Msci (MSCI) Return on Capital Employed [ROCE] (2010 - 2026)
Msci (MSCI) posted Return on Capital Employed [ROCE] of 47.47% for Q3 2026, up 5.00 percentage points from 42.47% a year earlier and up 0.71 percentage points from the prior quarter.
Msci (MSCI) Return on Capital Employed [ROCE] (2010 - 2026) Analysis & Trends
For FY2025, Msci's Return on Capital Employed [ROCE] came in at 45.77%, up 6.54 percentage points from FY2024.
- Annual Return on Capital Employed [ROCE] has increased for six consecutive years, with a five-year change of +17.94 percentage points (FY2020 to FY2025).
- In prior years, Msci's Return on Capital Employed [ROCE] was 39.23% in FY2024 (+2.22 pp), 37.01% in FY2023 (+6.83 pp), 30.18% in FY2022 (+0.40 pp) and 29.78% in FY2021 (+1.96 pp).
- The Q3 2026 figure stands as the highest quarterly Return on Capital Employed [ROCE] in data going back to Q4 2010.
- On a year-over-year basis, Return on Capital Employed [ROCE] has increased in each of the last 18 quarters, with an average year-over-year change of +5.13 percentage points over the last eight quarters.
- The strongest year-over-year quarter for Return on Capital Employed [ROCE] in the past five years was Q4 2022, with a gain of 6.87 percentage points; the weakest was Q1 2022, with a drop of 3.38 percentage points.
- According to Business Quant data, Return on Capital Employed [ROCE] for the three prior quarters was 46.76% (Q2 2026), 44.72% (Q1 2026) and 46.11% (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | S&P Global | 132.72 Bn | 128.33 Bn | 2.98 Bn | 13.59% |
| 2 | Moodys | 83.35 Bn | 76.42 Bn | 1.50 Bn | 31.77% |
| 3 | Msci | 44.14 Bn | 42.62 Bn | 739.80 Mn | 47.47% |
| 4 | Verisk Analytics | 25.49 Bn | 20.13 Bn | 572.90 Mn | 40.09% |
| 5 | Equifax | 21.35 Bn | 20.74 Bn | 940.10 Mn | 11.82% |
| 6 | TransUnion | 15.61 Bn | 12.59 Bn | - | 8.33% |
| 7 | Factset Research Systems | 11.68 Bn | 10.53 Bn | 308.40 Mn | 22.75% |
| 8 | Morningstar | 8.44 Bn | 6.34 Bn | 423.90 Mn | 20.23% |
| 9 | Mastercard | 542.86 Bn | 502.77 Bn | - | 68.07% |
| 10 | Cme | 109.27 Bn | 97.61 Bn | - | 12.28% |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 47.47% |
| Jun 30, 2026 | 46.76% |
| Mar 31, 2026 | 44.72% |
| Dec 31, 2025 | 46.11% |
| Sep 30, 2025 | 42.47% |
| Jun 30, 2025 | 41.37% |
| Mar 31, 2025 | 39.87% |
| Dec 31, 2024 | 39.79% |
| Sep 30, 2024 | 36.85% |
| Jun 30, 2024 | 35.34% |
| Mar 31, 2024 | 34.13% |
| Dec 31, 2023 | 37.68% |
| Sep 30, 2023 | 36.64% |
| Jun 30, 2023 | 34.63% |
| Mar 31, 2023 | 32.29% |
| Dec 31, 2022 | 33.20% |
| Sep 30, 2022 | 31.55% |
| Jun 30, 2022 | 31.58% |
| Mar 31, 2022 | 28.11% |
| Dec 31, 2021 | 26.33% |
Msci 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=MSCI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "ticker": "MSCI", "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=MSCI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();