Super Group (SGHC) (SGHC) EBITDA (2020 - 2026)
Super Group (SGHC) (SGHC) reported EBITDA of $133 million for Q2 2026, up 638.9% from $18 million a year earlier and up 35.7% from the prior quarter.
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Analysis
Super Group (SGHC) (SGHC) EBITDA (2020 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Super Group (SGHC)'s EBITDA came in at $414 million, up 140.5% year-over-year; for FY2025, it was $419 million, up 48.3% from FY2024.
- EBITDA has a five-year compound annual growth rate of 9.6% (FY2020 to FY2025).
- By year, EBITDA came in at $282.49 million in FY2024 (+171.9%), $103.9 million in FY2023 (-32.7%), $154.41 million in FY2022 (-62.5%) and $411.73 million in FY2021 (+55.4%).
- The Q2 2026 figure ranks as the highest quarterly EBITDA since Q4 2020.
- Year over year, EBITDA gained in three of the last five quarters, with growth averaging 123.7%.
- The high point for year-over-year EBITDA in five years was Q2 2026 (growth of 638.9%); the low point was Q4 2022 (a decline of 94.2%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $98 million (Q1 2026), $68 million (Q4 2025) and $115 million (Q3 2025).
Peer Set
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
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 133.00 Mn |
| Mar 31, 2026 | 98.00 Mn |
| Dec 31, 2025 | 68.00 Mn |
| Sep 30, 2025 | 115.00 Mn |
| Jun 30, 2025 | 18.00 Mn |
| Mar 31, 2025 | 69.00 Mn |
| Dec 31, 2024 | 83.00 Mn |
| Sep 30, 2024 | 2.18 Mn |
| Jun 30, 2024 | -2.84 Mn |
| Mar 31, 2024 | 52.94 Mn |
| Dec 31, 2023 | -25.10 Mn |
| Sep 30, 2023 | 8.60 Mn |
| Jun 30, 2023 | 28.32 Mn |
| Mar 31, 2023 | -16.52 Mn |
| Dec 31, 2022 | 5.52 Mn |
| Sep 30, 2022 | 14.47 Mn |
| Jun 30, 2022 | 62.77 Mn |
| Mar 31, 2022 | 43.66 Mn |
| Dec 31, 2021 | 95.52 Mn |
| Sep 30, 2021 | 39.72 Mn |
API Access
Super Group (SGHC) 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=SGHC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "ticker": "SGHC", "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=SGHC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();