Yum China Holdings (YUMC) Return on Capital Employed [ROCE] (2016 - 2026)
Yum China Holdings' Return on Capital Employed [ROCE] came in at 16.42% for Q2 2026, up 2.55 percentage points from 13.86% a year earlier and up 0.69 percentage points from the prior quarter.
Yum China Holdings (YUMC) Return on Capital Employed [ROCE] (2016 - 2026) Analysis & Trends
For FY2025, Yum China Holdings' Return on Capital Employed [ROCE] was 14.82%, up 2.31 percentage points from FY2024.
- Return on Capital Employed [ROCE] has increased in each of the last three years, with a five-year change of +0.78 percentage points (FY2020 to FY2025).
- Going back by year, Return on Capital Employed [ROCE] was 12.50% in FY2024 (+0.87 pp), 11.63% in FY2023 (+5.56 pp), 6.07% in FY2022 (-8.27 pp) and 14.34% in FY2021 (+0.30 pp).
- The Q2 2026 figure represents the highest quarterly Return on Capital Employed [ROCE] since Q4 2019.
- Year-over-year, Return on Capital Employed [ROCE] has increased for 11 consecutive quarters, with an average year-over-year change of +1.91 percentage points over the last eight quarters.
- The fastest year-over-year change in Return on Capital Employed [ROCE] over five years came in Q4 2023 (a gain of 4.93 percentage points), and the weakest in Q4 2022 (a drop of 7.33 percentage points).
- Business Quant data shows YUMC's Return on Capital Employed [ROCE] at 15.73% (Q1 2026), 14.89% (Q4 2025) and 14.37% (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 164.13 Bn | 158.95 Bn | 6.42 Bn | 22.88% |
| 2 | Starbucks | 107.97 Bn | 95.60 Bn | - | 15.26% |
| 3 | Chipotle Mexican Grill | 41.04 Bn | 37.02 Bn | - | 24.21% |
| 4 | Yum Brands | 37.16 Bn | 34.04 Bn | 1.47 Bn | 65.06% |
| 5 | Restaurant Brands International | 24.42 Bn | 21.52 Bn | 1.38 Bn | 11.51% |
| 6 | Darden Restaurants | 22.67 Bn | 21.77 Bn | 1.68 Bn | 15.87% |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn | 11.51% |
| 8 | Yum China Holdings | 13.79 Bn | 8.16 Bn | 537.00 Mn | 16.42% |
| 9 | Texas Roadhouse | 10.24 Bn | 9.60 Bn | - | 17.04% |
| 10 | Dominos Pizza | 9.85 Bn | 9.18 Bn | 478.23 Mn | 80.74% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 16.42% |
| Mar 31, 2026 | 15.73% |
| Dec 31, 2025 | 14.89% |
| Sep 30, 2025 | 14.37% |
| Jun 30, 2025 | 13.86% |
| Mar 31, 2025 | 13.38% |
| Dec 31, 2024 | 12.66% |
| Sep 30, 2024 | 12.31% |
| Jun 30, 2024 | 12.26% |
| Mar 31, 2024 | 11.32% |
| Dec 31, 2023 | 11.49% |
| Sep 30, 2023 | 11.03% |
| Jun 30, 2023 | 10.65% |
| Mar 31, 2023 | 8.72% |
| Dec 31, 2022 | 6.56% |
| Sep 30, 2022 | 12.50% |
| Jun 30, 2022 | 10.62% |
| Mar 31, 2022 | 11.39% |
| Dec 31, 2021 | 13.89% |
| Sep 30, 2021 | 10.13% |
Yum China Holdings 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=YUMC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "ticker": "YUMC", "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=YUMC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();