Seaport Entertainment (SEG) Return on Sales [ROS] (2023 - 2026)
Seaport Entertainment (SEG) posted Return on Sales [ROS] of -28.19% for Q3 2026, up 47.05 percentage points from -75.25% a year earlier and up 4.19 percentage points from the prior quarter.
Seaport Entertainment (SEG) Return on Sales [ROS] (2023 - 2026) Analysis & Trends
For the trailing twelve months through Sep 30, 2026, Return on Sales [ROS] at Seaport Entertainment was -90.08%, down 2.64 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 Q3 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 -7.54 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 -32.38% (Q2 2026), -333.82% (Q1 2026) and -120.54% (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Las Vegas Sands | 26.06 Bn | 12.66 Bn | 1.47 Bn | 19.22% |
| 2 | Flutter Entertainment | 14.35 Bn | 7.74 Bn | 1.52 Bn | -30.74% |
| 3 | Life Time Group Holdings | 10.48 Bn | 9.65 Bn | 419.01 Mn | 17.68% |
| 4 | DraftKings | 9.19 Bn | 4.85 Bn | 551.45 Mn | -4.72% |
| 5 | Wynn Resorts | 8.47 Bn | 2.61 Bn | 655.12 Mn | 10.55% |
| 6 | MGM Resorts International | 8.13 Bn | -1.17 Bn | 1.73 Bn | 2.82% |
| 7 | Madison Square Garden Sports | 7.83 Bn | 7.42 Bn | 119.21 Mn | 11.53% |
| 8 | Light & Wonder | 7.12 Bn | 6.42 Bn | 623.00 Mn | 29.37% |
| 9 | Churchill Downs | 6.86 Bn | 6.09 Bn | 207.00 Mn | 20.55% |
| 10 | Seaport Entertainment | 266.23 Mn | -149.68 Mn | 7.40 Mn | -28.19% |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | -28.19% |
| 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_KEY
import 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();