Luckin Coffee (LKNCY) Shares Outstanding (Diluted) (2019 - 2026)
Luckin Coffee (LKNCY) reported Weighted Average Shares Outstanding (Diluted) of 321.02 million for Q3 2026, up 0.8% from 318.5 million a year earlier and unchanged from the prior quarter.
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Analysis
Luckin Coffee (LKNCY) Shares Outstanding (Diluted) (2019 - 2026) Analysis & Trends
Dating back to Q4 2019, Luckin Coffee's Weighted Average Shares Outstanding (Diluted) record includes 26 quarters.
- Weighted Average Shares Outstanding (Diluted) has increased for six consecutive years, with a five-year compound annual growth rate of 4.9% (FY2020 to FY2025).
- By year, Weighted Average Shares Outstanding (Diluted) came in at 318.5 million in FY2024 (+0.6%), 316.57 million in FY2023 (+0.6%), 314.53 million in FY2022 (+17.8%) and 266.98 million in FY2021 (+5.6%).
- Year over year, Weighted Average Shares Outstanding (Diluted) has now increased in each of the last 21 quarters, with growth averaging 0.7% over the last eight quarters.
- The year-over-year growth in Weighted Average Shares Outstanding (Diluted) has ranged between 0.6% (Q4 2024) and 17.8% (Q3 2023) over the last five years.
- Per Business Quant data, the three quarters before Q3 2026 came in at 321.02 million (Q2 2026), 321.02 million (Q1 2026) and 321.02 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 195.98 Bn | 190.80 Bn | 6.42 Bn | 711.10 Mn |
| 2 | Starbucks | 120.13 Bn | 107.76 Bn | - | 1.14 Bn |
| 3 | Yum Brands | 44.36 Bn | 41.25 Bn | 1.47 Bn | 277.00 Mn |
| 4 | Chipotle Mexican Grill | 43.92 Bn | 40.41 Bn | - | 1.28 Bn |
| 5 | Restaurant Brands International | 27.10 Bn | 22.88 Bn | 1.40 Bn | 457.00 Mn |
| 6 | Darden Restaurants | 25.62 Bn | 24.72 Bn | 1.68 Bn | 114.40 Mn |
| 7 | Restaurant Brands International Limited Partnership | 24.67 Bn | 20.46 Bn | 1.40 Bn | 335.00 Mn |
| 8 | Yum China Holdings | 17.38 Bn | 11.04 Bn | 537.00 Mn | 349.00 Mn |
| 9 | Texas Roadhouse | 12.08 Bn | 11.42 Bn | - | 65.92 Mn |
| 10 | Luckin Coffee | 10.86 Bn | 5.95 Bn | 1.64 Bn | 321.02 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 321.02 Mn |
| Jun 30, 2026 | 321.02 Mn |
| Mar 31, 2026 | 321.02 Mn |
| Dec 31, 2025 | 321.02 Mn |
| Sep 30, 2025 | 318.50 Mn |
| Jun 30, 2025 | 318.50 Mn |
| Mar 31, 2025 | 318.50 Mn |
| Dec 31, 2024 | 318.50 Mn |
| Sep 30, 2024 | 316.57 Mn |
| Jun 30, 2024 | 316.57 Mn |
| Mar 31, 2024 | 316.57 Mn |
| Dec 31, 2023 | 316.57 Mn |
| Sep 30, 2023 | 314.53 Mn |
| Jun 30, 2023 | 314.53 Mn |
| Mar 31, 2023 | 314.53 Mn |
| Dec 31, 2022 | 314.53 Mn |
| Sep 30, 2022 | 266.98 Mn |
| Jun 30, 2022 | 266.98 Mn |
| Mar 31, 2022 | 266.98 Mn |
| Dec 31, 2021 | 266.98 Mn |
API Access
Luckin Coffee Shares Outstanding (Diluted) 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-diluted&ticker=LKNCY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "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-diluted&ticker=LKNCY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();