Full House Resorts (FLL) EBITDA (2009 - 2026)
Full House Resorts (FLL) recorded EBITDA of $41.82 million in Q3 2026, down 4.3% from $43.68 million a year earlier but up 43.2% from the prior quarter.
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Analysis
Full House Resorts (FLL) EBITDA (2009 - 2026) Analysis & Trends
On a TTM basis, Full House Resorts' EBITDA came in at $83.39 million as of Sep 30, 2026, down 37.8% year-over-year; for FY2025, it came in at $53.94 million.
- Annual EBITDA has a five-year compound annual growth rate of 22.7% (FY2020 to FY2025).
- Across earlier years, EBITDA came in at -$2.43 million in FY2024, $32.72 million in FY2023 (+47.0%), $22.26 million in FY2022 (-59.5%) and $54.95 million in FY2021 (+183.0%).
- Quarterly EBITDA has ranged from -$2.47 million in Q4 2025 to $45.74 million in Q4 2024 over the past five years.
- On a year-over-year basis, EBITDA rose in 1 of the last six quarters, with an average decline of 1.3%.
- Peak year-over-year performance for EBITDA in the last five years was growth of 59.1% in Q1 2023, against a decline of 30.6% in Q1 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at $29.21 million (Q2 2026), $14.83 million (Q1 2026) and -$2.47 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Wynn Resorts | 43.71 Bn | 37.08 Bn | 655.12 Mn | 356.11 Mn |
| 2 | Vail Resorts | 27.65 Bn | 26.37 Bn | - | -127.89 Mn |
| 3 | Las Vegas Sands | 25.32 Bn | 12.14 Bn | 1.47 Bn | 994.00 Mn |
| 4 | DraftKings | 16.83 Bn | 12.62 Bn | 429.05 Mn | -414.25 Mn |
| 5 | Flutter Entertainment | 14.10 Bn | 7.73 Bn | 1.52 Bn | -721.00 Mn |
| 6 | Life Time Group Holdings | 10.44 Bn | 9.61 Bn | 419.01 Mn | 243.96 Mn |
| 7 | MGM Resorts International | 8.43 Bn | -8.70 Mn | 1.73 Bn | 401.29 Mn |
| 8 | MSG Knickerbockers | 7.58 Bn | 7.19 Bn | 36.67 Mn | -24.68 Mn |
| 9 | Light & Wonder | 7.12 Bn | 6.42 Bn | 623.00 Mn | 347.00 Mn |
| 10 | Full House Resorts | 19.79 Mn | -116.36 Mn | 42.29 Mn | 41.82 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 41.82 Mn |
| Jun 30, 2026 | 29.21 Mn |
| Mar 31, 2026 | 14.83 Mn |
| Dec 31, 2025 | -2.47 Mn |
| Sep 30, 2025 | 43.68 Mn |
| Jun 30, 2025 | 30.20 Mn |
| Mar 31, 2025 | 14.48 Mn |
| Dec 31, 2024 | 45.74 Mn |
| Sep 30, 2024 | 44.74 Mn |
| Jun 30, 2024 | 30.20 Mn |
| Mar 31, 2024 | 14.48 Mn |
| Dec 31, 2023 | 2.41 Mn |
| Sep 30, 2023 | 44.74 Mn |
| Jun 30, 2023 | 23.39 Mn |
| Mar 31, 2023 | 11.90 Mn |
| Dec 31, 2022 | -894,000.00 |
| Sep 30, 2022 | 44.10 Mn |
| Jun 30, 2022 | 29.07 Mn |
| Mar 31, 2022 | 7.48 Mn |
| Dec 31, 2021 | 7.66 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();