Seaport Entertainment (SEG) EBITDA (2023 - 2026)
Seaport Entertainment (SEG) recorded EBITDA of -$4.29 million in Q2 2026, compared with -$9.43 million a year earlier.
Seaport Entertainment (SEG) EBITDA (2023 - 2026) Analysis & Trends
On a TTM basis, Seaport Entertainment's EBITDA came in at -$78.62 million as of Jun 30, 2026; for FY2025, it was -$85.96 million.
- Across earlier years, EBITDA came in at -$67.4 million in FY2024, -$708.23 million in FY2023 and -$19.32 million in FY2022.
- The Q2 2026 figure is the highest quarterly EBITDA since Q2 2023.
- Per Business Quant, the preceding three quarters came in at -$22.41 million (Q1 2026), -$24.96 million (Q4 2025) and -$26.97 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Las Vegas Sands | 24.50 Bn | 10.92 Bn | 1.48 Bn | 989.00 Mn |
| 2 | DraftKings | 16.89 Bn | 12.55 Bn | 551.45 Mn | 12.17 Mn |
| 3 | Flutter Entertainment | 12.94 Bn | 6.68 Bn | 1.71 Bn | 255.00 Mn |
| 4 | Madison Square Garden Sports | 9.77 Bn | 9.37 Bn | 119.21 Mn | 32.94 Mn |
| 5 | Life Time Group Holdings | 8.91 Bn | 8.14 Bn | 412.26 Mn | 233.06 Mn |
| 6 | Wynn Resorts | 8.21 Bn | 1.77 Bn | 758.95 Mn | 463.01 Mn |
| 7 | MGM Resorts International | 7.81 Bn | -371.12 Mn | 1.98 Bn | 785.95 Mn |
| 8 | Caesars Entertainment | 6.04 Bn | 2.66 Bn | 1.50 Bn | 868.00 Mn |
| 9 | Super Group (SGHC) | 5.74 Bn | 3.73 Bn | - | 133.00 Mn |
| 10 | Seaport Entertainment | 292.59 Mn | -114.15 Mn | 11.36 Mn | -4.29 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -4.29 Mn |
| Mar 31, 2026 | -22.41 Mn |
| Dec 31, 2025 | -24.96 Mn |
| Sep 30, 2025 | -26.97 Mn |
| Jun 30, 2025 | -9.43 Mn |
| Mar 31, 2025 | -24.61 Mn |
| Dec 31, 2024 | -11.73 Mn |
| Sep 30, 2024 | -12.40 Mn |
| Jun 30, 2024 | -20.03 Mn |
| Mar 31, 2024 | -23.25 Mn |
| Dec 31, 2023 | -16.44 Mn |
| Sep 30, 2023 | -675.26 Mn |
| Jun 30, 2023 | -3.45 Mn |
Seaport Entertainment EBITDA 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=ebitda&ticker=SEG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=SEG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();