Luckin Coffee (LKNCY) Prepaid Assets (2018 - 2025)
Luckin Coffee's Prepaid Assets came in at $355.39 million for Q4 2025, up 31.7% from $269.81 million a year earlier.
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Analysis
Luckin Coffee (LKNCY) Prepaid Assets (2018 - 2025) Analysis & Trends
At the end of FY2025, Luckin Coffee's Prepaid Assets was $359.77 million, up 35.5% from FY2024.
- Prepaid Assets has increased in each of the last three years, with a five-year compound annual growth rate of 20.2% (FY2020 to FY2025).
- Going back by year, Prepaid Assets was $265.56 million in FY2024 (+22.0%), $217.6 million in FY2023 (+39.3%), $156.26 million in FY2022 (-4.6%) and $163.83 million in FY2021 (+14.3%).
- The Q4 2025 figure represents the highest quarterly Prepaid Assets in data going back to Q4 2018.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Mcdonalds | 171.96 Bn | 166.78 Bn | 6.42 Bn |
| 2 | Starbucks | 110.34 Bn | 97.96 Bn | - |
| 3 | Yum Brands | 41.48 Bn | 38.36 Bn | 1.47 Bn |
| 4 | Chipotle Mexican Grill | 39.00 Bn | 34.98 Bn | - |
| 5 | Restaurant Brands International | 25.80 Bn | 21.35 Bn | 1.38 Bn |
| 6 | Darden Restaurants | 24.38 Bn | 23.48 Bn | 1.68 Bn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn |
| 8 | Yum China Holdings | 15.57 Bn | 9.23 Bn | 537.00 Mn |
| 9 | Texas Roadhouse | 11.21 Bn | 10.55 Bn | - |
| 10 | Luckin Coffee | 10.73 Bn | 9.81 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 360.29 Mn |
| Dec 31, 2024 | 265.56 Mn |
| Dec 31, 2023 | 217.38 Mn |
| Dec 31, 2022 | 154.78 Mn |
| Dec 31, 2021 | 163.84 Mn |
| Dec 31, 2020 | 143.43 Mn |
| Dec 31, 2019 | 246.05 Mn |
| Dec 31, 2018 | 53.15 Mn |
API Access
Luckin Coffee Prepaid Assets 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=prepaid-assets&ticker=LKNCY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "prepaid-assets", "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=prepaid-assets&ticker=LKNCY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();