Luckin Coffee (LKNCY) Inventory (2018 - 2025)
Luckin Coffee's Inventory was $418.26 million in Q4 2025, up 20.2% from $348.07 million a year earlier.
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Analysis
Luckin Coffee (LKNCY) Inventory (2018 - 2025) Analysis & Trends
At the end of FY2025, Inventory at Luckin Coffee came in at $423.41 million, up 24.9% from FY2024.
- Inventory has now increased for five consecutive years, with a five-year compound annual growth rate of 58.6% (FY2020 to FY2025).
- In earlier years, Inventory was $338.91 million in FY2024 (+9.2%), $310.43 million in FY2023 (+77.5%), $174.92 million in FY2022 (+87.9%) and $93.11 million in FY2021 (+120.5%).
- The Q4 2025 figure marks the highest quarterly Inventory in data going back to Q4 2018.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 171.96 Bn | 166.78 Bn | 6.42 Bn | 58.00 Mn |
| 2 | Starbucks | 110.34 Bn | 97.96 Bn | - | 2.21 Bn |
| 3 | Yum Brands | 41.48 Bn | 38.36 Bn | 1.47 Bn | - |
| 4 | Chipotle Mexican Grill | 39.00 Bn | 34.98 Bn | - | 46.62 Mn |
| 5 | Restaurant Brands International | 25.80 Bn | 21.35 Bn | 1.38 Bn | 224.00 Mn |
| 6 | Darden Restaurants | 24.38 Bn | 23.48 Bn | 1.68 Bn | 321.00 Mn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn | 224.00 Mn |
| 8 | Yum China Holdings | 15.57 Bn | 9.23 Bn | 537.00 Mn | 459.00 Mn |
| 9 | Texas Roadhouse | 11.21 Bn | 10.55 Bn | - | 49.69 Mn |
| 10 | Luckin Coffee | 10.73 Bn | 9.81 Bn | - | 424.02 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 424.02 Mn |
| Dec 31, 2024 | 342.58 Mn |
| Dec 31, 2023 | 310.12 Mn |
| Dec 31, 2022 | 173.27 Mn |
| Dec 31, 2021 | 93.12 Mn |
| Dec 31, 2020 | 42.25 Mn |
| Dec 31, 2019 | 55.19 Mn |
| Dec 31, 2018 | 21.81 Mn |
API Access
Luckin Coffee Inventory 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=inventory&ticker=LKNCY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "inventory", "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=inventory&ticker=LKNCY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();