Luckin Coffee (LKNCY) Shares Outstanding (2018 - 2026)
Luckin Coffee's Weighted Average Shares Outstanding was 320.64 million in Q2 2026, up 0.8% from 318.25 million a year earlier and unchanged from the prior quarter.
Luckin Coffee (LKNCY) Shares Outstanding (2018 - 2026) Analysis & Trends
From Q2 2018 onward, Luckin Coffee has reported Weighted Average Shares Outstanding for 30 quarters.
- Weighted Average Shares Outstanding has now increased for eight consecutive years, with a five-year compound annual growth rate of 4.9% (FY2020 to FY2025).
- In earlier years, Weighted Average Shares Outstanding was 318.25 million in FY2024 (+0.5%), 316.51 million in FY2023 (+2.4%), 309.13 million in FY2022 (+22.1%) and 253.17 million in FY2021 (+0.2%).
- Compared with a year earlier, Weighted Average Shares Outstanding has increased for 20 straight quarters, with growth averaging 0.9% over the last eight quarters.
- The year-over-year growth in Weighted Average Shares Outstanding has ranged between 0.2% (Q4 2021) and 25.6% (Q3 2021) over the last five years.
- Per Business Quant data, LKNCY's Weighted Average Shares Outstanding in the three quarters before Q2 2026 was 320.64 million (Q1 2026), 320.64 million (Q4 2025) and 318.25 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 197.03 Bn | 191.85 Bn | 6.42 Bn | 709.10 Mn |
| 2 | Starbucks | 121.44 Bn | 109.07 Bn | - | 1.14 Bn |
| 3 | Yum Brands | 45.58 Bn | 42.47 Bn | 1.47 Bn | 275.00 Mn |
| 4 | Chipotle Mexican Grill | 45.08 Bn | 41.58 Bn | - | 1.28 Bn |
| 5 | Restaurant Brands International | 27.34 Bn | 23.13 Bn | 1.40 Bn | 349.00 Mn |
| 6 | Darden Restaurants | 25.92 Bn | 25.01 Bn | 1.68 Bn | 113.60 Mn |
| 7 | Restaurant Brands International Limited Partnership | 24.67 Bn | 20.46 Bn | 1.40 Bn | 335.00 Mn |
| 8 | Yum China Holdings | 17.29 Bn | 10.94 Bn | 537.00 Mn | 348.00 Mn |
| 9 | Texas Roadhouse | 12.62 Bn | 11.96 Bn | - | 65.70 Mn |
| 10 | Luckin Coffee | 10.74 Bn | 5.83 Bn | 1.64 Bn | 320.64 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 320.64 Mn |
| Jun 30, 2026 | 320.64 Mn |
| Mar 31, 2026 | 320.64 Mn |
| Dec 31, 2025 | 320.64 Mn |
| Sep 30, 2025 | 318.25 Mn |
| Jun 30, 2025 | 318.25 Mn |
| Mar 31, 2025 | 318.25 Mn |
| Dec 31, 2024 | 318.25 Mn |
| Sep 30, 2024 | 316.51 Mn |
| Jun 30, 2024 | 316.51 Mn |
| Mar 31, 2024 | 316.51 Mn |
| Dec 31, 2023 | 316.51 Mn |
| Sep 30, 2023 | 309.13 Mn |
| Jun 30, 2023 | 309.13 Mn |
| Mar 31, 2023 | 309.13 Mn |
| Dec 31, 2022 | 309.13 Mn |
| Sep 30, 2022 | 253.17 Mn |
| Jun 30, 2022 | 253.17 Mn |
| Mar 31, 2022 | 253.17 Mn |
| Dec 31, 2021 | 253.17 Mn |
Luckin Coffee Shares Outstanding 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=shares-outstanding&ticker=LKNCY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding", "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=shares-outstanding&ticker=LKNCY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();