Full House Resorts (FLL) Total Liabilities (2009 - 2026)
Full House Resorts' Total Liabilities was $629.63 million in Q3 2026, down 0.1% from $630.19 million a year earlier and down 2.1% from the prior quarter.
Full House Resorts (FLL) Total Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, Total Liabilities at Full House Resorts came in at $647.27 million, up 2.3% from FY2024.
- Total Liabilities has now increased for eight consecutive years, with a five-year compound annual growth rate of 32.9% (FY2020 to FY2025).
- In earlier years, Total Liabilities was $632.84 million in FY2024 (+3.6%), $610.61 million in FY2023 (+23.2%), $495.54 million in FY2022 (+37.2%) and $361.13 million in FY2021 (+131.6%).
- The Q3 2026 figure marks the lowest quarterly Total Liabilities since Q1 2025.
- Compared with a year earlier, Total Liabilities was higher in seven of the last eight quarters, with growth averaging 2.3%.
- The best year-over-year quarter for Total Liabilities over five years was Q4 2021 (growth of 131.6%); the worst was Q3 2026 (a decline of 0.1%).
- Per Business Quant data, FLL's Total Liabilities in the three quarters before Q3 2026 was $643.44 million (Q2 2026), $635.86 million (Q1 2026) and $647.27 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Wynn Resorts | 43.71 Bn | 37.08 Bn | 655.12 Mn | 14.10 Bn |
| 2 | Vail Resorts | 27.65 Bn | 26.37 Bn | - | 4.97 Bn |
| 3 | Las Vegas Sands | 25.32 Bn | 12.14 Bn | 1.47 Bn | 19.76 Bn |
| 4 | DraftKings | 16.83 Bn | 12.62 Bn | 429.05 Mn | 4.43 Bn |
| 5 | Flutter Entertainment | 14.10 Bn | 7.73 Bn | 1.52 Bn | 19.28 Bn |
| 6 | Life Time Group Holdings | 10.44 Bn | 9.61 Bn | 419.01 Mn | 5.14 Bn |
| 7 | MGM Resorts International | 8.43 Bn | -8.70 Mn | 1.73 Bn | 36.11 Bn |
| 8 | MSG Knickerbockers | 7.58 Bn | 7.19 Bn | 36.67 Mn | 1.83 Bn |
| 9 | Light & Wonder | 7.12 Bn | 6.42 Bn | 623.00 Mn | 5.90 Bn |
| 10 | Full House Resorts | 19.79 Mn | -116.36 Mn | 42.29 Mn | 629.63 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 629.63 Mn |
| Jun 30, 2026 | 643.44 Mn |
| Mar 31, 2026 | 635.86 Mn |
| Dec 31, 2025 | 647.27 Mn |
| Sep 30, 2025 | 630.19 Mn |
| Jun 30, 2025 | 630.33 Mn |
| Mar 31, 2025 | 626.20 Mn |
| Dec 31, 2024 | 632.84 Mn |
| Sep 30, 2024 | 616.90 Mn |
| Jun 30, 2024 | 614.46 Mn |
| Mar 31, 2024 | 603.15 Mn |
| Dec 31, 2023 | 610.61 Mn |
| Sep 30, 2023 | 575.53 Mn |
| Jun 30, 2023 | 586.80 Mn |
| Mar 31, 2023 | 585.36 Mn |
| Dec 31, 2022 | 495.54 Mn |
| Sep 30, 2022 | 468.33 Mn |
| Jun 30, 2022 | 470.32 Mn |
| Mar 31, 2022 | 451.22 Mn |
| Dec 31, 2021 | 361.13 Mn |
Full House Resorts Total Liabilities 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=total-liabilities&ticker=FLL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=FLL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();