Full House Resorts (FLL) Revenue (2010 - 2026)
Full House Resorts (FLL) recorded Revenue of $78.06 million in Q2 2026, up 5.6% from $73.95 million a year earlier and up 4.9% from the prior quarter.
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Analysis
Full House Resorts (FLL) Revenue (2010 - 2026) Analysis & Trends
On a TTM basis, Full House Resorts' Revenue came in at $305.86 million as of Jun 30, 2026, up 2.8% year-over-year; for FY2025, it came in at $302.38 million, up 3.5% from FY2024.
- Annual Revenue has increased for three straight years, with a five-year compound annual growth rate of 19.2% (FY2020 to FY2025).
- Across earlier years, Revenue came in at $292.07 million in FY2024 (+21.2%), $241.06 million in FY2023 (+47.6%), $163.28 million in FY2022 (-9.4%) and $180.16 million in FY2021 (+43.5%).
- The Q2 2026 figure is the highest quarterly Revenue in data going back to Q2 2010.
- On a year-over-year basis, Revenue rose in six of the last seven quarters, with growth averaging 5.8%.
- Peak year-over-year performance for Revenue in the last five years was growth of 66.4% in Q4 2023, against a decline of 96.4% in Q3 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $74.42 million (Q1 2026), $75.42 million (Q4 2025) and $77.95 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Revenue (Qtr) |
|---|---|---|---|---|---|
| 1 | Las Vegas Sands | 24.82 Bn | 11.24 Bn | 1.48 Bn | 3.15 Bn |
| 2 | DraftKings | 17.42 Bn | 13.08 Bn | 551.45 Mn | 1.44 Bn |
| 3 | Flutter Entertainment | 12.92 Bn | 6.67 Bn | 1.71 Bn | 4.33 Bn |
| 4 | Madison Square Garden Sports | 9.97 Bn | 9.56 Bn | 119.21 Mn | 278.75 Mn |
| 5 | Life Time Group Holdings | 8.95 Bn | 8.18 Bn | 412.26 Mn | 866.00 Mn |
| 6 | Wynn Resorts | 8.09 Bn | 1.64 Bn | 758.95 Mn | 1.86 Bn |
| 7 | MGM Resorts International | 7.93 Bn | -255.39 Mn | 1.98 Bn | 4.45 Bn |
| 8 | Caesars Entertainment | 6.03 Bn | 2.66 Bn | 1.50 Bn | 2.99 Bn |
| 9 | Super Group (SGHC) | 5.86 Bn | 3.85 Bn | - | 684.00 Mn |
| 10 | Full House Resorts | 55.32 Mn | -81.06 Mn | 40.37 Mn | 78.06 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 78.06 Mn |
| Mar 31, 2026 | 74.42 Mn |
| Dec 31, 2025 | 75.42 Mn |
| Sep 30, 2025 | 77.95 Mn |
| Jun 30, 2025 | 73.95 Mn |
| Mar 31, 2025 | 75.06 Mn |
| Dec 31, 2024 | 72.96 Mn |
| Sep 30, 2024 | 75.69 Mn |
| Jun 30, 2024 | 73.49 Mn |
| Mar 31, 2024 | 69.92 Mn |
| Dec 31, 2023 | 60.03 Mn |
| Sep 30, 2023 | 1.50 Mn |
| Jun 30, 2023 | 59.38 Mn |
| Mar 31, 2023 | 50.11 Mn |
| Dec 31, 2022 | 36.08 Mn |
| Sep 30, 2022 | 41.39 Mn |
| Jun 30, 2022 | 44.38 Mn |
| Mar 31, 2022 | 41.42 Mn |
| Dec 31, 2021 | 43.27 Mn |
| Sep 30, 2021 | 47.24 Mn |
API Access
Full House Resorts Revenue 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=revenue&ticker=FLL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "revenue", "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=revenue&ticker=FLL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();