Luckin Coffee (LKNCY) Total Debt (2018 - 2026)
Luckin Coffee (LKNCY) posted Total Debt of $286.11 million for Q2 2026.
Analysis
Luckin Coffee (LKNCY) Total Debt (2018 - 2026) Analysis & Trends
At the end of FY2024, Luckin Coffee's Total Debt came in at $45.71 million.
- Annual Total Debt shows a five-year compound annual growth rate of -13.8% (FY2019 to FY2024).
- In prior years, Luckin Coffee's Total Debt was $460 million in FY2021.
- The Q2 2026 figure stands as the highest quarterly Total Debt since Q4 2021.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 197.03 Bn | 191.85 Bn | 6.42 Bn | 39.86 Bn |
| 2 | Starbucks | 121.44 Bn | 109.07 Bn | - | 13.28 Bn |
| 3 | Yum Brands | 45.58 Bn | 42.47 Bn | 1.47 Bn | 12.28 Bn |
| 4 | Chipotle Mexican Grill | 45.08 Bn | 41.58 Bn | - | - |
| 5 | Restaurant Brands International | 27.34 Bn | 23.13 Bn | 1.40 Bn | 13.27 Bn |
| 6 | Darden Restaurants | 25.92 Bn | 25.01 Bn | 1.68 Bn | 2.62 Bn |
| 7 | Restaurant Brands International Limited Partnership | 24.67 Bn | 20.46 Bn | 1.40 Bn | 13.27 Bn |
| 8 | Yum China Holdings | 17.29 Bn | 10.94 Bn | 537.00 Mn | 66.00 Mn |
| 9 | Texas Roadhouse | 12.62 Bn | 11.96 Bn | - | 50.00 Mn |
| 10 | Luckin Coffee | 10.74 Bn | 5.83 Bn | 1.64 Bn | 484.28 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 484.28 Mn |
| Jun 30, 2026 | 286.11 Mn |
| Dec 31, 2024 | 45.71 Mn |
| Sep 30, 2024 | 42.79 Mn |
| Jun 30, 2024 | 41.28 Mn |
| Dec 31, 2021 | 460.04 Mn |
| Dec 31, 2019 | 95.50 Mn |
| Sep 30, 2019 | 33.15 Mn |
| Jun 30, 2019 | 53.51 Mn |
| Dec 31, 2018 | 44.75 Mn |
API Access
Luckin Coffee Total Debt 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=total-debt&ticker=LKNCY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-debt", "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=total-debt&ticker=LKNCY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();