Full House Resorts (FLL) Accumulated Expenses (2013 - 2026)
Full House Resorts (FLL) recorded Accumulated Expenses of $48.24 million in Q2 2026, up 60.5% from $30.05 million a year earlier and up 7.0% from the prior quarter.
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Analysis
Full House Resorts (FLL) Accumulated Expenses (2013 - 2026) Analysis & Trends
At the end of FY2025, Full House Resorts reported Accumulated Expenses of $35.99 million, up 48.4% from FY2024.
- Annual Accumulated Expenses has increased for three straight years, with a five-year compound annual growth rate of 27.3% (FY2020 to FY2025).
- Across earlier years, Accumulated Expenses came in at $24.26 million in FY2024 (+22.7%), $19.78 million in FY2023 (+98.5%), $9.96 million in FY2022 (-2.7%) and $10.24 million in FY2021 (-4.9%).
- The Q2 2026 figure is the highest quarterly Accumulated Expenses in data going back to Q4 2013.
- On a year-over-year basis, Accumulated Expenses has increased for 14 consecutive quarters, with growth averaging 48.7% over the last eight quarters.
- Peak year-over-year performance for Accumulated Expenses in the last five years was growth of 98.5% in Q4 2023, against a decline of 4.9% in Q4 2021 at the low end.
- Per Business Quant, the preceding three quarters came in at $45.08 million (Q1 2026), $35.99 million (Q4 2025) and $29.55 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Las Vegas Sands | 24.50 Bn | 10.92 Bn | 1.48 Bn |
| 2 | DraftKings | 16.89 Bn | 12.55 Bn | 551.45 Mn |
| 3 | Flutter Entertainment | 12.94 Bn | 6.68 Bn | 1.71 Bn |
| 4 | Madison Square Garden Sports | 9.77 Bn | 9.37 Bn | 119.21 Mn |
| 5 | Life Time Group Holdings | 8.91 Bn | 8.14 Bn | 412.26 Mn |
| 6 | Wynn Resorts | 8.21 Bn | 1.77 Bn | 758.95 Mn |
| 7 | MGM Resorts International | 7.81 Bn | -371.12 Mn | 1.98 Bn |
| 8 | Caesars Entertainment | 6.04 Bn | 2.66 Bn | 1.50 Bn |
| 9 | Super Group (SGHC) | 5.74 Bn | 3.73 Bn | - |
| 10 | Full House Resorts | 52.02 Mn | -84.35 Mn | 40.37 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 48.24 Mn |
| Mar 31, 2026 | 45.08 Mn |
| Dec 31, 2025 | 35.99 Mn |
| Sep 30, 2025 | 29.55 Mn |
| Jun 30, 2025 | 30.05 Mn |
| Mar 31, 2025 | 31.53 Mn |
| Dec 31, 2024 | 24.26 Mn |
| Sep 30, 2024 | 19.76 Mn |
| Jun 30, 2024 | 18.63 Mn |
| Mar 31, 2024 | 19.84 Mn |
| Dec 31, 2023 | 19.78 Mn |
| Sep 30, 2023 | 13.60 Mn |
| Jun 30, 2023 | 11.76 Mn |
| Mar 31, 2023 | 11.29 Mn |
| Dec 31, 2022 | 9.96 Mn |
| Sep 30, 2022 | 9.26 Mn |
| Jun 30, 2022 | 9.12 Mn |
| Mar 31, 2022 | 10.54 Mn |
| Dec 31, 2021 | 10.24 Mn |
| Dec 31, 2020 | 10.77 Mn |
API Access
Full House Resorts Accumulated Expenses 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=accumulated-expenses&ticker=FLL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "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=accumulated-expenses&ticker=FLL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();