Luckin Coffee (LKNCY) EBITDA (2020 - 2026)
Luckin Coffee's EBITDA came in at $242.64 million for Q2 2026, up 31.4% from $184.71 million a year earlier and up 534.6% from the prior quarter.
Luckin Coffee (LKNCY) EBITDA (2020 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Luckin Coffee reported EBITDA of $527.72 million, up 3.8% year-over-year; for FY2025, it was $946.34 million, up 46.1% from FY2024.
- EBITDA has increased in each of the last three years.
- Going back by year, EBITDA was $647.86 million in FY2024 (+26.7%), $511.3 million in FY2023 (+127.8%), $224.46 million in FY2022 and -$11.56 million in FY2021.
- The Q2 2026 figure represents the highest quarterly EBITDA in data going back to Q3 2020.
- Year-over-year, EBITDA increased in four of the last six quarters, with growth averaging 5.3%.
- The fastest year-over-year change in EBITDA over five years came in Q2 2023 (growth of 558.2%), and the weakest in Q4 2023 (a decline of 98.1%).
- Business Quant data shows LKNCY's EBITDA at $38.23 million (Q1 2026), $55.26 million (Q4 2025) and $191.59 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 197.03 Bn | 191.85 Bn | 6.42 Bn | 3.90 Bn |
| 2 | Starbucks | 121.44 Bn | 109.07 Bn | - | 1.37 Bn |
| 3 | Yum Brands | 45.58 Bn | 42.47 Bn | 1.47 Bn | 715.00 Mn |
| 4 | Chipotle Mexican Grill | 45.08 Bn | 41.58 Bn | - | 554.58 Mn |
| 5 | Restaurant Brands International | 27.34 Bn | 23.13 Bn | 1.40 Bn | 776.00 Mn |
| 6 | Darden Restaurants | 25.92 Bn | 25.01 Bn | 1.68 Bn | 463.50 Mn |
| 7 | Restaurant Brands International Limited Partnership | 24.67 Bn | 20.46 Bn | 1.40 Bn | 776.00 Mn |
| 8 | Yum China Holdings | 17.29 Bn | 10.94 Bn | 537.00 Mn | 468.00 Mn |
| 9 | Texas Roadhouse | 12.62 Bn | 11.96 Bn | - | 201.13 Mn |
| 10 | Luckin Coffee | 10.74 Bn | 5.83 Bn | 1.64 Bn | 337.51 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 337.51 Mn |
| Jun 30, 2026 | 242.64 Mn |
| Mar 31, 2026 | 38.23 Mn |
| Dec 31, 2025 | 55.26 Mn |
| Sep 30, 2025 | 191.59 Mn |
| Jun 30, 2025 | 184.71 Mn |
| Mar 31, 2025 | 54.99 Mn |
| Dec 31, 2024 | 90.87 Mn |
| Sep 30, 2024 | 177.97 Mn |
| Jun 30, 2024 | 184.36 Mn |
| Mar 31, 2024 | -44.94 Mn |
| Dec 31, 2023 | 617,000.00 |
| Sep 30, 2023 | 109.88 Mn |
| Jun 30, 2023 | 144.12 Mn |
| Mar 31, 2023 | 82.99 Mn |
| Dec 31, 2022 | 31.67 Mn |
| Sep 30, 2022 | 67.63 Mn |
| Jun 30, 2022 | 21.90 Mn |
| Mar 31, 2022 | -12.56 Mn |
| Dec 31, 2021 | -34.71 Mn |
Luckin Coffee EBITDA 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=ebitda&ticker=LKNCY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=LKNCY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();