Full House Resorts (FLL) EBITDA (2010 - 2026)
Full House Resorts (FLL) recorded EBITDA of $12.7 million in Q2 2026, up 20.8% from $10.51 million a year earlier but down 1.6% from the prior quarter.
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Analysis
Full House Resorts (FLL) EBITDA (2010 - 2026) Analysis & Trends
On a TTM basis, Full House Resorts' EBITDA came in at $49.49 million as of Jun 30, 2026, up 12.3% year-over-year; for FY2025, it came in at $45.73 million, up 2.0% from FY2024.
- Annual EBITDA has increased for three straight years, with a five-year compound annual growth rate of 20.3% (FY2020 to FY2025).
- Across earlier years, EBITDA came in at $44.85 million in FY2024 (+49.9%), $29.93 million in FY2023 (+45.2%), $20.61 million in FY2022 (-54.0%) and $44.77 million in FY2021 (+146.8%).
- Quarterly EBITDA has ranged from -$1.32 million in Q4 2022 to $18.83 million in Q3 2023 over the past five years.
- On a year-over-year basis, EBITDA has increased for four consecutive quarters, with growth averaging 22.5% over the last eight quarters.
- Peak year-over-year performance for EBITDA in the last five years was growth of 293.7% in Q3 2023, against a decline of 63.0% in Q3 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at $12.91 million (Q1 2026), $9.8 million (Q4 2025) and $14.08 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Las Vegas Sands | 24.54 Bn | 10.64 Bn | 1.48 Bn | 1.01 Bn |
| 2 | Flutter Entertainment | 13.66 Bn | 7.03 Bn | 1.71 Bn | 255.00 Mn |
| 3 | DraftKings | 10.19 Bn | 5.85 Bn | 551.45 Mn | 12.17 Mn |
| 4 | Madison Square Garden Sports | 9.99 Bn | 9.58 Bn | 119.21 Mn | 32.94 Mn |
| 5 | Life Time Group Holdings | 9.09 Bn | 8.33 Bn | 412.26 Mn | 233.99 Mn |
| 6 | Wynn Resorts | 7.77 Bn | 2.06 Bn | 758.95 Mn | 473.82 Mn |
| 7 | MGM Resorts International | 7.33 Bn | -1.71 Bn | 1.98 Bn | 792.27 Mn |
| 8 | Light & Wonder | 7.12 Bn | 6.43 Bn | 618.00 Mn | 340.00 Mn |
| 9 | Caesars Entertainment | 5.90 Bn | 2.34 Bn | 1.50 Bn | 868.00 Mn |
| 10 | Full House Resorts | 34.26 Mn | -102.11 Mn | 40.37 Mn | 13.46 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 13.46 Mn |
| Mar 31, 2026 | 13.65 Mn |
| Dec 31, 2025 | 10.54 Mn |
| Sep 30, 2025 | 14.82 Mn |
| Jun 30, 2025 | 11.25 Mn |
| Mar 31, 2025 | 12.08 Mn |
| Dec 31, 2024 | 10.00 Mn |
| Sep 30, 2024 | 13.69 Mn |
| Jun 30, 2024 | 13.38 Mn |
| Mar 31, 2024 | 10.76 Mn |
| Dec 31, 2023 | 4.23 Mn |
| Sep 30, 2023 | 19.58 Mn |
| Jun 30, 2023 | 9.49 Mn |
| Mar 31, 2023 | -580,000.00 |
| Dec 31, 2022 | -894,000.00 |
| Sep 30, 2022 | 5.21 Mn |
| Jun 30, 2022 | 10.46 Mn |
| Mar 31, 2022 | 7.48 Mn |
| Dec 31, 2021 | 7.66 Mn |
| Sep 30, 2021 | 13.30 Mn |
API Access
Full House Resorts EBITDA 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=ebitda&ticker=FLL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=FLL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();