Luckin Coffee (LKNCY) Total Non-Current Liabilities (2018 - 2026)
Luckin Coffee (LKNCY) reported Total Non-Current Liabilities of $764.62 million for Q2 2026, up 46.9% from $520.57 million a year earlier and up 11.4% from the prior quarter.
Luckin Coffee (LKNCY) Total Non-Current Liabilities (2018 - 2026) Analysis & Trends
At the end of FY2025, Luckin Coffee posted Total Non-Current Liabilities of $664.49 million, up 44.2% from FY2024.
- Total Non-Current Liabilities has increased for four consecutive years, though with a five-year compound annual growth rate of -5.0% (FY2020 to FY2025).
- By year, Total Non-Current Liabilities came in at $460.97 million in FY2024 (+5.1%), $438.72 million in FY2023 (+195.4%), $148.51 million in FY2022 (+64.6%) and $90.24 million in FY2021 (-89.5%).
- The Q2 2026 figure ranks as the highest quarterly Total Non-Current Liabilities since Q4 2020.
- Year over year, Total Non-Current Liabilities has now increased in each of the last 12 quarters, with growth averaging 30.1% over the last eight quarters.
- The high point for year-over-year Total Non-Current Liabilities in five years was Q4 2023 (growth of 197.9%); the low point was Q4 2021 (a decline of 89.5%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $686.11 million (Q1 2026), $665.46 million (Q4 2025) and $604.77 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 197.03 Bn | 191.85 Bn | 6.42 Bn | 60.09 Bn |
| 2 | Starbucks | 121.44 Bn | 109.07 Bn | - | - |
| 3 | Yum Brands | 45.58 Bn | 42.47 Bn | 1.47 Bn | 13.75 Bn |
| 4 | Chipotle Mexican Grill | 45.08 Bn | 41.58 Bn | - | 6.89 Bn |
| 5 | Restaurant Brands International | 27.34 Bn | 23.13 Bn | 1.40 Bn | 18.84 Bn |
| 6 | Darden Restaurants | 25.92 Bn | 25.01 Bn | 1.68 Bn | 9.21 Bn |
| 7 | Restaurant Brands International Limited Partnership | 24.67 Bn | 20.46 Bn | 1.40 Bn | 18.84 Bn |
| 8 | Yum China Holdings | 17.29 Bn | 10.94 Bn | 537.00 Mn | 4.65 Bn |
| 9 | Texas Roadhouse | 12.62 Bn | 11.96 Bn | - | 1.88 Bn |
| 10 | Luckin Coffee | 10.74 Bn | 5.83 Bn | 1.64 Bn | 803.58 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 803.58 Mn |
| Jun 30, 2026 | 764.62 Mn |
| Mar 31, 2026 | 686.11 Mn |
| Dec 31, 2025 | 665.46 Mn |
| Sep 30, 2025 | 604.77 Mn |
| Jun 30, 2025 | 520.57 Mn |
| Mar 31, 2025 | 458.90 Mn |
| Dec 31, 2024 | 460.96 Mn |
| Sep 30, 2024 | 469.88 Mn |
| Jun 30, 2024 | 446.55 Mn |
| Mar 31, 2024 | 448.08 Mn |
| Dec 31, 2023 | 438.28 Mn |
| Sep 30, 2023 | 319.14 Mn |
| Jun 30, 2023 | 217.80 Mn |
| Mar 31, 2023 | 170.37 Mn |
| Dec 31, 2022 | 147.10 Mn |
| Sep 30, 2022 | 116.75 Mn |
| Jun 30, 2022 | 230.28 Mn |
| Mar 31, 2022 | 220.11 Mn |
| Dec 31, 2021 | 90.25 Mn |
Luckin Coffee Total Non-Current Liabilities 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-non-current-liabilities&ticker=LKNCY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "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-non-current-liabilities&ticker=LKNCY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();