Luckin Coffee (LKNCY) Return on Capital Employed [ROCE] (2019 - 2026)
Luckin Coffee (LKNCY) posted Return on Capital Employed [ROCE] of 27.90% for Q3 2026, up 1.33 percentage points from 26.57% a year earlier and up 3.00 percentage points from the prior quarter.
Luckin Coffee (LKNCY) Return on Capital Employed [ROCE] (2019 - 2026) Analysis & Trends
For FY2025, Luckin Coffee's Return on Capital Employed [ROCE] came in at 28.61%, up 3.81 percentage points from FY2024.
- Annual Return on Capital Employed [ROCE] shows a five-year change of +60.03 percentage points (FY2020 to FY2025).
- In prior years, Luckin Coffee's Return on Capital Employed [ROCE] was 24.80% in FY2024 (-8.53 pp), 33.33% in FY2023 (+20.59 pp), 12.74% in FY2022 (+25.83 pp) and -13.09% in FY2021 (+18.32 pp).
- The Q3 2026 figure stands as the highest quarterly Return on Capital Employed [ROCE] since Q2 2025.
- On a year-over-year basis, Return on Capital Employed [ROCE] increased in five of the last eight quarters, with an average year-over-year change of +2.20 percentage points.
- The strongest year-over-year quarter for Return on Capital Employed [ROCE] in the past five years was Q3 2022, with a gain of 33.27 percentage points; the weakest was Q2 2024, with a drop of 13.15 percentage points.
- According to Business Quant data, Return on Capital Employed [ROCE] for the three prior quarters was 24.90% (Q2 2026), 22.67% (Q1 2026) and 23.26% (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 195.98 Bn | 190.80 Bn | 6.42 Bn | 22.88% |
| 2 | Starbucks | 120.13 Bn | 107.76 Bn | - | 15.26% |
| 3 | Yum Brands | 44.36 Bn | 41.25 Bn | 1.47 Bn | 65.06% |
| 4 | Chipotle Mexican Grill | 43.92 Bn | 40.41 Bn | - | 23.30% |
| 5 | Restaurant Brands International | 27.10 Bn | 22.88 Bn | 1.40 Bn | 11.61% |
| 6 | Darden Restaurants | 25.62 Bn | 24.72 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 | 17.38 Bn | 11.04 Bn | 537.00 Mn | 16.42% |
| 9 | Texas Roadhouse | 12.08 Bn | 11.42 Bn | - | 17.04% |
| 10 | Luckin Coffee | 10.86 Bn | 5.95 Bn | 1.64 Bn | 27.90% |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 27.90% |
| Jun 30, 2026 | 24.90% |
| Mar 31, 2026 | 22.67% |
| Dec 31, 2025 | 23.26% |
| Sep 30, 2025 | 26.57% |
| Jun 30, 2025 | 29.38% |
| Mar 31, 2025 | 26.33% |
| Dec 31, 2024 | 22.83% |
| Sep 30, 2024 | 20.49% |
| Jun 30, 2024 | 17.59% |
| Mar 31, 2024 | 18.14% |
| Dec 31, 2023 | 24.91% |
| Sep 30, 2023 | 31.44% |
| Jun 30, 2023 | 30.74% |
| Mar 31, 2023 | 23.62% |
| Dec 31, 2022 | 15.70% |
| Sep 30, 2022 | 9.29% |
| Jun 30, 2022 | 1.58% |
| Mar 31, 2022 | -1.98% |
| Dec 31, 2021 | -12.74% |
Luckin Coffee 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=LKNCY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "ticker": "LKNCY", "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=LKNCY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();