Full House Resorts (FLL) Enterprise Value (2010 - 2026)
Full House Resorts (FLL) reported Enterprise Value of $68.8 million for Q2 2026, down 31.2% from $100.04 million a year earlier but up 37.2% from the prior quarter.
Full House Resorts (FLL) Enterprise Value (2010 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Full House Resorts' Enterprise Value came in at -$34.16 million; for FY2025, it was $53.63 million, down 49.0% from FY2024.
- Enterprise Value has declined for four consecutive years, with a five-year compound annual growth rate of -4.9% (FY2020 to FY2025).
- By year, Enterprise Value came in at $105.23 million in FY2024 (-29.7%), $149.59 million in FY2023 (-26.0%), $202.16 million in FY2022 (-38.0%) and $325.96 million in FY2021 (+373.1%).
- Five-year quarterly Enterprise Value spans a low of $50.15 million in Q1 2026 and a high of $325.96 million in Q4 2021.
- Year over year, Enterprise Value has now declined in each of the last seven quarters, with an average decline of 30.7% over the last eight quarters.
- The high point for year-over-year Enterprise Value in five years was Q4 2021 (growth of 373.1%); the low point was Q3 2022 (a decline of 59.4%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $50.15 million (Q1 2026), $53.63 million (Q4 2025) and $84.99 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 | 68.80 Mn |
| Mar 31, 2026 | 50.15 Mn |
| Dec 31, 2025 | 53.63 Mn |
| Sep 30, 2025 | 84.99 Mn |
| Jun 30, 2025 | 100.04 Mn |
| Mar 31, 2025 | 119.67 Mn |
| Dec 31, 2024 | 105.23 Mn |
| Sep 30, 2024 | 152.01 Mn |
| Jun 30, 2024 | 142.94 Mn |
| Mar 31, 2024 | 166.99 Mn |
| Dec 31, 2023 | 149.59 Mn |
| Sep 30, 2023 | 121.74 Mn |
| Jun 30, 2023 | 196.17 Mn |
| Mar 31, 2023 | 207.98 Mn |
| Dec 31, 2022 | 202.16 Mn |
| Sep 30, 2022 | 107.61 Mn |
| Jun 30, 2022 | 100.82 Mn |
| Mar 31, 2022 | 221.02 Mn |
| Dec 31, 2021 | 325.96 Mn |
| Sep 30, 2021 | 265.23 Mn |
Full House Resorts Enterprise Value 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=enterprise-value&ticker=FLL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "enterprise-value", "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=enterprise-value&ticker=FLL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();