Madison Square Garden Sports (MSGS) Net Long-Term Debt Issued (Repaid) (2018 - 2020)
Madison Square Garden Sports (MSGS) recorded Net Long-Term Debt Issued (Repaid) of -$5 million in FY2020 (year ended Jun 30, 2020), compared with -$68.71 million in FY2019.
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Analysis
Madison Square Garden Sports (MSGS) Net Long-Term Debt Issued (Repaid) (2018 - 2020) Analysis & Trends
Starting with FY2014, Madison Square Garden Sports' Net Long-Term Debt Issued (Repaid) history includes 4 fiscal years.
- Per Business Quant data, MSGS's Net Long-Term Debt Issued (Repaid) was -$68.71 million in FY2019 and -$688,000 in FY2018.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net LT Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Las Vegas Sands | 25.66 Bn | 12.26 Bn | 1.47 Bn | 132.00 Mn |
| 2 | Flutter Entertainment | 14.04 Bn | 7.43 Bn | 1.52 Bn | 289.00 Mn |
| 3 | Life Time Group Holdings | 10.41 Bn | 9.58 Bn | 419.01 Mn | -6.19 Mn |
| 4 | DraftKings | 9.31 Bn | 4.97 Bn | 551.45 Mn | -1.50 Mn |
| 5 | Wynn Resorts | 8.77 Bn | 2.90 Bn | 655.12 Mn | 3.47 Mn |
| 6 | MGM Resorts International | 8.21 Bn | -1.09 Bn | 1.73 Bn | -400.00 Mn |
| 7 | Madison Square Garden Sports | 7.49 Bn | 7.09 Bn | 119.21 Mn | - |
| 8 | Light & Wonder | 7.12 Bn | 6.42 Bn | 623.00 Mn | -16.00 Mn |
| 9 | Churchill Downs | 6.90 Bn | 6.13 Bn | 207.00 Mn | -47.00 Mn |
| 10 | Caesars Entertainment | 5.95 Bn | 2.37 Bn | 1.44 Bn | -148.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2020 | -1.25 Mn |
| Dec 31, 2019 | -1.25 Mn |
| Sep 30, 2019 | -2.50 Mn |
| Jun 30, 2019 | -65.38 Mn |
| Dec 31, 2018 | -489,000.00 |
| Sep 30, 2018 | -2.83 Mn |
| Jun 30, 2018 | -688,000.00 |
API Access
Madison Square Garden Sports Net Long-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=non-current-debt&ticker=MSGS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-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=non-current-debt&ticker=MSGS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();