Full House Resorts (FLL) Accumulated Expenses (2009 - 2026)
Full House Resorts (FLL) recorded Accumulated Expenses of $32.7 million in Q3 2026, down 4.8% from $34.34 million a year earlier and down 47.9% from the prior quarter.
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Analysis
Full House Resorts (FLL) Accumulated Expenses (2009 - 2026) Analysis & Trends
At the end of FY2025, Full House Resorts reported Accumulated Expenses of $50.26 million, up 30.4% from FY2024.
- Annual Accumulated Expenses has increased for seven straight years, with a five-year compound annual growth rate of 36.0% (FY2020 to FY2025).
- Across earlier years, Accumulated Expenses came in at $38.53 million in FY2024 (+13.2%), $34.03 million in FY2023 (+48.4%), $22.93 million in FY2022 (+14.1%) and $20.1 million in FY2021 (+86.0%).
- The Q3 2026 figure is the lowest quarterly Accumulated Expenses since Q3 2024.
- On a year-over-year basis, Accumulated Expenses rose in seven of the last eight quarters, with growth averaging 30.4%.
- Peak year-over-year performance for Accumulated Expenses in the last five years was growth of 301.0% in Q3 2022, against a decline of 4.8% in Q3 2026 at the low end.
- Per Business Quant, the preceding three quarters came in at $62.79 million (Q2 2026), $50.25 million (Q1 2026) and $50.26 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Wynn Resorts | 43.71 Bn | 37.08 Bn | 655.12 Mn |
| 2 | Vail Resorts | 27.65 Bn | 26.37 Bn | - |
| 3 | Las Vegas Sands | 25.32 Bn | 12.14 Bn | 1.47 Bn |
| 4 | DraftKings | 16.83 Bn | 12.62 Bn | 429.05 Mn |
| 5 | Flutter Entertainment | 14.10 Bn | 7.73 Bn | 1.52 Bn |
| 6 | Life Time Group Holdings | 10.44 Bn | 9.61 Bn | 419.01 Mn |
| 7 | MGM Resorts International | 8.43 Bn | -8.70 Mn | 1.73 Bn |
| 8 | MSG Knickerbockers | 7.58 Bn | 7.19 Bn | 36.67 Mn |
| 9 | Light & Wonder | 7.12 Bn | 6.42 Bn | 623.00 Mn |
| 10 | Full House Resorts | 19.79 Mn | -116.36 Mn | 42.29 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 32.70 Mn |
| Jun 30, 2026 | 62.79 Mn |
| Mar 31, 2026 | 50.25 Mn |
| Dec 31, 2025 | 50.26 Mn |
| Sep 30, 2025 | 34.34 Mn |
| Jun 30, 2025 | 43.98 Mn |
| Mar 31, 2025 | 36.60 Mn |
| Dec 31, 2024 | 38.53 Mn |
| Sep 30, 2024 | 24.51 Mn |
| Jun 30, 2024 | 32.69 Mn |
| Mar 31, 2024 | 24.49 Mn |
| Dec 31, 2023 | 34.03 Mn |
| Sep 30, 2023 | 18.36 Mn |
| Jun 30, 2023 | 25.63 Mn |
| Mar 31, 2023 | 15.77 Mn |
| Dec 31, 2022 | 22.93 Mn |
| Sep 30, 2022 | 13.58 Mn |
| Jun 30, 2022 | 21.80 Mn |
| Mar 31, 2022 | 14.67 Mn |
| Dec 31, 2021 | 20.10 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();