Full House Resorts (FLL) Income Taxes Paid (2009 - 2026)
Full House Resorts (FLL) posted Income Taxes Paid of $408,000 for Q1 2026.
Analysis
Full House Resorts (FLL) Income Taxes Paid (2009 - 2026) Analysis & Trends
For FY2024, Full House Resorts' Income Taxes Paid came in at $895,000, down 97.0% from FY2023.
- In prior years, Full House Resorts' Income Taxes Paid was $30.18 million in FY2023 and $1.12 million in FY2022.
- The Q1 2026 figure stands as the highest quarterly Income Taxes Paid since Q2 2023.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Taxes Paid (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 | 153.00 Mn |
| 4 | DraftKings | 16.83 Bn | 12.62 Bn | 429.05 Mn | 2.10 Mn |
| 5 | Flutter Entertainment | 14.10 Bn | 7.73 Bn | 1.52 Bn | 134.00 Mn |
| 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 | 59.65 Mn |
| 8 | MSG Knickerbockers | 7.58 Bn | 7.19 Bn | 36.67 Mn | - |
| 9 | Light & Wonder | 7.12 Bn | 6.42 Bn | 623.00 Mn | 29.00 Mn |
| 10 | Full House Resorts | 19.79 Mn | -116.36 Mn | 42.29 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 408,000.00 |
| Dec 31, 2024 | 406,000.00 |
| Jun 30, 2023 | 940,000.00 |
| Mar 31, 2023 | 29.24 Mn |
| Dec 31, 2022 | 646,000.00 |
| Sep 30, 2022 | 211,000.00 |
| Dec 31, 2015 | -804,000.00 |
| Sep 30, 2015 | 6,000.00 |
| Mar 31, 2015 | -3.16 Mn |
| Dec 31, 2014 | -455,000.00 |
| Sep 30, 2014 | -3.83 Mn |
| Jun 30, 2014 | 3.10 Bn |
| Mar 31, 2014 | -3.10 Bn |
| Mar 31, 2013 | -1.47 Mn |
| Dec 31, 2012 | 3.96 Mn |
| Sep 30, 2012 | 5.76 Mn |
| Jun 30, 2012 | 11.81 Mn |
| Mar 31, 2012 | 343,000.00 |
| Dec 31, 2011 | 764,882.00 |
| Sep 30, 2011 | 1.19 Mn |
API Access
Full House Resorts Income Taxes Paid 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=income-taxes-paid&ticker=FLL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "income-taxes-paid", "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=income-taxes-paid&ticker=FLL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();