Luckin Coffee (LKNCY) Non-Current Assets (2018 - 2026)
Luckin Coffee (LKNCY) recorded Non-Current Assets of $2.61 billion in Q2 2026, up 36.8% from $1.91 billion a year earlier and up 10.9% from the prior quarter.
Luckin Coffee (LKNCY) Non-Current Assets (2018 - 2026) Analysis & Trends
At the end of FY2025, Luckin Coffee reported Non-Current Assets of $2.27 billion, up 33.4% from FY2024.
- Annual Non-Current Assets has increased for seven straight years, with a five-year compound annual growth rate of 38.5% (FY2020 to FY2025).
- Across earlier years, Non-Current Assets came in at $1.7 billion in FY2024 (+12.8%), $1.51 billion in FY2023 (+133.8%), $644.22 million in FY2022 (+4.5%) and $616.57 million in FY2021 (+38.6%).
- The Q2 2026 figure is the highest quarterly Non-Current Assets in data going back to Q4 2018.
- On a year-over-year basis, Non-Current Assets has increased for 15 consecutive quarters, with growth averaging 26.9% over the last eight quarters.
- Over the past five years, the year-over-year growth in Non-Current Assets ranged from 3.5% (Q4 2022) to 135.8% (Q4 2023).
- Per Business Quant, the preceding three quarters came in at $2.35 billion (Q1 2026), $2.27 billion (Q4 2025) and $2.11 billion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 197.03 Bn | 191.85 Bn | 6.42 Bn | 55.58 Bn |
| 2 | Starbucks | 121.44 Bn | 109.07 Bn | - | 20.76 Bn |
| 3 | Yum Brands | 45.58 Bn | 42.47 Bn | 1.47 Bn | 6.14 Bn |
| 4 | Chipotle Mexican Grill | 45.08 Bn | 41.58 Bn | - | 8.26 Bn |
| 5 | Restaurant Brands International | 27.34 Bn | 23.13 Bn | 1.40 Bn | 22.95 Bn |
| 6 | Darden Restaurants | 25.92 Bn | 25.01 Bn | 1.68 Bn | 12.27 Bn |
| 7 | Restaurant Brands International Limited Partnership | 24.67 Bn | 20.46 Bn | 1.40 Bn | 22.95 Bn |
| 8 | Yum China Holdings | 17.29 Bn | 10.94 Bn | 537.00 Mn | 8.52 Bn |
| 9 | Texas Roadhouse | 12.62 Bn | 11.96 Bn | - | 3.31 Bn |
| 10 | Luckin Coffee | 10.74 Bn | 5.83 Bn | 1.64 Bn | 2.72 Bn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 2.72 Bn |
| Jun 30, 2026 | 2.61 Bn |
| Mar 31, 2026 | 2.35 Bn |
| Dec 31, 2025 | 2.27 Bn |
| Sep 30, 2025 | 2.11 Bn |
| Jun 30, 2025 | 1.91 Bn |
| Mar 31, 2025 | 1.72 Bn |
| Dec 31, 2024 | 1.70 Bn |
| Sep 30, 2024 | 1.71 Bn |
| Jun 30, 2024 | 1.62 Bn |
| Mar 31, 2024 | 1.60 Bn |
| Dec 31, 2023 | 1.50 Bn |
| Sep 30, 2023 | 1.16 Bn |
| Jun 30, 2023 | 851.18 Mn |
| Mar 31, 2023 | 711.12 Mn |
| Dec 31, 2022 | 638.13 Mn |
| Sep 30, 2022 | 570.46 Mn |
| Jun 30, 2022 | 582.20 Mn |
| Mar 31, 2022 | 629.02 Mn |
| Dec 31, 2021 | 616.62 Mn |
Luckin Coffee Non-Current Assets 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=non-current-assets&ticker=LKNCY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-assets", "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=non-current-assets&ticker=LKNCY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();