Msci (MSCI) Return on Capital Employed [ROCE] (2009 - 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] (2009 - 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 | Msci | 236.00 Bn | 234.48 Bn | 739.80 Mn | 47.47% |
| 2 | S&P Global | 137.30 Bn | 132.50 Bn | 2.64 Bn | 16.62% |
| 3 | Moodys | 87.63 Bn | 80.69 Bn | 1.50 Bn | 31.77% |
| 4 | Verisk Analytics | 26.66 Bn | 22.85 Bn | 567.00 Mn | 40.49% |
| 5 | Equifax | 22.03 Bn | 21.43 Bn | 940.10 Mn | 11.82% |
| 6 | TransUnion | 15.46 Bn | 12.30 Bn | - | 8.80% |
| 7 | Factset Research Systems | 11.73 Bn | 10.58 Bn | 308.40 Mn | 22.75% |
| 8 | Morningstar | 9.14 Bn | 7.03 Bn | 431.40 Mn | 21.94% |
| 9 | Mastercard | 572.29 Bn | 532.37 Bn | - | 63.06% |
| 10 | Cme | 113.65 Bn | 101.99 Bn | 359.20 Mn | 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();