Luckin Coffee (LKNCY) Income After Tax (2018 - 2026)
Luckin Coffee (LKNCY) recorded Income After Tax of $549.41 million in Q3 2026, up 63.4% from $336.28 million a year earlier and up 34.5% from the prior quarter.
Luckin Coffee (LKNCY) Income After Tax (2018 - 2026) Analysis & Trends
On a TTM basis, Luckin Coffee's Income After Tax came in at $1.28 billion as of Sep 30, 2026, up 33.7% year-over-year; for FY2025, it came in at $513.88 million, up 27.9% from FY2024.
- Annual Income After Tax has increased for three straight years.
- Across earlier years, Income After Tax came in at $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 Q3 2026 figure is the highest quarterly Income After Tax in data going back to Q2 2018.
- On a year-over-year basis, Income After Tax has increased for six consecutive quarters, with growth averaging 94.5% over the last seven quarters.
- Peak year-over-year performance for Income After Tax in the last five years was growth of 734.8% in Q1 2023, against a decline of 90.7% in Q1 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at $408.59 million (Q2 2026), $150.1 million (Q1 2026) and $168.24 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Income After Tax (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 195.98 Bn | 190.80 Bn | 6.42 Bn | 2.36 Bn |
| 2 | Starbucks | 120.13 Bn | 107.76 Bn | - | 1.04 Bn |
| 3 | Yum Brands | 44.36 Bn | 41.25 Bn | 1.47 Bn | 853.00 Mn |
| 4 | Chipotle Mexican Grill | 43.92 Bn | 40.41 Bn | - | 339.87 Mn |
| 5 | Restaurant Brands International | 27.10 Bn | 22.88 Bn | 1.40 Bn | 704.00 Mn |
| 6 | Darden Restaurants | 25.62 Bn | 24.72 Bn | 1.68 Bn | 234.30 Mn |
| 7 | Restaurant Brands International Limited Partnership | 24.67 Bn | 20.46 Bn | 1.40 Bn | 704.00 Mn |
| 8 | Yum China Holdings | 17.38 Bn | 11.04 Bn | 537.00 Mn | 262.00 Mn |
| 9 | Texas Roadhouse | 12.08 Bn | 11.42 Bn | - | 124.51 Mn |
| 10 | Luckin Coffee | 10.86 Bn | 5.95 Bn | 1.64 Bn | 549.41 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 549.41 Mn |
| Jun 30, 2026 | 408.59 Mn |
| Mar 31, 2026 | 150.10 Mn |
| Dec 31, 2025 | 168.24 Mn |
| Sep 30, 2025 | 336.28 Mn |
| Jun 30, 2025 | 322.14 Mn |
| Mar 31, 2025 | 141.15 Mn |
| Dec 31, 2024 | 154.85 Mn |
| Sep 30, 2024 | 286.42 Mn |
| Jun 30, 2024 | 119.87 Mn |
| Mar 31, 2024 | 11.70 Mn |
| Dec 31, 2023 | 32.94 Mn |
| Sep 30, 2023 | 112.78 Mn |
| Jun 30, 2023 | 199.98 Mn |
| Mar 31, 2023 | 125.21 Mn |
| Dec 31, 2022 | 92.81 Mn |
| Sep 30, 2022 | 132.31 Mn |
| Jun 30, 2022 | 13.48 Mn |
| Mar 31, 2022 | 15.00 Mn |
| Dec 31, 2021 | 130.44 Mn |
Luckin Coffee Income After Tax 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=profit-after-tax&ticker=LKNCY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "profit-after-tax", "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=profit-after-tax&ticker=LKNCY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();