Morningstar (MORN) Return on Capital Employed [ROCE] (2010 - 2026)
Morningstar (MORN) recorded Return on Capital Employed [ROCE] of 20.23% in Q2 2026, up 0.77 percentage points from 19.46% a year earlier but down 0.39 percentage points from the prior quarter.
Morningstar (MORN) Return on Capital Employed [ROCE] (2010 - 2026) Analysis & Trends
For FY2025, Morningstar reported Return on Capital Employed [ROCE] of 20.93%, up 1.60 percentage points from FY2024.
- Annual Return on Capital Employed [ROCE] has increased for three straight years, with a five-year change of +9.64 percentage points (FY2020 to FY2025).
- Across earlier years, Return on Capital Employed [ROCE] came in at 19.32% in FY2024 (+10.31 pp), 9.01% in FY2023 (+1.67 pp), 7.34% in FY2022 (-5.54 pp) and 12.88% in FY2021 (+1.59 pp).
- Quarterly Return on Capital Employed [ROCE] has ranged from 4.69% in Q2 2023 to 20.89% in Q4 2025 over the past five years.
- On a year-over-year basis, Return on Capital Employed [ROCE] has increased for 11 consecutive quarters, with an average year-over-year change of +5.01 percentage points over the last eight quarters.
- Peak year-over-year performance for Return on Capital Employed [ROCE] in the last five years was a gain of 9.60 percentage points in Q2 2024, against a drop of 6.28 percentage points in Q1 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at 20.61% (Q1 2026), 20.89% (Q4 2025) and 20.21% (Q3 2025).
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
| Date | Value |
|---|---|
| Jun 30, 2026 | 20.23% |
| Mar 31, 2026 | 20.61% |
| Dec 31, 2025 | 20.89% |
| Sep 30, 2025 | 20.21% |
| Jun 30, 2025 | 19.46% |
| Mar 31, 2025 | 19.07% |
| Dec 31, 2024 | 18.72% |
| Sep 30, 2024 | 15.87% |
| Jun 30, 2024 | 14.28% |
| Mar 31, 2024 | 11.72% |
| Dec 31, 2023 | 9.25% |
| Sep 30, 2023 | 6.63% |
| Jun 30, 2023 | 4.69% |
| Mar 31, 2023 | 5.19% |
| Dec 31, 2022 | 6.55% |
| Sep 30, 2022 | 7.86% |
| Jun 30, 2022 | 10.69% |
| Mar 31, 2022 | 11.47% |
| Dec 31, 2021 | 12.72% |
| Sep 30, 2021 | 12.15% |
Morningstar 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=MORN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "ticker": "MORN", "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=MORN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();