Luckin Coffee (LKNCY) Return on Sales [ROS] (2018 - 2026)
Luckin Coffee (LKNCY) posted Return on Sales [ROS] of 15.40% for Q3 2026, up 3.78 percentage points from 11.62% a year earlier and up 2.04 percentage points from the prior quarter.
Powered by 
Analysis
Luckin Coffee (LKNCY) Return on Sales [ROS] (2018 - 2026) Analysis & Trends
For the trailing twelve months through Sep 30, 2026, Return on Sales [ROS] at Luckin Coffee was 11.02%, down 0.28 percentage points year-over-year; for FY2025, it was 10.29%, up 0.03 percentage points from FY2024.
- Annual Return on Sales [ROS] shows a five-year change of +74.44 percentage points (FY2020 to FY2025).
- In prior years, Luckin Coffee's Return on Sales [ROS] was 10.26% in FY2024 (-1.89 pp), 12.15% in FY2023 (+3.45 pp), 8.70% in FY2022 (+15.47 pp) and -6.77% in FY2021 (+57.38 pp).
- The Q3 2026 figure stands as the highest quarterly Return on Sales [ROS] since Q2 2023.
- On a year-over-year basis, Return on Sales [ROS] increased in four of the last eight quarters, with an average year-over-year change of +1.16 percentage points.
- The strongest year-over-year quarter for Return on Sales [ROS] in the past five years was Q4 2021, with a gain of 31.36 percentage points; the weakest was Q1 2024, with a drop of 14.24 percentage points.
- According to Business Quant data, Return on Sales [ROS] for the three prior quarters was 13.36% (Q2 2026), 5.97% (Q1 2026) and 6.43% (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 195.98 Bn | 190.80 Bn | 6.42 Bn | 47.02% |
| 2 | Starbucks | 120.13 Bn | 107.76 Bn | - | 10.52% |
| 3 | Yum Brands | 44.36 Bn | 41.25 Bn | 1.47 Bn | 30.20% |
| 4 | Chipotle Mexican Grill | 43.92 Bn | 40.41 Bn | - | 13.72% |
| 5 | Restaurant Brands International | 27.10 Bn | 22.88 Bn | 1.40 Bn | 27.56% |
| 6 | Darden Restaurants | 25.62 Bn | 24.72 Bn | 1.68 Bn | 9.98% |
| 7 | Restaurant Brands International Limited Partnership | 24.67 Bn | 20.46 Bn | 1.40 Bn | 27.56% |
| 8 | Yum China Holdings | 17.38 Bn | 11.04 Bn | 537.00 Mn | 11.09% |
| 9 | Texas Roadhouse | 12.08 Bn | 11.42 Bn | - | 8.50% |
| 10 | Luckin Coffee | 10.86 Bn | 5.95 Bn | 1.64 Bn | 15.40% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 15.40% |
| Jun 30, 2026 | 13.36% |
| Mar 31, 2026 | 5.97% |
| Dec 31, 2025 | 6.43% |
| Sep 30, 2025 | 11.62% |
| Jun 30, 2025 | 13.76% |
| Mar 31, 2025 | 8.32% |
| Dec 31, 2024 | 10.35% |
| Sep 30, 2024 | 15.30% |
| Jun 30, 2024 | 12.50% |
| Mar 31, 2024 | 1.05% |
| Dec 31, 2023 | 3.01% |
| Sep 30, 2023 | 13.36% |
| Jun 30, 2023 | 18.91% |
| Mar 31, 2023 | 15.29% |
| Dec 31, 2022 | 8.48% |
| Sep 30, 2022 | 15.03% |
| Jun 30, 2022 | 7.32% |
| Mar 31, 2022 | 0.67% |
| Dec 31, 2021 | -4.96% |
API Access
Luckin Coffee Return on Sales [ROS] 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-sales-%5Bros%5D&ticker=LKNCY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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-sales-%5Bros%5D&ticker=LKNCY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();