Full House Resorts (FLL) Cash & Equivalents (2010 - 2026)
Full House Resorts (FLL) recorded Cash & Equivalents of $33.41 million in Q2 2026, up 4.0% from $32.13 million a year earlier and up 6.5% from the prior quarter.
Full House Resorts (FLL) Cash & Equivalents (2010 - 2026) Analysis & Trends
At the end of FY2025, Full House Resorts reported Cash & Equivalents of $40.67 million, up 1.1% from FY2024.
- Annual Cash & Equivalents has a five-year compound annual growth rate of 1.5% (FY2020 to FY2025).
- Across earlier years, Cash & Equivalents came in at $40.22 million in FY2024 (+11.2%), $36.16 million in FY2023 (-36.1%), $56.59 million in FY2022 (-36.2%) and $88.72 million in FY2021 (+135.3%).
- Quarterly Cash & Equivalents has ranged from $25.68 million in Q1 2024 to $109.04 million in Q1 2022 over the past five years.
- On a year-over-year basis, Cash & Equivalents has increased for seven consecutive quarters, with growth averaging 7.6% over the last eight quarters.
- Peak year-over-year performance for Cash & Equivalents in the last five years was growth of 187.7% in Q3 2021, against a decline of 69.7% in Q3 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $31.37 million (Q1 2026), $40.67 million (Q4 2025) and $30.93 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Las Vegas Sands | 24.50 Bn | 10.92 Bn | 1.48 Bn | 3.38 Bn |
| 2 | DraftKings | 16.89 Bn | 12.55 Bn | 551.45 Mn | 983.88 Mn |
| 3 | Flutter Entertainment | 12.94 Bn | 6.68 Bn | 1.71 Bn | 1.56 Bn |
| 4 | Madison Square Garden Sports | 9.77 Bn | 9.37 Bn | 119.21 Mn | 164.51 Mn |
| 5 | Life Time Group Holdings | 8.91 Bn | 8.14 Bn | 412.26 Mn | 223.65 Mn |
| 6 | Wynn Resorts | 8.21 Bn | 1.77 Bn | 758.95 Mn | 1.57 Bn |
| 7 | MGM Resorts International | 7.81 Bn | -371.12 Mn | 1.98 Bn | 2.55 Bn |
| 8 | Caesars Entertainment | 6.04 Bn | 2.66 Bn | 1.50 Bn | 965.00 Mn |
| 9 | Super Group (SGHC) | 5.74 Bn | 3.73 Bn | - | 548.00 Mn |
| 10 | Full House Resorts | 52.02 Mn | -84.35 Mn | 40.37 Mn | 33.41 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 33.41 Mn |
| Mar 31, 2026 | 31.37 Mn |
| Dec 31, 2025 | 40.67 Mn |
| Sep 30, 2025 | 30.93 Mn |
| Jun 30, 2025 | 32.13 Mn |
| Mar 31, 2025 | 30.71 Mn |
| Dec 31, 2024 | 40.22 Mn |
| Sep 30, 2024 | 25.94 Mn |
| Jun 30, 2024 | 31.06 Mn |
| Mar 31, 2024 | 25.68 Mn |
| Dec 31, 2023 | 36.16 Mn |
| Sep 30, 2023 | 25.95 Mn |
| Jun 30, 2023 | 35.50 Mn |
| Mar 31, 2023 | 40.81 Mn |
| Dec 31, 2022 | 56.59 Mn |
| Sep 30, 2022 | 85.71 Mn |
| Jun 30, 2022 | 108.23 Mn |
| Mar 31, 2022 | 109.04 Mn |
| Dec 31, 2021 | 88.72 Mn |
| Sep 30, 2021 | 97.93 Mn |
Full House Resorts Cash & Equivalents 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=cash-and-equivalents&ticker=FLL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=FLL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();