Seaport Entertainment (SEG) Long-Term Debt Repayments (2023 - 2026)
Seaport Entertainment's Long-Term Debt Repayments was $1.04 million in Q2 2026, down 98.3% from the prior quarter.
Seaport Entertainment (SEG) Long-Term Debt Repayments (2023 - 2026) Analysis & Trends
On a trailing twelve-month basis, Seaport Entertainment's Long-Term Debt Repayments was $63.35 million through Jun 30, 2026; for FY2025, it came in at $2 million, down 96.4% from FY2024.
- Long-Term Debt Repayments shows a three-year compound annual growth rate of 1.5% (FY2022 to FY2025).
- In earlier years, Long-Term Debt Repayments was $55.6 million in FY2024 (-45.4%), $101.81 million in FY2023 and $1.91 million in FY2022.
- Quarterly Long-Term Debt Repayments has moved between $917,000 (Q4 2023) and $100 million (Q3 2023) over five years.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Las Vegas Sands | 23.52 Bn | 10.12 Bn | 1.47 Bn | 30.00 Mn |
| 2 | Flutter Entertainment | 14.38 Bn | 7.75 Bn | 1.71 Bn | 311.00 Mn |
| 3 | DraftKings | 10.33 Bn | 5.99 Bn | 551.45 Mn | 1.50 Mn |
| 4 | Life Time Group Holdings | 10.02 Bn | 10.02 Bn | - | - |
| 5 | Wynn Resorts | 7.63 Bn | 1.92 Bn | 758.95 Mn | 6.84 Mn |
| 6 | MGM Resorts International | 7.49 Bn | -1.81 Bn | 1.73 Bn | 400.00 Mn |
| 7 | Madison Square Garden Sports | 7.23 Bn | 6.83 Bn | 119.21 Mn | - |
| 8 | Light & Wonder | 7.12 Bn | 6.43 Bn | 618.00 Mn | 10.00 Mn |
| 9 | Churchill Downs | 6.54 Bn | 5.78 Bn | 207.00 Mn | 667.00 Mn |
| 10 | Seaport Entertainment | 288.56 Mn | -128.09 Mn | 11.36 Mn | 1.04 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.04 Mn |
| Mar 31, 2026 | 61.30 Mn |
| Dec 31, 2025 | 1.01 Mn |
| Dec 31, 2024 | 963,000.00 |
| Sep 30, 2024 | 53.70 Mn |
| Dec 31, 2023 | 917,000.00 |
| Sep 30, 2023 | 100.00 Mn |
Seaport Entertainment Long-Term Debt Repayments 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=long-term-debt-repayments&ticker=SEG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "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=long-term-debt-repayments&ticker=SEG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();