Luckin Coffee (LKNCY) Cash & Equivalents (2018 - 2026)
Luckin Coffee (LKNCY) reported Cash & Equivalents of $1.13 billion for Q3 2026, up 270.2% from $305.38 million a year earlier but down 0.4% from the prior quarter.
Powered by 
Analysis
Luckin Coffee (LKNCY) Cash & Equivalents (2018 - 2026) Analysis & Trends
At the end of FY2025, Luckin Coffee posted Cash & Equivalents of $327.44 million, down 45.2% from FY2024.
- Cash & Equivalents has a five-year compound annual growth rate of -15.0% (FY2020 to FY2025).
- By year, Cash & Equivalents came in at $597.74 million in FY2024 (+45.1%), $412.08 million in FY2023 (-19.6%), $512.43 million in FY2022 (-49.6%) and $1.02 billion in FY2021 (+38.0%).
- Five-year quarterly Cash & Equivalents spans a low of $245.97 million in Q1 2024 and a high of $1.14 billion in Q2 2026.
- Year over year, Cash & Equivalents gained in five of the last eight quarters, with growth averaging 62.5%.
- The high point for year-over-year Cash & Equivalents in five years was Q3 2026 (growth of 270.2%); the low point was Q1 2024 (a decline of 58.7%).
- Per Business Quant data, the three quarters before Q3 2026 came in at $1.14 billion (Q2 2026), $599.98 million (Q1 2026) and $327.91 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 195.98 Bn | 190.80 Bn | 6.42 Bn | 822.00 Mn |
| 2 | Starbucks | 120.13 Bn | 107.76 Bn | - | 3.45 Bn |
| 3 | Yum Brands | 44.36 Bn | 41.25 Bn | 1.47 Bn | 674.00 Mn |
| 4 | Chipotle Mexican Grill | 43.92 Bn | 40.41 Bn | - | 634.21 Mn |
| 5 | Restaurant Brands International | 27.10 Bn | 22.88 Bn | 1.40 Bn | 974.00 Mn |
| 6 | Darden Restaurants | 25.62 Bn | 24.72 Bn | 1.68 Bn | 220.50 Mn |
| 7 | Restaurant Brands International Limited Partnership | 24.67 Bn | 20.46 Bn | 1.40 Bn | 974.00 Mn |
| 8 | Yum China Holdings | 17.38 Bn | 11.04 Bn | 537.00 Mn | 485.00 Mn |
| 9 | Texas Roadhouse | 12.08 Bn | 11.42 Bn | - | 202.43 Mn |
| 10 | Luckin Coffee | 10.86 Bn | 5.95 Bn | 1.64 Bn | 1.13 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 1.13 Bn |
| Jun 30, 2026 | 1.14 Bn |
| Mar 31, 2026 | 599.98 Mn |
| Dec 31, 2025 | 327.91 Mn |
| Sep 30, 2025 | 305.38 Mn |
| Jun 30, 2025 | 538.15 Mn |
| Mar 31, 2025 | 624.53 Mn |
| Dec 31, 2024 | 597.73 Mn |
| Sep 30, 2024 | 542.30 Mn |
| Jun 30, 2024 | 477.51 Mn |
| Mar 31, 2024 | 245.97 Mn |
| Dec 31, 2023 | 411.67 Mn |
| Sep 30, 2023 | 553.43 Mn |
| Jun 30, 2023 | 644.29 Mn |
| Mar 31, 2023 | 595.83 Mn |
| Dec 31, 2022 | 507.58 Mn |
| Sep 30, 2022 | 553.06 Mn |
| Jun 30, 2022 | 657.47 Mn |
| Mar 31, 2022 | 779.50 Mn |
| Dec 31, 2021 | 1.02 Bn |
API Access
Luckin Coffee Cash & Equivalents 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=cash-and-equivalents&ticker=LKNCY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=LKNCY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();