Luckin Coffee (LKNCY) Other Accumulated Expenses (2018 - 2025)
Luckin Coffee (LKNCY) posted Other Accumulated Expenses of $37.97 million for Q4 2025, down 0.1% from $38.02 million a year earlier.
Powered by 
Analysis
Luckin Coffee (LKNCY) Other Accumulated Expenses (2018 - 2025) Analysis & Trends
At the end of FY2025, Luckin Coffee's Other Accumulated Expenses came in at $38.44 million, up 2.7% from FY2024.
- Annual Other Accumulated Expenses shows a five-year compound annual growth rate of 5.9% (FY2020 to FY2025).
- In prior years, Luckin Coffee's Other Accumulated Expenses was $37.42 million in FY2024 (-9.8%), $41.5 million in FY2023 (+105.2%), $20.23 million in FY2022 (-77.9%) and $91.45 million in FY2021 (+216.9%).
- The Q4 2025 figure stands as the lowest quarterly Other Accumulated Expenses since Q4 2022.
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 | 38.50 Mn |
| Dec 31, 2024 | 37.42 Mn |
| Dec 31, 2023 | 41.46 Mn |
| Dec 31, 2022 | 20.03 Mn |
| Dec 31, 2021 | 46.57 Mn |
| Dec 31, 2020 | 28.87 Mn |
| Dec 31, 2019 | 33.02 Mn |
| Dec 31, 2018 | 2.47 Mn |
API Access
Luckin Coffee Other Accumulated Expenses 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=other-accumulated-expenses&ticker=LKNCY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-accumulated-expenses", "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=other-accumulated-expenses&ticker=LKNCY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();