Luckin Coffee (LKNCY) Cash & Equivalents (2018 - 2025)
Luckin Coffee (LKNCY) reported Cash & Equivalents of $323.45 million for Q4 2025, down 46.7% from $607.3 million a year earlier.
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Analysis
Luckin Coffee (LKNCY) Cash & Equivalents (2018 - 2025) Analysis & Trends
At the end of FY2025, Luckin Coffee posted Cash & Equivalents of $327.44 million, down 45.2% from FY2024.
- Cash & Equivalents has a five-year compound annual growth rate of -15.0% (FY2020 to FY2025).
- By year, Cash & Equivalents came in at $597.74 million in FY2024 (+45.1%), $412.08 million in FY2023 (-19.6%), $512.43 million in FY2022 (-49.6%) and $1.02 billion in FY2021 (+38.0%).
- The Q4 2025 figure ranks as the lowest quarterly Cash & Equivalents since Q4 2018.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 171.96 Bn | 166.78 Bn | 6.42 Bn | 822.00 Mn |
| 2 | Starbucks | 110.34 Bn | 97.96 Bn | - | 3.45 Bn |
| 3 | Yum Brands | 41.48 Bn | 38.36 Bn | 1.47 Bn | 674.00 Mn |
| 4 | Chipotle Mexican Grill | 39.00 Bn | 34.98 Bn | - | 228.20 Mn |
| 5 | Restaurant Brands International | 25.80 Bn | 21.35 Bn | 1.38 Bn | 1.06 Bn |
| 6 | Darden Restaurants | 24.38 Bn | 23.48 Bn | 1.68 Bn | 220.50 Mn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn | 1.06 Bn |
| 8 | Yum China Holdings | 15.57 Bn | 9.23 Bn | 537.00 Mn | 485.00 Mn |
| 9 | Texas Roadhouse | 11.21 Bn | 10.55 Bn | - | 202.43 Mn |
| 10 | Luckin Coffee | 10.73 Bn | 9.81 Bn | - | 327.91 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 327.91 Mn |
| Dec 31, 2024 | 597.73 Mn |
| Dec 31, 2023 | 411.67 Mn |
| Dec 31, 2022 | 507.58 Mn |
| Dec 31, 2021 | 1.02 Bn |
| Dec 31, 2020 | 736.87 Mn |
| Dec 31, 2019 | 696.54 Mn |
| Dec 31, 2018 | 237.16 Mn |
API Access
Luckin Coffee Cash & Equivalents 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=cash-and-equivalents&ticker=LKNCY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=LKNCY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();