Full House Resorts (FLL) Market Capitalization (2010 - 2026)
Full House Resorts' Market Capitalization was $102.21 million in Q2 2026, down 22.7% from $132.17 million a year earlier but up 25.4% from the prior quarter.
Full House Resorts (FLL) Market Capitalization (2010 - 2026) Analysis & Trends
For FY2025, Market Capitalization at Full House Resorts came in at $94.3 million, down 35.2% from FY2024.
- Market Capitalization has now declined for four consecutive years, with a five-year compound annual growth rate of -2.4% (FY2020 to FY2025).
- In earlier years, Market Capitalization was $145.45 million in FY2024 (-21.7%), $185.75 million in FY2023 (-28.2%), $258.75 million in FY2022 (-37.6%) and $414.68 million in FY2021 (+289.0%).
- Quarterly Market Capitalization has moved between $81.52 million (Q1 2026) and $414.68 million (Q4 2021) over five years.
- Compared with a year earlier, Market Capitalization has declined for seven straight quarters, with an average decline of 23.2% over the last eight quarters.
- The best year-over-year quarter for Market Capitalization over five years was Q3 2021 (growth of 590.6%); the worst was Q3 2022 (a decline of 46.8%).
- Per Business Quant data, FLL's Market Capitalization in the three quarters before Q2 2026 was $81.52 million (Q1 2026), $94.3 million (Q4 2025) and $115.92 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Las Vegas Sands | 24.82 Bn | 11.24 Bn | 1.48 Bn |
| 2 | DraftKings | 17.42 Bn | 13.08 Bn | 551.45 Mn |
| 3 | Flutter Entertainment | 12.92 Bn | 6.67 Bn | 1.71 Bn |
| 4 | Madison Square Garden Sports | 9.97 Bn | 9.56 Bn | 119.21 Mn |
| 5 | Life Time Group Holdings | 8.95 Bn | 8.18 Bn | 412.26 Mn |
| 6 | Wynn Resorts | 8.09 Bn | 1.64 Bn | 758.95 Mn |
| 7 | MGM Resorts International | 7.93 Bn | -255.39 Mn | 1.98 Bn |
| 8 | Caesars Entertainment | 6.03 Bn | 2.66 Bn | 1.50 Bn |
| 9 | Super Group (SGHC) | 5.86 Bn | 3.85 Bn | - |
| 10 | Full House Resorts | 55.32 Mn | -81.06 Mn | 40.37 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 102.21 Mn |
| Mar 31, 2026 | 81.52 Mn |
| Dec 31, 2025 | 94.30 Mn |
| Sep 30, 2025 | 115.92 Mn |
| Jun 30, 2025 | 132.17 Mn |
| Mar 31, 2025 | 150.38 Mn |
| Dec 31, 2024 | 145.45 Mn |
| Sep 30, 2024 | 177.94 Mn |
| Jun 30, 2024 | 174.00 Mn |
| Mar 31, 2024 | 192.67 Mn |
| Dec 31, 2023 | 185.75 Mn |
| Sep 30, 2023 | 147.69 Mn |
| Jun 30, 2023 | 231.67 Mn |
| Mar 31, 2023 | 248.80 Mn |
| Dec 31, 2022 | 258.75 Mn |
| Sep 30, 2022 | 193.32 Mn |
| Jun 30, 2022 | 209.06 Mn |
| Mar 31, 2022 | 330.06 Mn |
| Dec 31, 2021 | 414.68 Mn |
| Sep 30, 2021 | 363.15 Mn |
Full House Resorts Market Capitalization 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=market-capitalization&ticker=FLL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "market-capitalization", "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=market-capitalization&ticker=FLL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();