Luckin Coffee (LKNCY) Total Current Liabilities (2018 - 2026)
Luckin Coffee's Total Current Liabilities was $1.77 billion in Q2 2026, up 55.1% from $1.14 billion a year earlier and up 30.9% from the prior quarter.
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Analysis
Luckin Coffee (LKNCY) Total Current Liabilities (2018 - 2026) Analysis & Trends
At the end of FY2025, Total Current Liabilities at Luckin Coffee came in at $1.21 billion, up 32.6% from FY2024.
- Total Current Liabilities has now increased for three consecutive years, with a five-year compound annual growth rate of 51.2% (FY2020 to FY2025).
- In earlier years, Total Current Liabilities was $915.64 million in FY2024 (+19.0%), $769.4 million in FY2023 (+87.6%), $410.14 million in FY2022 (-60.3%) and $1.03 billion in FY2021 (+574.3%).
- The Q2 2026 figure marks the highest quarterly Total Current Liabilities in data going back to Q4 2018.
- Compared with a year earlier, Total Current Liabilities has increased for 13 straight quarters, with growth averaging 35.0% over the last eight quarters.
- The best year-over-year quarter for Total Current Liabilities over five years was Q4 2021 (growth of 574.0%); the worst was Q4 2022 (a decline of 60.7%).
- Per Business Quant data, LKNCY's Total Current Liabilities in the three quarters before Q2 2026 was $1.35 billion (Q1 2026), $1.22 billion (Q4 2025) and $1.24 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 197.03 Bn | 191.85 Bn | 6.42 Bn | 4.02 Bn |
| 2 | Starbucks | 121.44 Bn | 109.07 Bn | - | 9.92 Bn |
| 3 | Yum Brands | 45.58 Bn | 42.47 Bn | 1.47 Bn | 4.29 Bn |
| 4 | Chipotle Mexican Grill | 45.08 Bn | 41.58 Bn | - | 1.45 Bn |
| 5 | Restaurant Brands International | 27.34 Bn | 23.13 Bn | 1.40 Bn | 2.42 Bn |
| 6 | Darden Restaurants | 25.92 Bn | 25.01 Bn | 1.68 Bn | 3.20 Bn |
| 7 | Restaurant Brands International Limited Partnership | 24.67 Bn | 20.46 Bn | 1.40 Bn | 2.42 Bn |
| 8 | Yum China Holdings | 17.29 Bn | 10.94 Bn | 537.00 Mn | 2.44 Bn |
| 9 | Texas Roadhouse | 12.62 Bn | 11.96 Bn | - | 790.79 Mn |
| 10 | Luckin Coffee | 10.74 Bn | 5.83 Bn | 1.64 Bn | 2.08 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 2.08 Bn |
| Jun 30, 2026 | 1.77 Bn |
| Mar 31, 2026 | 1.35 Bn |
| Dec 31, 2025 | 1.22 Bn |
| Sep 30, 2025 | 1.24 Bn |
| Jun 30, 2025 | 1.14 Bn |
| Mar 31, 2025 | 920.43 Mn |
| Dec 31, 2024 | 916.55 Mn |
| Sep 30, 2024 | 968.18 Mn |
| Jun 30, 2024 | 826.96 Mn |
| Mar 31, 2024 | 700.26 Mn |
| Dec 31, 2023 | 768.63 Mn |
| Sep 30, 2023 | 751.37 Mn |
| Jun 30, 2023 | 569.82 Mn |
| Mar 31, 2023 | 506.47 Mn |
| Dec 31, 2022 | 406.26 Mn |
| Sep 30, 2022 | 400.94 Mn |
| Jun 30, 2022 | 466.39 Mn |
| Mar 31, 2022 | 571.37 Mn |
| Dec 31, 2021 | 1.03 Bn |
API Access
Luckin Coffee Total 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-current-liabilities&ticker=LKNCY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-current-liabilities&ticker=LKNCY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();