Luckin Coffee (LKNCY) Total Liabilities (2018 - 2026)
Luckin Coffee (LKNCY) recorded Total Liabilities of $2.76 billion in Q2 2026, up 47.2% from $1.87 billion a year earlier and up 22.1% from the prior quarter.
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Analysis
Luckin Coffee (LKNCY) Total Liabilities (2018 - 2026) Analysis & Trends
At the end of FY2025, Luckin Coffee reported Total Liabilities of $2.09 billion, up 32.2% from FY2024.
- Annual Total Liabilities has increased for three straight years, with a five-year compound annual growth rate of 15.7% (FY2020 to FY2025).
- Across earlier years, Total Liabilities came in at $1.58 billion in FY2024 (+10.8%), $1.43 billion in FY2023 (+81.6%), $787.44 million in FY2022 (-42.2%) and $1.36 billion in FY2021 (+34.7%).
- The Q2 2026 figure is the highest quarterly Total Liabilities in data going back to Q4 2018.
- On a year-over-year basis, Total Liabilities has increased for 13 consecutive quarters, with growth averaging 28.6% over the last eight quarters.
- Peak year-over-year performance for Total Liabilities in the last five years was growth of 83.3% in Q4 2023, against a decline of 42.7% in Q4 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at $2.26 billion (Q1 2026), $2.1 billion (Q4 2025) and $2.06 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 197.03 Bn | 191.85 Bn | 6.42 Bn | 60.94 Bn |
| 2 | Starbucks | 121.44 Bn | 109.07 Bn | - | 35.97 Bn |
| 3 | Yum Brands | 45.58 Bn | 42.47 Bn | 1.47 Bn | 15.79 Bn |
| 4 | Chipotle Mexican Grill | 45.08 Bn | 41.58 Bn | - | 6.98 Bn |
| 5 | Restaurant Brands International | 27.34 Bn | 23.13 Bn | 1.40 Bn | 19.74 Bn |
| 6 | Darden Restaurants | 25.92 Bn | 25.01 Bn | 1.68 Bn | 11.16 Bn |
| 7 | Restaurant Brands International Limited Partnership | 24.67 Bn | 20.46 Bn | 1.40 Bn | 19.74 Bn |
| 8 | Yum China Holdings | 17.29 Bn | 10.94 Bn | 537.00 Mn | 4.81 Bn |
| 9 | Texas Roadhouse | 12.62 Bn | 11.96 Bn | - | 2.09 Bn |
| 10 | Luckin Coffee | 10.74 Bn | 5.83 Bn | 1.64 Bn | 3.11 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 3.11 Bn |
| Jun 30, 2026 | 2.76 Bn |
| Mar 31, 2026 | 2.26 Bn |
| Dec 31, 2025 | 2.10 Bn |
| Sep 30, 2025 | 2.06 Bn |
| Jun 30, 2025 | 1.87 Bn |
| Mar 31, 2025 | 1.59 Bn |
| Dec 31, 2024 | 1.59 Bn |
| Sep 30, 2024 | 1.65 Bn |
| Jun 30, 2024 | 1.48 Bn |
| Mar 31, 2024 | 1.36 Bn |
| Dec 31, 2023 | 1.43 Bn |
| Sep 30, 2023 | 1.29 Bn |
| Jun 30, 2023 | 1.01 Bn |
| Mar 31, 2023 | 906.62 Mn |
| Dec 31, 2022 | 779.99 Mn |
| Sep 30, 2022 | 739.52 Mn |
| Jun 30, 2022 | 933.77 Mn |
| Mar 31, 2022 | 1.04 Bn |
| Dec 31, 2021 | 1.36 Bn |
API Access
Luckin Coffee Total 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-liabilities&ticker=LKNCY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-liabilities&ticker=LKNCY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();