransUnion | 12.16 Bn | 9.14 Bn | - | 8.33% |
| 7 | Factset Research Systems | 9.52 Bn | 8.28 Bn | 310.73 Mn | 22.94% |
| 8 | Morningstar | 6.89 Bn | 4.79 Bn | 423.90 Mn | 20.23% |
| 9 | Mastercard | 480.84 Bn | 440.75 Bn | - | 68.07% |
| 10 | Cme | 94.54 Bn | 94.54 Bn | - | 11.13% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 32.18% |
| Mar 31, 2026 | 29.45% |
| Dec 31, 2025 | 26.51% |
| Sep 30, 2025 | 24.26% |
| Jun 30, 2025 | 23.43% |
| Mar 31, 2025 | 23.58% |
| Dec 31, 2024 | 23.88% |
| Sep 30, 2024 | 23.13% |
| Jun 30, 2024 | 22.12% |
| Mar 31, 2024 | 20.85% |
| Dec 31, 2023 | 17.95% |
| Sep 30, 2023 | 15.98% |
| Jun 30, 2023 | 15.14% |
| Mar 31, 2023 | 15.43% |
| Dec 31, 2022 | 16.00% |
| Sep 30, 2022 | 17.34% |
| Jun 30, 2022 | 20.00% |
| Mar 31, 2022 | 22.58% |
| Dec 31, 2021 | 23.60% |
| Sep 30, 2021 | 25.95% |
API Access
Moodys Return on Capital Employed [ROCE] 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=return-on-capital-employed-%5Broce%5D&ticker=MCO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "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=return-on-capital-employed-%5Broce%5D&ticker=MCO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();