Full House Resorts (FLL) Other Accumulated Expenses (2009 - 2026)
Full House Resorts (FLL) recorded Other Accumulated Expenses of $801,000 in Q3 2026, down 73.1% from $2.98 million a year earlier but up 105.9% from the prior quarter.
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Analysis
Full House Resorts (FLL) Other Accumulated Expenses (2009 - 2026) Analysis & Trends
At the end of FY2025, Full House Resorts reported Other Accumulated Expenses of $2.57 million, down 68.7% from FY2024.
- Annual Other Accumulated Expenses has declined for three straight years, with a five-year compound annual growth rate of -2.2% (FY2020 to FY2025).
- Across earlier years, Other Accumulated Expenses came in at $8.21 million in FY2024 (-60.3%), $20.67 million in FY2023 (-31.7%), $30.28 million in FY2022 (+567.4%) and $4.54 million in FY2021 (+58.0%).
- Quarterly Other Accumulated Expenses has ranged from $389,000 in Q2 2026 to $31.3 million in Q1 2023 over the past five years.
- On a year-over-year basis, Other Accumulated Expenses has declined for 12 consecutive quarters, with an average decline of 65.1% over the last eight quarters.
- Peak year-over-year performance for Other Accumulated Expenses in the last five years was growth of 567.4% in Q4 2022, against a decline of 93.2% in Q2 2026 at the low end.
- Per Business Quant, the preceding three quarters came in at $389,000 (Q2 2026), $760,000 (Q1 2026) and $2.57 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 | 801,000.00 |
| Jun 30, 2026 | 389,000.00 |
| Mar 31, 2026 | 760,000.00 |
| Dec 31, 2025 | 2.57 Mn |
| Sep 30, 2025 | 2.98 Mn |
| Jun 30, 2025 | 5.69 Mn |
| Mar 31, 2025 | 7.73 Mn |
| Dec 31, 2024 | 8.21 Mn |
| Sep 30, 2024 | 6.36 Mn |
| Jun 30, 2024 | 11.53 Mn |
| Mar 31, 2024 | 11.33 Mn |
| Dec 31, 2023 | 20.67 Mn |
| Sep 30, 2023 | 23.01 Mn |
| Jun 30, 2023 | 25.89 Mn |
| Mar 31, 2023 | 31.30 Mn |
| Dec 31, 2022 | 30.28 Mn |
| Sep 30, 2022 | 16.43 Mn |
| Jun 30, 2022 | 12.09 Mn |
| Mar 31, 2022 | 7.00 Mn |
| Dec 31, 2021 | 4.54 Mn |
API Access
Full House Resorts Other 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=other-accumulated-expenses&ticker=FLL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-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=other-accumulated-expenses&ticker=FLL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();