Luckin Coffee (LKNCY) Retained Earnings (2018 - 2025)
Luckin Coffee (LKNCY) recorded Retained Earnings of -$343.88 million in Q4 2025, compared with -$828.86 million a year earlier.
Analysis
Luckin Coffee (LKNCY) Retained Earnings (2018 - 2025) Analysis & Trends
At the end of FY2025, Luckin Coffee reported Retained Earnings of -$348.11 million.
- Across earlier years, Retained Earnings came in at -$818.28 million in FY2024, -$1.23 billion in FY2023, -$1.66 billion in FY2022 and -$1.85 billion in FY2021.
- The Q4 2025 figure is the highest quarterly Retained Earnings in data going back to Q4 2018.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Retained Earnings (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 171.96 Bn | 166.78 Bn | 6.42 Bn | 71.99 Bn |
| 2 | Starbucks | 110.34 Bn | 97.96 Bn | - | -8.54 Bn |
| 3 | Yum Brands | 41.48 Bn | 38.36 Bn | 1.47 Bn | -6.81 Bn |
| 4 | Chipotle Mexican Grill | 39.00 Bn | 34.98 Bn | - | -67.16 Mn |
| 5 | Restaurant Brands International | 25.80 Bn | 21.35 Bn | 1.38 Bn | 2.18 Bn |
| 6 | Darden Restaurants | 24.38 Bn | 23.48 Bn | 1.68 Bn | -259.50 Mn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn | - |
| 8 | Yum China Holdings | 15.57 Bn | 9.23 Bn | 537.00 Mn | 1.70 Bn |
| 9 | Texas Roadhouse | 11.21 Bn | 10.55 Bn | - | 1.56 Bn |
| 10 | Luckin Coffee | 10.73 Bn | 9.81 Bn | - | -348.62 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | -348.62 Mn |
| Dec 31, 2024 | -815.80 Mn |
| Dec 31, 2023 | -1.22 Bn |
| Dec 31, 2022 | -1.64 Bn |
| Dec 31, 2021 | -1.86 Bn |
| Dec 31, 2020 | -1.91 Bn |
| Dec 31, 2019 | -982.52 Mn |
| Dec 31, 2018 | -472.10 Mn |
API Access
Luckin Coffee Retained Earnings 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=retained-earnings&ticker=LKNCY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "retained-earnings", "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=retained-earnings&ticker=LKNCY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();