Luckin Coffee (LKNCY) Net Income (2018 - 2026)
Luckin Coffee (LKNCY) posted Net Income of $218.65 million for Q2 2026, up 25.4% from $174.36 million a year earlier and up 198.6% from the prior quarter.
Luckin Coffee (LKNCY) Net Income (2018 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Net Income at Luckin Coffee was $545.06 million, down 0.4% year-over-year; for FY2025, it was $513.88 million, up 27.9% from FY2024.
- Annual Net Income has increased for three consecutive years.
- In prior years, Luckin Coffee's Net Income was $401.71 million in FY2024 (+0.1%), $401.12 million in FY2023 (+466.6%), $70.79 million in FY2022 (-34.3%) and $107.71 million in FY2021.
- The Q2 2026 figure stands as the highest quarterly Net Income in data going back to Q2 2018.
- On a year-over-year basis, Net Income increased in six of the last eight quarters, with growth averaging 95.2%.
- The strongest year-over-year quarter for Net Income in the past five years was Q1 2025, with growth of 515.5%; the weakest was Q4 2022, with a decline of 94.5%.
- According to Business Quant data, Net Income for the three prior quarters was $73.23 million (Q1 2026), $73.96 million (Q4 2025) and $179.22 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net Income (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 197.03 Bn | 191.85 Bn | 6.42 Bn | 2.36 Bn |
| 2 | Starbucks | 121.44 Bn | 109.07 Bn | - | 1.05 Bn |
| 3 | Yum Brands | 45.58 Bn | 42.47 Bn | 1.47 Bn | 853.00 Mn |
| 4 | Chipotle Mexican Grill | 45.08 Bn | 41.58 Bn | - | 339.87 Mn |
| 5 | Restaurant Brands International | 27.34 Bn | 23.13 Bn | 1.40 Bn | 704.00 Mn |
| 6 | Darden Restaurants | 25.92 Bn | 25.01 Bn | 1.68 Bn | 233.40 Mn |
| 7 | Restaurant Brands International Limited Partnership | 24.67 Bn | 20.46 Bn | 1.40 Bn | 704.00 Mn |
| 8 | Yum China Holdings | 17.29 Bn | 10.94 Bn | 537.00 Mn | 264.00 Mn |
| 9 | Texas Roadhouse | 12.62 Bn | 11.96 Bn | - | 124.51 Mn |
| 10 | Luckin Coffee | 10.74 Bn | 5.83 Bn | 1.64 Bn | 276.99 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 276.99 Mn |
| Jun 30, 2026 | 218.65 Mn |
| Mar 31, 2026 | 73.23 Mn |
| Dec 31, 2025 | 73.96 Mn |
| Sep 30, 2025 | 179.22 Mn |
| Jun 30, 2025 | 174.36 Mn |
| Mar 31, 2025 | 72.03 Mn |
| Dec 31, 2024 | 115.25 Mn |
| Sep 30, 2024 | 185.80 Mn |
| Jun 30, 2024 | 119.87 Mn |
| Mar 31, 2024 | 11.70 Mn |
| Dec 31, 2023 | 41.75 Mn |
| Sep 30, 2023 | 135.42 Mn |
| Jun 30, 2023 | 142.59 Mn |
| Mar 31, 2023 | 82.24 Mn |
| Dec 31, 2022 | 7.91 Mn |
| Sep 30, 2022 | 77.28 Mn |
| Jun 30, 2022 | 24.49 Mn |
| Mar 31, 2022 | 3.13 Mn |
| Dec 31, 2021 | 144.10 Mn |
Luckin Coffee Net Income 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=net-income&ticker=LKNCY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "net-income", "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=net-income&ticker=LKNCY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();