Seaport Entertainment (SEG) Buildings (2023 - 2026)
Seaport Entertainment (SEG) reported Buildings of $531.21 million for Q2 2026, down 2.2% from $543.09 million a year earlier but up 3.2% from the prior quarter.
Seaport Entertainment (SEG) Buildings (2023 - 2026) Analysis & Trends
At the end of FY2025, Seaport Entertainment posted Buildings of $537.24 million, up 2.8% from FY2024.
- By year, Buildings came in at $522.67 million in FY2024 (-1.1%) and $528.3 million in FY2023.
- Five-year quarterly Buildings spans a low of $514.82 million in Q1 2026 and a high of $543.09 million in Q2 2025.
- Year over year, Buildings gained in three of the last six quarters, with an average decline of 0.3%.
- Per Business Quant data, the three quarters before Q2 2026 came in at $514.82 million (Q1 2026), $537.24 million (Q4 2025) and $538.95 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Las Vegas Sands | 24.50 Bn | 10.92 Bn | 1.48 Bn |
| 2 | DraftKings | 16.89 Bn | 12.55 Bn | 551.45 Mn |
| 3 | Flutter Entertainment | 12.94 Bn | 6.68 Bn | 1.71 Bn |
| 4 | Madison Square Garden Sports | 9.77 Bn | 9.37 Bn | 119.21 Mn |
| 5 | Life Time Group Holdings | 8.91 Bn | 8.14 Bn | 412.26 Mn |
| 6 | Wynn Resorts | 8.21 Bn | 1.77 Bn | 758.95 Mn |
| 7 | MGM Resorts International | 7.81 Bn | -371.12 Mn | 1.98 Bn |
| 8 | Caesars Entertainment | 6.04 Bn | 2.66 Bn | 1.50 Bn |
| 9 | Super Group (SGHC) | 5.74 Bn | 3.73 Bn | - |
| 10 | Seaport Entertainment | 292.59 Mn | -114.15 Mn | 11.36 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 531.21 Mn |
| Mar 31, 2026 | 514.82 Mn |
| Dec 31, 2025 | 537.24 Mn |
| Sep 30, 2025 | 538.95 Mn |
| Jun 30, 2025 | 543.09 Mn |
| Mar 31, 2025 | 539.36 Mn |
| Dec 31, 2024 | 522.67 Mn |
| Sep 30, 2024 | 532.42 Mn |
| Jun 30, 2024 | 533.43 Mn |
| Dec 31, 2023 | 528.30 Mn |
Seaport Entertainment Buildings 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=buildings&ticker=SEG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "buildings", "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=buildings&ticker=SEG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();