Madison Square Garden Sports (MSGS) EBITDA (2014 - 2026)
Madison Square Garden Sports (MSGS) posted EBITDA of $32.94 million for fiscal Q4 2026 (quarter ended Jun 30, 2026), compared with -$21.75 million a year earlier.
Madison Square Garden Sports (MSGS) EBITDA (2014 - 2026) Analysis & Trends
For FY2026 (ended Jun 30, 2026), Madison Square Garden Sports' EBITDA came in at $32.05 million, up 77.8% from FY2025.
- In prior fiscal years, Madison Square Garden Sports' EBITDA was $18.03 million in FY2025 (-87.9%), $149.2 million in FY2024 (+68.1%), $88.75 million in FY2023 (-2.6%) and $91.12 million in FY2022.
- The fiscal Q4 2026 figure stands as the highest quarterly EBITDA since fiscal Q3 2025.
- On a year-over-year basis, EBITDA increased in 1 of the last four quarters, with an average decline of 35.0%.
- The strongest year-over-year quarter for EBITDA in the past five years was fiscal Q3 2022, with growth of 545.6%; the weakest was fiscal Q3 2026, with a decline of 91.7%.
- According to Business Quant data, EBITDA for the three prior fiscal quarters was $2.75 million (Q3 2026), $22.97 million (Q2 2026) and -$26.61 million (Q1 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Las Vegas Sands | 25.14 Bn | 11.55 Bn | 1.48 Bn | 989.00 Mn |
| 2 | DraftKings | 18.81 Bn | 14.47 Bn | 551.45 Mn | 12.17 Mn |
| 3 | Flutter Entertainment | 13.30 Bn | 7.05 Bn | 1.71 Bn | 255.00 Mn |
| 4 | Madison Square Garden Sports | 10.02 Bn | 9.62 Bn | 119.21 Mn | 32.94 Mn |
| 5 | Life Time Group Holdings | 8.83 Bn | 8.07 Bn | 412.26 Mn | 233.06 Mn |
| 6 | Wynn Resorts | 8.33 Bn | 1.88 Bn | 758.95 Mn | 463.01 Mn |
| 7 | MGM Resorts International | 8.01 Bn | -169.85 Mn | 1.98 Bn | 785.95 Mn |
| 8 | Caesars Entertainment | 6.03 Bn | 2.65 Bn | 1.50 Bn | 868.00 Mn |
| 9 | Super Group (SGHC) | 5.93 Bn | 3.92 Bn | - | 133.00 Mn |
| 10 | Red Rock Resorts | 5.30 Bn | 4.88 Bn | 315.50 Mn | 194.98 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 32.94 Mn |
| Mar 31, 2026 | 2.75 Mn |
| Dec 31, 2025 | 22.97 Mn |
| Sep 30, 2025 | -26.61 Mn |
| Jun 30, 2025 | -21.75 Mn |
| Mar 31, 2025 | 33.17 Mn |
| Dec 31, 2024 | 14.11 Mn |
| Sep 30, 2024 | -7.49 Mn |
| Jun 30, 2024 | 53.10 Mn |
| Mar 31, 2024 | 80.53 Mn |
| Dec 31, 2023 | 29.61 Mn |
| Sep 30, 2023 | -14.03 Mn |
| Jun 30, 2023 | -11.32 Mn |
| Mar 31, 2023 | 82.59 Mn |
| Dec 31, 2022 | 52.36 Mn |
| Sep 30, 2022 | -34.87 Mn |
| Jun 30, 2022 | 24.90 Mn |
| Mar 31, 2022 | 62.60 Mn |
| Dec 31, 2021 | 37.13 Mn |
| Sep 30, 2021 | -33.51 Mn |
Madison Square Garden Sports 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=MSGS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=MSGS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();