Seaport Entertainment (SEG) Price to Sales (2024 - 2026)
Seaport Entertainment's Price to Sales came in at 2.80 for Q2 2026, up 39.5% from 2.01 a year earlier and up 29.4% from the prior quarter.
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Analysis
Seaport Entertainment (SEG) Price to Sales (2024 - 2026) Analysis & Trends
For FY2025, Seaport Entertainment's Price to Sales was 1.94, down 16.1% from FY2024.
- Going back by year, Price to Sales was 2.31 in FY2024.
- The Q2 2026 figure represents the highest quarterly Price to Sales in data going back to Q3 2024.
- Year-over-year, Price to Sales increased in two of the last four quarters, with growth averaging 19.5%.
- Business Quant data shows SEG's Price to Sales at 2.16 (Q1 2026), 1.94 (Q4 2025) and 2.36 (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Las Vegas Sands | 23.47 Bn | 9.89 Bn | 1.48 Bn |
| 2 | DraftKings | 16.53 Bn | 12.19 Bn | 551.45 Mn |
| 3 | Flutter Entertainment | 12.99 Bn | 6.73 Bn | 1.71 Bn |
| 4 | Madison Square Garden Sports | 9.80 Bn | 9.40 Bn | 119.21 Mn |
| 5 | Life Time Group Holdings | 9.15 Bn | 8.39 Bn | 412.26 Mn |
| 6 | Wynn Resorts | 7.85 Bn | 1.40 Bn | 758.95 Mn |
| 7 | MGM Resorts International | 7.67 Bn | -517.04 Mn | 1.98 Bn |
| 8 | Light & Wonder | 7.12 Bn | 6.43 Bn | 618.00 Mn |
| 9 | Caesars Entertainment | 6.04 Bn | 2.66 Bn | 1.50 Bn |
| 10 | Seaport Entertainment | 285.17 Mn | -121.58 Mn | 11.36 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.80 |
| Mar 31, 2026 | 2.16 |
| Dec 31, 2025 | 1.94 |
| Sep 30, 2025 | 2.36 |
| Jun 30, 2025 | 2.01 |
| Mar 31, 2025 | 2.44 |
| Dec 31, 2024 | 2.31 |
| Sep 30, 2024 | 1.43 |
API Access
Seaport Entertainment Price to Sales 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=price-to-sales&ticker=SEG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-sales", "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=price-to-sales&ticker=SEG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();