Luckin Coffee (LKNCY) Other Operating Expenses (2018 - 2026)
Luckin Coffee's Other Operating Expenses was $1.05 billion in Q2 2026, up 32.0% from $794.39 million a year earlier and up 20.2% from the prior quarter.
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Analysis
Luckin Coffee (LKNCY) Other Operating Expenses (2018 - 2026) Analysis & Trends
On a trailing twelve-month basis, Luckin Coffee's Other Operating Expenses was $3.9 billion through Jun 30, 2026, up 49.8% year-over-year; for FY2025, it was $272.07 million.
- Other Operating Expenses shows a five-year compound annual growth rate of -10.9% (FY2020 to FY2025).
- In earlier years, Other Operating Expenses was $24.39 million in FY2024 (-77.4%), $107.83 million in FY2023, -$31.47 million in FY2022 and $17.23 million in FY2021 (-96.4%).
- Quarterly Other Operating Expenses has moved between $185.84 million (Q1 2022) and $1.06 billion (Q3 2025) over five years.
- Compared with a year earlier, Other Operating Expenses has increased for 20 straight quarters, with growth averaging 54.3% over the last eight quarters.
- Over the past five years, the year-over-year growth in Other Operating Expenses ranged from 12.9% (Q4 2022) to 85.9% (Q2 2025).
- Per Business Quant data, LKNCY's Other Operating Expenses in the three quarters before Q2 2026 was $871.94 million (Q1 2026), $918.56 million (Q4 2025) and $1.06 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Mcdonalds | 197.03 Bn | 191.85 Bn | 6.42 Bn |
| 2 | Starbucks | 121.44 Bn | 109.07 Bn | - |
| 3 | Yum Brands | 45.58 Bn | 42.47 Bn | 1.47 Bn |
| 4 | Chipotle Mexican Grill | 45.08 Bn | 41.58 Bn | - |
| 5 | Restaurant Brands International | 27.34 Bn | 23.13 Bn | 1.40 Bn |
| 6 | Darden Restaurants | 25.92 Bn | 25.01 Bn | 1.68 Bn |
| 7 | Restaurant Brands International Limited Partnership | 24.67 Bn | 20.46 Bn | 1.40 Bn |
| 8 | Yum China Holdings | 17.29 Bn | 10.94 Bn | 537.00 Mn |
| 9 | Texas Roadhouse | 12.62 Bn | 11.96 Bn | - |
| 10 | Luckin Coffee | 10.74 Bn | 5.83 Bn | 1.64 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 2.10 Bn |
| Jun 30, 2026 | 1.88 Bn |
| Mar 31, 2026 | 1.51 Bn |
| Dec 31, 2025 | 1.59 Bn |
| Sep 30, 2025 | 1.78 Bn |
| Jun 30, 2025 | 1.38 Bn |
| Mar 31, 2025 | 1.03 Bn |
| Dec 31, 2024 | 1.09 Bn |
| Sep 30, 2024 | 1.14 Bn |
| Jun 30, 2024 | 930.52 Mn |
| Mar 31, 2024 | 801.45 Mn |
| Dec 31, 2023 | 885.97 Mn |
| Sep 30, 2023 | 789.07 Mn |
| Jun 30, 2023 | 634.79 Mn |
| Mar 31, 2023 | 494.72 Mn |
| Dec 31, 2022 | 430.66 Mn |
| Sep 30, 2022 | 411.31 Mn |
| Jun 30, 2022 | 406.04 Mn |
| Mar 31, 2022 | 325.83 Mn |
| Dec 31, 2021 | 339.64 Mn |
API Access
Luckin Coffee Other Operating 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-operating-expenses&ticker=LKNCY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-operating-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-operating-expenses&ticker=LKNCY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();