Luckin Coffee (LKNCY) Ending Cash Balance (2018 - 2026)
Luckin Coffee's Ending Cash Balance came in at $1.16 billion for Q3 2026, up 267.3% from $314.92 million a year earlier and up 0.6% from the prior quarter.
Luckin Coffee (LKNCY) Ending Cash Balance (2018 - 2026) Analysis & Trends
For FY2025, Luckin Coffee's Ending Cash Balance was $336.4 million, down 46.5% from FY2024.
- Ending Cash Balance carries a five-year compound annual growth rate of -15.4% (FY2020 to FY2025).
- Going back by year, Ending Cash Balance was $628.96 million in FY2024 (+51.1%), $416.37 million in FY2023 (-17.4%), $503.94 million in FY2022 (-47.0%) and $950.43 million in FY2021 (+22.6%).
- The Q3 2026 figure represents the highest quarterly Ending Cash Balance in data going back to Q2 2018.
- Year-over-year, Ending Cash Balance increased in five of the last eight quarters, with growth averaging 61.4%.
- The fastest year-over-year change in Ending Cash Balance over five years came in Q3 2026 (growth of 267.3%), and the weakest in Q1 2024 (a decline of 58.0%).
- Business Quant data shows LKNCY's Ending Cash Balance at $1.15 billion (Q2 2026), $609.25 million (Q1 2026) and $336.89 million (Q4 2025) in the three quarters before Q3 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Ending Cash Balance (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 | 884.00 Mn |
| 4 | Chipotle Mexican Grill | 43.92 Bn | 40.41 Bn | - | 670.01 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 | 228.60 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 | 1.16 Bn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 1.16 Bn |
| Jun 30, 2026 | 1.15 Bn |
| Mar 31, 2026 | 609.25 Mn |
| Dec 31, 2025 | 336.89 Mn |
| Sep 30, 2025 | 314.92 Mn |
| Jun 30, 2025 | 547.19 Mn |
| Mar 31, 2025 | 631.00 Mn |
| Dec 31, 2024 | 603.81 Mn |
| Sep 30, 2024 | 548.81 Mn |
| Jun 30, 2024 | 484.14 Mn |
| Mar 31, 2024 | 252.67 Mn |
| Dec 31, 2023 | 427.56 Mn |
| Sep 30, 2023 | 567.57 Mn |
| Jun 30, 2023 | 649.94 Mn |
| Mar 31, 2023 | 602.25 Mn |
| Dec 31, 2022 | 513.84 Mn |
| Sep 30, 2022 | 561.36 Mn |
| Jun 30, 2022 | 668.94 Mn |
| Mar 31, 2022 | 792.11 Mn |
| Dec 31, 2021 | 1.03 Bn |
Luckin Coffee Ending Cash Balance 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=ending-cash-balance&ticker=LKNCY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ending-cash-balance", "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=ending-cash-balance&ticker=LKNCY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();