Full House Resorts (FLL) Return on Sales [ROS] (2010 - 2026)
Full House Resorts (FLL) posted Return on Sales [ROS] of 2.91% for Q2 2026, up 3.01 percentage points from -0.10% a year earlier but down 0.25 percentage points from the prior quarter.
Full House Resorts (FLL) Return on Sales [ROS] (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Return on Sales [ROS] at Full House Resorts was 2.31%, up 1.74 percentage points year-over-year; for FY2025, it was 1.03%, up 0.09 percentage points from FY2024.
- Annual Return on Sales [ROS] shows a five-year change of -7.31 percentage points (FY2020 to FY2025).
- In prior years, Full House Resorts' Return on Sales [ROS] was 0.94% in FY2024 (+1.42 pp), -0.48% in FY2023 (-8.25 pp), 7.77% in FY2022 (-13.08 pp) and 20.84% in FY2021 (+12.50 pp).
- Quarterly Return on Sales [ROS] has run from a low of -13.94% in Q1 2023 to a high of 690.47% in Q3 2023 over five years.
- On a year-over-year basis, Return on Sales [ROS] has increased in each of the last four quarters, with an average year-over-year change of -84.38 percentage points over the last eight quarters.
- The strongest year-over-year quarter for Return on Sales [ROS] in the past five years was Q3 2023, with a gain of 684.68 percentage points; the weakest was Q3 2024, with a drop of 687.23 percentage points.
- According to Business Quant data, Return on Sales [ROS] for the three prior quarters was 3.16% (Q1 2026), -1.29% (Q4 2025) and 4.41% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Las Vegas Sands | 23.47 Bn | 9.89 Bn | 1.48 Bn | 19.59% |
| 2 | DraftKings | 16.53 Bn | 12.19 Bn | 551.45 Mn | -4.72% |
| 3 | Flutter Entertainment | 12.99 Bn | 6.73 Bn | 1.71 Bn | -3.33% |
| 4 | Madison Square Garden Sports | 9.80 Bn | 9.40 Bn | 119.21 Mn | 11.53% |
| 5 | Life Time Group Holdings | 9.15 Bn | 8.39 Bn | 412.26 Mn | 17.29% |
| 6 | Wynn Resorts | 7.85 Bn | 1.40 Bn | 758.95 Mn | 16.03% |
| 7 | MGM Resorts International | 7.67 Bn | -517.04 Mn | 1.98 Bn | 11.32% |
| 8 | Light & Wonder | 7.12 Bn | 6.43 Bn | 618.00 Mn | 26.93% |
| 9 | Caesars Entertainment | 6.04 Bn | 2.66 Bn | 1.50 Bn | 17.14% |
| 10 | Full House Resorts | 50.92 Mn | -85.45 Mn | 40.37 Mn | 2.91% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.91% |
| Mar 31, 2026 | 3.16% |
| Dec 31, 2025 | -1.29% |
| Sep 30, 2025 | 4.41% |
| Jun 30, 2025 | -0.10% |
| Mar 31, 2025 | 0.98% |
| Dec 31, 2024 | -1.93% |
| Sep 30, 2024 | 3.24% |
| Jun 30, 2024 | 3.15% |
| Mar 31, 2024 | -0.87% |
| Dec 31, 2023 | -8.54% |
| Sep 30, 2023 | 690.47% |
| Jun 30, 2023 | 1.00% |
| Mar 31, 2023 | -13.94% |
| Dec 31, 2022 | -8.96% |
| Sep 30, 2022 | 5.79% |
| Jun 30, 2022 | 18.52% |
| Mar 31, 2022 | 12.80% |
| Dec 31, 2021 | 12.79% |
| Sep 30, 2021 | 23.54% |
Full House Resorts Return on Sales [ROS] 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=return-on-sales-%5Bros%5D&ticker=FLL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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=return-on-sales-%5Bros%5D&ticker=FLL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();