Luckin Coffee (LKNCY) Preferred Stock Liabilities (2018 - 2025)
Luckin Coffee (LKNCY) posted Preferred Stock Liabilities of $216.5 million for Q4 2025, up 4.3% from $207.54 million a year earlier.
Luckin Coffee (LKNCY) Preferred Stock Liabilities (2018 - 2025) Analysis & Trends
At the end of FY2025, Luckin Coffee's Preferred Stock Liabilities came in at $216.19 million, up 4.2% from FY2024.
- Annual Preferred Stock Liabilities shows a five-year compound annual growth rate of -1.4% (FY2020 to FY2025).
- In prior years, Luckin Coffee's Preferred Stock Liabilities was $207.55 million in FY2024 (-6.6%), $222.26 million in FY2023 (-2.9%), $228.79 million in FY2022 (-3.7%) and $237.68 million in FY2021 (+2.3%).
- The Q4 2025 figure stands as the highest quarterly Preferred Stock Liabilities since Q4 2023.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Preferred Stock Liabilities (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
| Date | Value |
|---|---|
| Dec 31, 2025 | 216.50 Mn |
| Dec 31, 2024 | 207.54 Mn |
| Dec 31, 2023 | 222.04 Mn |
| Dec 31, 2022 | 226.63 Mn |
| Dec 31, 2021 | 237.70 Mn |
| Dec 31, 2020 | 232.23 Mn |
| Dec 31, 2018 | 622.11 Mn |
Luckin Coffee Preferred Stock Liabilities 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=preferred-stock-liabilities&ticker=LKNCY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "preferred-stock-liabilities", "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=preferred-stock-liabilities&ticker=LKNCY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();