Full House Resorts (FLL) Return on Sales [ROS] (2009 - 2026)
Full House Resorts (FLL) posted Return on Sales [ROS] of 5.40% for Q3 2026, up 1.00 percentage points from 4.41% a year earlier and up 2.50 percentage points from the prior quarter.
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Analysis
Full House Resorts (FLL) Return on Sales [ROS] (2009 - 2026) Analysis & Trends
For the trailing twelve months through Sep 30, 2026, Return on Sales [ROS] at Full House Resorts was 31.61%, up 30.72 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 five quarters, with an average year-over-year change of +3.96 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 2.91% (Q2 2026), 3.16% (Q1 2026) and 17.16% (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Wynn Resorts | 43.71 Bn | 37.08 Bn | 655.12 Mn | 10.55% |
| 2 | Vail Resorts | 27.65 Bn | 26.37 Bn | - | -75.09% |
| 3 | Las Vegas Sands | 25.32 Bn | 12.14 Bn | 1.47 Bn | 19.22% |
| 4 | DraftKings | 16.83 Bn | 12.62 Bn | 429.05 Mn | -37.10% |
| 5 | Flutter Entertainment | 14.10 Bn | 7.73 Bn | 1.52 Bn | -30.74% |
| 6 | Life Time Group Holdings | 10.44 Bn | 9.61 Bn | 419.01 Mn | 17.68% |
| 7 | MGM Resorts International | 8.43 Bn | -8.70 Mn | 1.73 Bn | 2.82% |
| 8 | MSG Knickerbockers | 7.58 Bn | 7.19 Bn | 36.67 Mn | -55.96% |
| 9 | Light & Wonder | 7.12 Bn | 6.42 Bn | 623.00 Mn | 29.37% |
| 10 | Full House Resorts | 19.79 Mn | -116.36 Mn | 42.29 Mn | 5.40% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 5.40% |
| Jun 30, 2026 | 2.91% |
| Mar 31, 2026 | 3.16% |
| Dec 31, 2025 | 17.16% |
| 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% |
API Access
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_KEYimport 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();