Light & Wonder (LAWIL) Return on Sales [ROS] (2009 - 2026)
Light & Wonder's Return on Sales [ROS] came in at 26.93% for Q2 2026, up 1.96 percentage points from 24.97% a year earlier and up 10.48 percentage points from the prior quarter.
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Analysis
Light & Wonder (LAWIL) Return on Sales [ROS] (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Light & Wonder reported Return on Sales [ROS] of 19.86%, down 2.01 percentage points year-over-year; for FY2025, it came in at 20.61%, down 0.34 percentage points from FY2024.
- Return on Sales [ROS] carries a five-year change of +35.03 percentage points (FY2020 to FY2025).
- Going back by year, Return on Sales [ROS] was 20.95% in FY2024 (+3.10 pp), 17.85% in FY2023 (+6.98 pp), 10.87% in FY2022 (+5.76 pp) and 5.11% in FY2021 (+19.53 pp).
- The five-year range for quarterly Return on Sales [ROS] is 0.69% (Q4 2021) to 27.23% (Q3 2025).
- Year-over-year, Return on Sales [ROS] increased in five of the last eight quarters, with an average year-over-year change of -0.45 percentage points.
- The fastest year-over-year change in Return on Sales [ROS] over five years came in Q4 2022 (a gain of 13.68 percentage points), and the weakest in Q4 2025 (a drop of 11.75 percentage points).
- Business Quant data shows LAWIL's Return on Sales [ROS] at 16.46% (Q1 2026), 9.33% (Q4 2025) and 27.23% (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Las Vegas Sands | 22.37 Bn | 9.19 Bn | 1.47 Bn | 19.22% |
| 2 | DraftKings | 18.59 Bn | 14.25 Bn | 551.45 Mn | -4.72% |
| 3 | Flutter Entertainment | 13.90 Bn | 7.65 Bn | 1.71 Bn | -3.33% |
| 4 | Madison Square Garden Sports | 9.36 Bn | 8.96 Bn | 119.21 Mn | 11.53% |
| 5 | Life Time Group Holdings | 9.36 Bn | 8.59 Bn | 412.26 Mn | 17.29% |
| 6 | Wynn Resorts | 7.52 Bn | 1.07 Bn | 758.95 Mn | 16.03% |
| 7 | Light & Wonder | 7.12 Bn | 6.43 Bn | 618.00 Mn | 26.93% |
| 8 | MGM Resorts International | 7.05 Bn | -1.13 Bn | 1.98 Bn | 11.32% |
| 9 | Caesars Entertainment | 5.87 Bn | 2.49 Bn | 1.50 Bn | 17.14% |
| 10 | Churchill Downs | 5.84 Bn | 5.11 Bn | 419.00 Mn | 36.43% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 26.93% |
| Mar 31, 2026 | 16.46% |
| Dec 31, 2025 | 9.33% |
| Sep 30, 2025 | 27.23% |
| Jun 30, 2025 | 24.97% |
| Mar 31, 2025 | 21.96% |
| Dec 31, 2024 | 21.08% |
| Sep 30, 2024 | 19.46% |
| Jun 30, 2024 | 21.39% |
| Mar 31, 2024 | 21.83% |
| Dec 31, 2023 | 20.23% |
| Sep 30, 2023 | 20.11% |
| Jun 30, 2023 | 15.46% |
| Mar 31, 2023 | 15.22% |
| Dec 31, 2022 | 14.37% |
| Sep 30, 2022 | 13.73% |
| Jun 30, 2022 | 7.54% |
| Mar 31, 2022 | 6.99% |
| Dec 31, 2021 | 0.69% |
| Sep 30, 2021 | 6.31% |
API Access
Light & Wonder 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=LAWIL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "LAWIL", "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=LAWIL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();