Full House Resorts (FLL) Shares Outstanding (2009 - 2026)
Full House Resorts (FLL) posted Weighted Average Shares Outstanding of 36.64 million for Q3 2026, up 1.5% from 36.11 million a year earlier and up 0.5% from the prior quarter.
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Analysis
Full House Resorts (FLL) Shares Outstanding (2009 - 2026) Analysis & Trends
For FY2025, Full House Resorts' Weighted Average Shares Outstanding came in at 36.03 million, up 3.1% from FY2024.
- Annual Weighted Average Shares Outstanding has increased for 15 consecutive years, with a five-year compound annual growth rate of 5.9% (FY2020 to FY2025).
- In prior years, Full House Resorts' Weighted Average Shares Outstanding was 34.97 million in FY2024 (+1.3%), 34.52 million in FY2023 (+0.5%), 34.36 million in FY2022 (+5.7%) and 32.52 million in FY2021 (+20.0%).
- The Q3 2026 figure stands as the highest quarterly Weighted Average Shares Outstanding in data going back to Q1 2009.
- On a year-over-year basis, Weighted Average Shares Outstanding has increased in each of the last 46 quarters, with growth averaging 2.3% over the last eight quarters.
- The year-over-year growth in Weighted Average Shares Outstanding has ranged between 0.4% (Q2 2023) and 25.2% (Q1 2022) over the last five years.
- According to Business Quant data, Weighted Average Shares Outstanding for the three prior quarters was 36.45 million (Q2 2026), 36.15 million (Q1 2026) and 36.03 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Qtr) |
|---|---|---|---|---|---|
| 1 | Wynn Resorts | 43.71 Bn | 37.08 Bn | 655.12 Mn | 306.02 Mn |
| 2 | Vail Resorts | 27.65 Bn | 26.37 Bn | - | 142.93 Mn |
| 3 | Las Vegas Sands | 25.32 Bn | 12.14 Bn | 1.47 Bn | 639.00 Mn |
| 4 | DraftKings | 16.83 Bn | 12.62 Bn | 429.05 Mn | 496.93 Mn |
| 5 | Flutter Entertainment | 14.10 Bn | 7.73 Bn | 1.52 Bn | 176.00 Mn |
| 6 | Life Time Group Holdings | 10.44 Bn | 9.61 Bn | 419.01 Mn | 224.06 Mn |
| 7 | MGM Resorts International | 8.43 Bn | -8.70 Mn | 1.73 Bn | 251.96 Mn |
| 8 | MSG Knickerbockers | 7.58 Bn | 7.19 Bn | 36.67 Mn | 24.18 Mn |
| 9 | Light & Wonder | 7.12 Bn | 6.42 Bn | 623.00 Mn | 76.40 Mn |
| 10 | Full House Resorts | 19.79 Mn | -116.36 Mn | 42.29 Mn | 36.64 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 36.64 Mn |
| Jun 30, 2026 | 36.45 Mn |
| Mar 31, 2026 | 36.15 Mn |
| Dec 31, 2025 | 36.03 Mn |
| Sep 30, 2025 | 36.11 Mn |
| Jun 30, 2025 | 36.06 Mn |
| Mar 31, 2025 | 35.83 Mn |
| Dec 31, 2024 | 34.97 Mn |
| Sep 30, 2024 | 34.94 Mn |
| Jun 30, 2024 | 34.71 Mn |
| Mar 31, 2024 | 34.59 Mn |
| Dec 31, 2023 | 34.52 Mn |
| Sep 30, 2023 | 34.58 Mn |
| Jun 30, 2023 | 34.50 Mn |
| Mar 31, 2023 | 34.41 Mn |
| Dec 31, 2022 | 34.36 Mn |
| Sep 30, 2022 | 34.39 Mn |
| Jun 30, 2022 | 34.36 Mn |
| Mar 31, 2022 | 34.26 Mn |
| Dec 31, 2021 | 32.52 Mn |
API Access
Full House Resorts 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=FLL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding", "ticker": "FLL", "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=FLL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();