Luckin Coffee (LKNCY) Inventory (2018 - 2026)
Luckin Coffee's Inventory was $573.22 million in Q2 2026, up 33.3% from $429.95 million a year earlier and up 1.3% from the prior quarter.
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Analysis
Luckin Coffee (LKNCY) Inventory (2018 - 2026) 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 Q2 2026 figure marks the highest quarterly Inventory in data going back to Q4 2018.
- Compared with a year earlier, Inventory has increased for three straight quarters, with growth averaging 35.7% over the last eight quarters.
- The best year-over-year quarter for Inventory over five years was Q4 2021 (growth of 120.4%); the worst was Q3 2025 (a decline of 3.5%).
- Per Business Quant data, LKNCY's Inventory in the three quarters before Q2 2026 was $566.1 million (Q1 2026), $424.02 million (Q4 2025) and $429.04 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 197.03 Bn | 191.85 Bn | 6.42 Bn | 58.00 Mn |
| 2 | Starbucks | 121.44 Bn | 109.07 Bn | - | 2.21 Bn |
| 3 | Yum Brands | 45.58 Bn | 42.47 Bn | 1.47 Bn | - |
| 4 | Chipotle Mexican Grill | 45.08 Bn | 41.58 Bn | - | 48.87 Mn |
| 5 | Restaurant Brands International | 27.34 Bn | 23.13 Bn | 1.40 Bn | 237.00 Mn |
| 6 | Darden Restaurants | 25.92 Bn | 25.01 Bn | 1.68 Bn | 321.00 Mn |
| 7 | Restaurant Brands International Limited Partnership | 24.67 Bn | 20.46 Bn | 1.40 Bn | 237.00 Mn |
| 8 | Yum China Holdings | 17.29 Bn | 10.94 Bn | 537.00 Mn | 459.00 Mn |
| 9 | Texas Roadhouse | 12.62 Bn | 11.96 Bn | - | 49.69 Mn |
| 10 | Luckin Coffee | 10.74 Bn | 5.83 Bn | 1.64 Bn | 424.73 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 424.73 Mn |
| Jun 30, 2026 | 573.22 Mn |
| Mar 31, 2026 | 566.10 Mn |
| Dec 31, 2025 | 424.02 Mn |
| Sep 30, 2025 | 429.04 Mn |
| Jun 30, 2025 | 429.95 Mn |
| Mar 31, 2025 | 376.90 Mn |
| Dec 31, 2024 | 342.58 Mn |
| Sep 30, 2024 | 444.81 Mn |
| Jun 30, 2024 | 318.43 Mn |
| Mar 31, 2024 | 290.32 Mn |
| Dec 31, 2023 | 310.12 Mn |
| Sep 30, 2023 | 215.33 Mn |
| Jun 30, 2023 | 200.21 Mn |
| Mar 31, 2023 | 197.27 Mn |
| Dec 31, 2022 | 173.27 Mn |
| Sep 30, 2022 | 98.69 Mn |
| Jun 30, 2022 | 116.81 Mn |
| Mar 31, 2022 | 103.64 Mn |
| Dec 31, 2021 | 93.12 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();