Luckin Coffee (LKNCY) Operating Income (2018 - 2026)
Luckin Coffee's Operating Income was $410.66 million in Q3 2026, up 64.9% from $249.07 million a year earlier and up 31.5% from the prior quarter.
Luckin Coffee (LKNCY) Operating Income (2018 - 2026) Analysis & Trends
On a trailing twelve-month basis, Luckin Coffee's Operating Income was $943.76 million through Sep 30, 2026, up 30.4% year-over-year; for FY2025, it was $724.05 million, up 49.4% from FY2024.
- Operating Income has now increased for three consecutive years.
- In earlier years, Operating Income was $484.8 million in FY2024 (+13.8%), $426.15 million in FY2023 (+154.2%), $167.63 million in FY2022 and -$84.59 million in FY2021.
- The Q3 2026 figure marks the highest quarterly Operating Income in data going back to Q2 2018.
- Compared with a year earlier, Operating Income has increased for three straight quarters, with growth averaging 73.7% over the last seven quarters.
- The best year-over-year quarter for Operating Income over five years was Q4 2024 (growth of 355.1%); the worst was Q4 2023 (a decline of 34.0%).
- Per Business Quant data, LKNCY's Operating Income in the three quarters before Q3 2026 was $312.29 million (Q2 2026), $103.57 million (Q1 2026) and $117.24 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Op. Inc (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 195.98 Bn | 190.80 Bn | 6.42 Bn | 3.34 Bn |
| 2 | Starbucks | 120.13 Bn | 107.76 Bn | - | 980.40 Mn |
| 3 | Yum Brands | 44.36 Bn | 41.25 Bn | 1.47 Bn | 655.00 Mn |
| 4 | Chipotle Mexican Grill | 43.92 Bn | 40.41 Bn | - | 451.96 Mn |
| 5 | Restaurant Brands International | 27.10 Bn | 22.88 Bn | 1.40 Bn | 696.00 Mn |
| 6 | Darden Restaurants | 25.62 Bn | 24.72 Bn | 1.68 Bn | 319.30 Mn |
| 7 | Restaurant Brands International Limited Partnership | 24.67 Bn | 20.46 Bn | 1.40 Bn | 696.00 Mn |
| 8 | Yum China Holdings | 17.38 Bn | 11.04 Bn | 537.00 Mn | 348.00 Mn |
| 9 | Texas Roadhouse | 12.08 Bn | 11.42 Bn | - | 142.79 Mn |
| 10 | Luckin Coffee | 10.86 Bn | 5.95 Bn | 1.64 Bn | 410.66 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 410.66 Mn |
| Jun 30, 2026 | 312.29 Mn |
| Mar 31, 2026 | 103.57 Mn |
| Dec 31, 2025 | 117.24 Mn |
| Sep 30, 2025 | 249.07 Mn |
| Jun 30, 2025 | 237.04 Mn |
| Mar 31, 2025 | 101.50 Mn |
| Dec 31, 2024 | 136.34 Mn |
| Sep 30, 2024 | 222.14 Mn |
| Jun 30, 2024 | 144.58 Mn |
| Mar 31, 2024 | -9.02 Mn |
| Dec 31, 2023 | 29.96 Mn |
| Sep 30, 2023 | 131.81 Mn |
| Jun 30, 2023 | 161.74 Mn |
| Mar 31, 2023 | 98.78 Mn |
| Dec 31, 2022 | 45.41 Mn |
| Sep 30, 2022 | 82.27 Mn |
| Jun 30, 2022 | 36.13 Mn |
| Mar 31, 2022 | 2.53 Mn |
| Dec 31, 2021 | -18.95 Mn |
Luckin Coffee Operating 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=operating-income&ticker=LKNCY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-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=operating-income&ticker=LKNCY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();