Mcdonalds (MCD) Return on Capital Employed [ROCE] (2009 - 2026)
Mcdonalds (MCD) recorded Return on Capital Employed [ROCE] of 22.88% in Q2 2026, up 0.63 percentage points from 22.25% a year earlier and up 0.05 percentage points from the prior quarter.
Mcdonalds (MCD) Return on Capital Employed [ROCE] (2009 - 2026) Analysis & Trends
For FY2025, Mcdonalds reported Return on Capital Employed [ROCE] of 23.39%, up 0.78 percentage points from FY2024.
- Annual Return on Capital Employed [ROCE] has a five-year change of +6.70 percentage points (FY2020 to FY2025).
- Across earlier years, Return on Capital Employed [ROCE] came in at 22.61% in FY2024 (-2.48 pp), 25.08% in FY2023 (+5.70 pp), 19.38% in FY2022 (-1.66 pp) and 21.04% in FY2021 (+4.35 pp).
- The Q2 2026 figure is the highest quarterly Return on Capital Employed [ROCE] since Q3 2024.
- On a year-over-year basis, Return on Capital Employed [ROCE] rose in two of the last eight quarters, with an average year-over-year change of -0.70 percentage points.
- Peak year-over-year performance for Return on Capital Employed [ROCE] in the last five years was a gain of 4.92 percentage points in Q4 2021, against a drop of 2.04 percentage points in Q4 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at 22.83% (Q1 2026), 22.25% (Q4 2025) and 22.42% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 196.51 Bn | 191.33 Bn | 6.42 Bn | 22.88% |
| 2 | Starbucks | 119.99 Bn | 107.62 Bn | - | 15.26% |
| 3 | Yum Brands | 44.85 Bn | 41.74 Bn | 1.47 Bn | 65.06% |
| 4 | Chipotle Mexican Grill | 44.47 Bn | 40.97 Bn | - | 23.30% |
| 5 | Restaurant Brands International | 27.34 Bn | 23.13 Bn | 1.40 Bn | 11.61% |
| 6 | Darden Restaurants | 25.81 Bn | 24.91 Bn | 1.68 Bn | 15.87% |
| 7 | Restaurant Brands International Limited Partnership | 24.67 Bn | 20.46 Bn | 1.40 Bn | 11.61% |
| 8 | Yum China Holdings | 17.31 Bn | 10.96 Bn | 537.00 Mn | 16.42% |
| 9 | Texas Roadhouse | 12.15 Bn | 11.49 Bn | - | 17.04% |
| 10 | Dominos Pizza | 11.07 Bn | 10.32 Bn | 476.38 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 22.88% |
| Mar 31, 2026 | 22.83% |
| Dec 31, 2025 | 22.25% |
| Sep 30, 2025 | 22.42% |
| Jun 30, 2025 | 22.25% |
| Mar 31, 2025 | 22.46% |
| Dec 31, 2024 | 22.60% |
| Sep 30, 2024 | 23.92% |
| Jun 30, 2024 | 23.45% |
| Mar 31, 2024 | 23.73% |
| Dec 31, 2023 | 24.64% |
| Sep 30, 2023 | 24.18% |
| Jun 30, 2023 | 23.09% |
| Mar 31, 2023 | 20.58% |
| Dec 31, 2022 | 20.52% |
| Sep 30, 2022 | 20.24% |
| Jun 30, 2022 | 20.20% |
| Mar 31, 2022 | 21.58% |
| Dec 31, 2021 | 21.02% |
| Sep 30, 2021 | 21.40% |
Mcdonalds 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=MCD&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "ticker": "MCD", "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=MCD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();