Luckin Coffee (LKNCY) Cost of Revenue (2018 - 2026)
Luckin Coffee's Cost of Revenue came in at $1.02 billion for Q3 2026, up 31.5% from $776.68 million a year earlier and up 13.4% from the prior quarter.
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Analysis
Luckin Coffee (LKNCY) Cost of Revenue (2018 - 2026) Analysis & Trends
Over the trailing twelve months to Sep 30, 2026, Luckin Coffee reported Cost of Revenue of $3.35 billion, up 37.6% year-over-year; for FY2025, it was $5.38 billion, up 44.6% from FY2024.
- Cost of Revenue has increased in each of the last seven years, with a five-year compound annual growth rate of 77.4% (FY2020 to FY2025).
- Going back by year, Cost of Revenue was $3.72 billion in FY2024 (+41.4%), $2.63 billion in FY2023 (+72.8%), $1.52 billion in FY2022 (+45.7%) and $1.04 billion in FY2021 (+241.7%).
- The Q3 2026 figure represents the highest quarterly Cost of Revenue in data going back to Q2 2018.
- Year-over-year, Cost of Revenue has increased for 21 consecutive quarters, with growth averaging 32.0% over the last eight quarters.
- The year-over-year growth in Cost of Revenue has ranged between 6.6% (Q4 2024) and 128.3% (Q4 2023) over the last five years.
- Business Quant data shows LKNCY's Cost of Revenue at $900.85 million (Q2 2026), $702.29 million (Q1 2026) and $729.03 million (Q4 2025) in the three quarters before Q3 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 195.98 Bn | 190.80 Bn | 6.42 Bn | 680.00 Mn |
| 2 | Starbucks | 120.13 Bn | 107.76 Bn | - | - |
| 3 | Yum Brands | 44.36 Bn | 41.25 Bn | 1.47 Bn | 700.00 Mn |
| 4 | Chipotle Mexican Grill | 43.92 Bn | 40.41 Bn | - | - |
| 5 | Restaurant Brands International | 27.10 Bn | 22.88 Bn | 1.40 Bn | 1.13 Bn |
| 6 | Darden Restaurants | 25.62 Bn | 24.72 Bn | 1.68 Bn | 1.52 Bn |
| 7 | Restaurant Brands International Limited Partnership | 24.67 Bn | 20.46 Bn | 1.40 Bn | 1.13 Bn |
| 8 | Yum China Holdings | 17.38 Bn | 11.04 Bn | 537.00 Mn | 2.60 Bn |
| 9 | Texas Roadhouse | 12.08 Bn | 11.42 Bn | - | - |
| 10 | Luckin Coffee | 10.86 Bn | 5.95 Bn | 1.64 Bn | 1.02 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 1.02 Bn |
| Jun 30, 2026 | 900.85 Mn |
| Mar 31, 2026 | 702.29 Mn |
| Dec 31, 2025 | 729.03 Mn |
| Sep 30, 2025 | 776.68 Mn |
| Jun 30, 2025 | 641.44 Mn |
| Mar 31, 2025 | 491.96 Mn |
| Dec 31, 2024 | 527.16 Mn |
| Sep 30, 2024 | 564.17 Mn |
| Jun 30, 2024 | 463.49 Mn |
| Mar 31, 2024 | 407.80 Mn |
| Dec 31, 2023 | 494.30 Mn |
| Sep 30, 2023 | 434.02 Mn |
| Jun 30, 2023 | 339.46 Mn |
| Mar 31, 2023 | 255.50 Mn |
| Dec 31, 2022 | 216.52 Mn |
| Sep 30, 2022 | 202.50 Mn |
| Jun 30, 2022 | 188.69 Mn |
| Mar 31, 2022 | 155.09 Mn |
| Dec 31, 2021 | 153.63 Mn |
API Access
Luckin Coffee Cost of Revenue 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=cost-of-revenue&ticker=LKNCY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-revenue", "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=cost-of-revenue&ticker=LKNCY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();