Luckin Coffee (LKNCY) Operating Leases (2021 - 2026)
Luckin Coffee (LKNCY) reported Operating Leases of $466.36 million for Q2 2026, up 28.2% from $363.84 million a year earlier and up 7.4% from the prior quarter.
Powered by 
Analysis
Luckin Coffee (LKNCY) Operating Leases (2021 - 2026) Analysis & Trends
At the end of FY2025, Luckin Coffee posted Operating Leases of $615.99 million, up 35.0% from FY2024.
- Operating Leases has increased for four consecutive years, with a four-year compound annual growth rate of 61.6% (FY2021 to FY2025).
- By year, Operating Leases came in at $456.36 million in FY2024 (+4.0%), $438.72 million in FY2023 (+195.4%), $148.51 million in FY2022 (+64.6%) and $90.24 million in FY2021.
- Five-year quarterly Operating Leases spans a low of $90.25 million in Q4 2021 and a high of $616.89 million in Q4 2025.
- Year over year, Operating Leases has now increased in each of the last three quarters, with growth averaging 10.7% over the last eight quarters.
- The high point for year-over-year Operating Leases in five years was Q4 2023 (growth of 197.9%); the low point was Q1 2025 (a decline of 25.8%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $434.26 million (Q1 2026), $616.89 million (Q4 2025) and $396.76 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Mcdonalds | 197.03 Bn | 191.85 Bn | 6.42 Bn |
| 2 | Starbucks | 121.44 Bn | 109.07 Bn | - |
| 3 | Yum Brands | 45.58 Bn | 42.47 Bn | 1.47 Bn |
| 4 | Chipotle Mexican Grill | 45.08 Bn | 41.58 Bn | - |
| 5 | Restaurant Brands International | 27.34 Bn | 23.13 Bn | 1.40 Bn |
| 6 | Darden Restaurants | 25.92 Bn | 25.01 Bn | 1.68 Bn |
| 7 | Restaurant Brands International Limited Partnership | 24.67 Bn | 20.46 Bn | 1.40 Bn |
| 8 | Yum China Holdings | 17.29 Bn | 10.94 Bn | 537.00 Mn |
| 9 | Texas Roadhouse | 12.62 Bn | 11.96 Bn | - |
| 10 | Luckin Coffee | 10.74 Bn | 5.83 Bn | 1.64 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 502.83 Mn |
| Jun 30, 2026 | 466.36 Mn |
| Mar 31, 2026 | 434.26 Mn |
| Dec 31, 2025 | 616.89 Mn |
| Sep 30, 2025 | 396.76 Mn |
| Jun 30, 2025 | 363.84 Mn |
| Mar 31, 2025 | 332.67 Mn |
| Dec 31, 2024 | 456.36 Mn |
| Sep 30, 2024 | 469.88 Mn |
| Jun 30, 2024 | 446.55 Mn |
| Mar 31, 2024 | 448.08 Mn |
| Dec 31, 2023 | 438.28 Mn |
| Sep 30, 2023 | 319.14 Mn |
| Jun 30, 2023 | 217.80 Mn |
| Mar 31, 2023 | 170.37 Mn |
| Dec 31, 2022 | 147.10 Mn |
| Sep 30, 2022 | 116.75 Mn |
| Jun 30, 2022 | 102.56 Mn |
| Mar 31, 2022 | 93.60 Mn |
| Dec 31, 2021 | 90.25 Mn |
API Access
Luckin Coffee Operating Leases 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=operating-leases&ticker=LKNCY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-leases", "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=operating-leases&ticker=LKNCY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();