Luckin Coffee (LKNCY) Revenue (2018 - 2026)
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Analysis
Luckin Coffee (LKNCY) Revenue (2018 - 2026) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Revenue (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 197.03 Bn | 191.85 Bn | 6.42 Bn | 7.10 Bn |
| 2 | Starbucks | 121.44 Bn | 109.07 Bn | - | 9.32 Bn |
| 3 | Yum Brands | 45.58 Bn | 42.47 Bn | 1.47 Bn | 2.17 Bn |
| 4 | Chipotle Mexican Grill | 45.08 Bn | 41.58 Bn | - | 3.29 Bn |
| 5 | Restaurant Brands International | 27.34 Bn | 23.13 Bn | 1.40 Bn | 2.53 Bn |
| 6 | Darden Restaurants | 25.92 Bn | 25.01 Bn | 1.68 Bn | 3.20 Bn |
| 7 | Restaurant Brands International Limited Partnership | 24.67 Bn | 20.46 Bn | 1.40 Bn | 2.53 Bn |
| 8 | Yum China Holdings | 17.29 Bn | 10.94 Bn | 537.00 Mn | 3.14 Bn |
| 9 | Texas Roadhouse | 12.62 Bn | 11.96 Bn | - | 1.68 Bn |
| 10 | Luckin Coffee | 10.74 Bn | 5.83 Bn | 1.64 Bn | 2.67 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 2.67 Bn |
| Jun 30, 2026 | 2.34 Bn |
| Mar 31, 2026 | 1.74 Bn |
| Dec 31, 2025 | 1.82 Bn |
| Sep 30, 2025 | 2.14 Bn |
| Jun 30, 2025 | 1.72 Bn |
| Mar 31, 2025 | 1.22 Bn |
| Dec 31, 2024 | 1.32 Bn |
| Sep 30, 2024 | 1.45 Bn |
| Jun 30, 2024 | 1.16 Bn |
| Mar 31, 2024 | 869.51 Mn |
| Dec 31, 2023 | 995.08 Mn |
| Sep 30, 2023 | 986.85 Mn |
| Jun 30, 2023 | 855.22 Mn |
| Mar 31, 2023 | 646.04 Mn |
| Dec 31, 2022 | 535.73 Mn |
| Sep 30, 2022 | 547.50 Mn |
| Jun 30, 2022 | 493.25 Mn |
| Mar 31, 2022 | 379.32 Mn |
| Dec 31, 2021 | 381.74 Mn |
API Access
Luckin Coffee 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=revenue&ticker=LKNCY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=revenue&ticker=LKNCY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();