Bally's (BALY) Return on Sales [ROS] (2018 - 2026)
Bally's (BALY) posted Return on Sales [ROS] of -4.29% for Q2 2026, down 3.92 percentage points from -0.37% a year earlier and down 16.42 percentage points from the prior quarter.
Bally's (BALY) Return on Sales [ROS] (2018 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Return on Sales [ROS] at Bally's was -7.30%, up 1.38 percentage points year-over-year; for FY2025, it came in at -11.40%, down 0.86 percentage points from FY2024.
- Annual Return on Sales [ROS] shows a five-year change of -6.47 percentage points (FY2020 to FY2025).
- In prior years, Bally's' Return on Sales [ROS] was -10.54% in FY2024 (-14.79 pp), 4.25% in FY2023 (+17.24 pp), -12.99% in FY2022 (-20.05 pp) and 7.06% in FY2021 (+11.99 pp).
- Quarterly Return on Sales [ROS] has run from a low of -78.81% in Q4 2022 to a high of 62.92% in Q1 2023 over five years.
- On a year-over-year basis, Return on Sales [ROS] increased in four of the last eight quarters, with an average year-over-year change of +3.50 percentage points.
- The strongest year-over-year quarter for Return on Sales [ROS] in the past five years was Q1 2023, with a gain of 58.82 percentage points; the weakest was Q1 2024, with a drop of 74.88 percentage points.
- According to Business Quant data, Return on Sales [ROS] for the three prior quarters was 12.12% (Q1 2026), -36.78% (Q4 2025) and 0.15% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Wynn Resorts | 44.86 Bn | 38.23 Bn | 655.12 Mn | 10.55% |
| 2 | Vail Resorts | 28.33 Bn | 27.04 Bn | - | -75.09% |
| 3 | Las Vegas Sands | 25.59 Bn | 12.41 Bn | 1.47 Bn | 19.22% |
| 4 | DraftKings | 17.25 Bn | 13.04 Bn | 429.05 Mn | -37.10% |
| 5 | Flutter Entertainment | 14.34 Bn | 7.97 Bn | 1.52 Bn | -30.74% |
| 6 | Life Time Group Holdings | 10.65 Bn | 9.82 Bn | 419.01 Mn | 17.68% |
| 7 | MGM Resorts International | 8.32 Bn | -116.89 Mn | 1.73 Bn | 2.82% |
| 8 | MSG Knickerbockers | 7.63 Bn | 7.24 Bn | 36.67 Mn | -55.96% |
| 9 | Light & Wonder | 7.12 Bn | 6.42 Bn | 623.00 Mn | 29.37% |
| 10 | Bally's | 585.90 Mn | 202.52 Mn | 391.85 Mn | -4.29% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -4.29% |
| Mar 31, 2026 | 12.12% |
| Dec 31, 2025 | -12.44% |
| Sep 30, 2025 | 0.15% |
| Jun 30, 2025 | -0.37% |
| Mar 31, 2025 | -0.49% |
| Sep 30, 2024 | -25.03% |
| Jun 30, 2024 | 0.90% |
| Mar 31, 2024 | -11.96% |
| Dec 31, 2023 | -51.65% |
| Sep 30, 2023 | 5.89% |
| Jun 30, 2023 | 0.99% |
| Mar 31, 2023 | 62.92% |
| Dec 31, 2022 | -78.81% |
| Sep 30, 2022 | 9.28% |
| Jun 30, 2022 | 15.44% |
| Mar 31, 2022 | 4.11% |
| Dec 31, 2021 | -8.10% |
| Sep 30, 2021 | 8.81% |
| Jun 30, 2021 | 30.08% |
Bally's 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=BALY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "BALY", "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=BALY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();