Seaport Entertainment (SEG) Return on Sales [ROS] (2023 - 2026)
Seaport Entertainment (SEG) posted Return on Sales [ROS] of -32.38% for Q2 2026, up 7.84 percentage points from -40.22% a year earlier and up 301.44 percentage points from the prior quarter.
Seaport Entertainment (SEG) Return on Sales [ROS] (2023 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Return on Sales [ROS] at Seaport Entertainment was -101.23%, down 21.33 percentage points year-over-year; for FY2025, it was -90.60%, up 2.11 percentage points from FY2024.
- Annual Return on Sales [ROS] shows a three-year change of -34.60 percentage points (FY2022 to FY2025).
- In prior years, Seaport Entertainment's Return on Sales [ROS] was -92.71% in FY2024 (+566.11 pp), -658.82% in FY2023 (-602.81 pp) and -56.00% in FY2022.
- The Q2 2026 figure stands as the highest quarterly Return on Sales [ROS] in data going back to Q2 2023.
- On a year-over-year basis, Return on Sales [ROS] increased in five of the last eight quarters, with an average year-over-year change of +192.91 percentage points.
- The strongest year-over-year quarter for Return on Sales [ROS] in the past five years was Q3 2024, with a gain of 1650.61 percentage points; the weakest was Q1 2026, with a drop of 130.31 percentage points.
- According to Business Quant data, Return on Sales [ROS] for the three prior quarters was -333.82% (Q1 2026), -120.54% (Q4 2025) and -75.25% (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 | Seaport Entertainment | 285.17 Mn | -121.58 Mn | 11.36 Mn | -32.38% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -32.38% |
| Mar 31, 2026 | -333.82% |
| Dec 31, 2025 | -120.54% |
| Sep 30, 2025 | -75.25% |
| Jun 30, 2025 | -40.22% |
| Mar 31, 2025 | -203.51% |
| Dec 31, 2024 | -112.39% |
| Sep 30, 2024 | -50.95% |
| Jun 30, 2024 | -75.32% |
| Mar 31, 2024 | -215.84% |
| Dec 31, 2023 | -112.51% |
| Sep 30, 2023 | -1,701.56% |
| Jun 30, 2023 | -44.28% |
Seaport Entertainment 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=SEG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "SEG", "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=SEG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();