Luckin Coffee (LKNCY) Accumulated Expenses (2018 - 2026)
Luckin Coffee (LKNCY) reported Accumulated Expenses of $836.22 million for Q3 2026, up 31.8% from $634.3 million a year earlier and up 9.2% from the prior quarter.
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Analysis
Luckin Coffee (LKNCY) Accumulated Expenses (2018 - 2026) Analysis & Trends
At the end of FY2025, Luckin Coffee posted Accumulated Expenses of $592.09 million, up 42.7% from FY2024.
- Accumulated Expenses has increased for three consecutive years, with a five-year compound annual growth rate of 40.6% (FY2020 to FY2025).
- By year, Accumulated Expenses came in at $414.84 million in FY2024 (+15.2%), $360.14 million in FY2023 (+80.6%), $199.42 million in FY2022 (-3.9%) and $207.45 million in FY2021 (+92.5%).
- The Q3 2026 figure ranks as the highest quarterly Accumulated Expenses in data going back to Q4 2018.
- Year over year, Accumulated Expenses has now increased in each of the last 15 quarters, with growth averaging 39.2% over the last eight quarters.
- The high point for year-over-year Accumulated Expenses in five years was Q4 2021 (growth of 92.4%); the low point was Q4 2022 (a decline of 4.8%).
- Per Business Quant data, the three quarters before Q3 2026 came in at $765.97 million (Q2 2026), $674.83 million (Q1 2026) and $592.95 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Mcdonalds | 195.98 Bn | 190.80 Bn | 6.42 Bn |
| 2 | Starbucks | 120.13 Bn | 107.76 Bn | - |
| 3 | Yum Brands | 44.36 Bn | 41.25 Bn | 1.47 Bn |
| 4 | Chipotle Mexican Grill | 43.92 Bn | 40.41 Bn | - |
| 5 | Restaurant Brands International | 27.10 Bn | 22.88 Bn | 1.40 Bn |
| 6 | Darden Restaurants | 25.62 Bn | 24.72 Bn | 1.68 Bn |
| 7 | Restaurant Brands International Limited Partnership | 24.67 Bn | 20.46 Bn | 1.40 Bn |
| 8 | Yum China Holdings | 17.38 Bn | 11.04 Bn | 537.00 Mn |
| 9 | Texas Roadhouse | 12.08 Bn | 11.42 Bn | - |
| 10 | Luckin Coffee | 10.86 Bn | 5.95 Bn | 1.64 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 836.22 Mn |
| Jun 30, 2026 | 765.97 Mn |
| Mar 31, 2026 | 674.83 Mn |
| Dec 31, 2025 | 592.95 Mn |
| Sep 30, 2025 | 634.30 Mn |
| Jun 30, 2025 | 598.56 Mn |
| Mar 31, 2025 | 435.11 Mn |
| Dec 31, 2024 | 415.75 Mn |
| Sep 30, 2024 | 454.06 Mn |
| Jun 30, 2024 | 360.59 Mn |
| Mar 31, 2024 | 322.98 Mn |
| Dec 31, 2023 | 359.78 Mn |
| Sep 30, 2023 | 375.76 Mn |
| Jun 30, 2023 | 299.29 Mn |
| Mar 31, 2023 | 249.66 Mn |
| Dec 31, 2022 | 197.53 Mn |
| Sep 30, 2022 | 197.20 Mn |
| Jun 30, 2022 | 193.16 Mn |
| Mar 31, 2022 | 175.04 Mn |
| Dec 31, 2021 | 207.47 Mn |
API Access
Luckin Coffee 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=accumulated-expenses&ticker=LKNCY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=accumulated-expenses&ticker=LKNCY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();