Madison Square Garden Sports (MSGS) Net Short-Term Debt Issued (Repaid) (2020 - 2025)
Madison Square Garden Sports' Net Short-Term Debt Issued (Repaid) came in at -$32.5 million for FY2026 (year ended Jun 30, 2026), compared with -$14 million in FY2025.
Madison Square Garden Sports (MSGS) Net Short-Term Debt Issued (Repaid) (2020 - 2025) Analysis & Trends
Going back to FY2020, Madison Square Garden Sports' Net Short-Term Debt Issued (Repaid) data covers 7 fiscal years.
- The FY2026 figure represents the lowest annual Net Short-Term Debt Issued (Repaid) since FY2022.
- Per Business Quant, earlier fiscal years put Net Short-Term Debt Issued (Repaid) at -$14 million in FY2025, -$20 million in FY2024, $75 million in FY2023 and -$135 million in FY2022.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net ST Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Las Vegas Sands | 25.75 Bn | 12.34 Bn | 1.47 Bn | - |
| 2 | Flutter Entertainment | 14.42 Bn | 7.81 Bn | 1.52 Bn | - |
| 3 | Life Time Group Holdings | 10.41 Bn | 9.58 Bn | 419.01 Mn | - |
| 4 | DraftKings | 9.28 Bn | 4.95 Bn | 551.45 Mn | - |
| 5 | Wynn Resorts | 8.83 Bn | 2.96 Bn | 655.12 Mn | - |
| 6 | MGM Resorts International | 8.29 Bn | -1.01 Bn | 1.73 Bn | -12.77 Mn |
| 7 | Madison Square Garden Sports | 7.83 Bn | 7.42 Bn | 119.21 Mn | - |
| 8 | Light & Wonder | 7.12 Bn | 6.42 Bn | 623.00 Mn | -140.00 Mn |
| 9 | Churchill Downs | 6.92 Bn | 6.15 Bn | 207.00 Mn | - |
| 10 | Caesars Entertainment | 5.97 Bn | 2.39 Bn | 1.44 Bn | - |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2025 | -14.00 Mn |
| Jun 30, 2024 | -55.00 Mn |
| Sep 30, 2023 | 75.00 Mn |
| Jun 30, 2023 | -55.00 Mn |
| Mar 31, 2023 | -55.00 Mn |
| Dec 31, 2022 | 215.00 Mn |
| Jun 30, 2022 | -65.00 Mn |
| Mar 31, 2022 | -45.00 Mn |
| Jun 30, 2021 | -25.00 Mn |
| Mar 31, 2020 | 350.00 Mn |
Madison Square Garden Sports Net Short-Term Debt Issued (Repaid) 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=current-debt&ticker=MSGS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "current-debt", "ticker": "MSGS", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=current-debt&ticker=MSGS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();