Sports Entertainment Gaming Global (SEGG) EBITDA (2021 - 2025)
Sports Entertainment Gaming Global's EBITDA came in at -$13.38 million for FY2025, compared with -$13.28 million in FY2024.
Analysis
Sports Entertainment Gaming Global (SEGG) EBITDA (2021 - 2025) Analysis & Trends
Going back to FY2020, Sports Entertainment Gaming Global's EBITDA data covers 6 years.
- The five-year range for annual EBITDA is -$54.4 million (FY2022) to -$13.28 million (FY2024).
- Per Business Quant, earlier years put EBITDA at -$13.28 million in FY2024, -$25.41 million in FY2023, -$54.4 million in FY2022 and -$48.71 million in FY2021.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 4,180.92 Bn | 3,938.44 Bn | 73.85 Bn | 47.87 Bn |
| 2 | Meta Platforms | 1,847.76 Bn | 1,550.28 Bn | 49.47 Bn | 25.13 Bn |
| 3 | Netflix | 289.73 Bn | 249.92 Bn | 6.52 Bn | 4.29 Bn |
| 4 | Alibaba Group Holding | 249.81 Bn | 67.68 Bn | 15.11 Bn | - |
| 5 | Shopify | 192.08 Bn | 169.26 Bn | 1.71 Bn | 495.00 Mn |
| 6 | Uber Technologies | 139.76 Bn | 111.74 Bn | 6.38 Bn | 2.09 Bn |
| 7 | Booking Holdings | 122.41 Bn | 55.46 Bn | - | 2.63 Bn |
| 8 | PDD Holdings | 110.94 Bn | -140.99 Bn | 9.45 Bn | - |
| 9 | Spotify Technology | 100.32 Bn | 57.56 Bn | 1.86 Bn | 348.71 Mn |
| 10 | Sports Entertainment Gaming Global | 1.17 Mn | 1.12 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2025 | -3.95 Mn |
| Jun 30, 2024 | -5.89 Mn |
| Dec 31, 2023 | -14.93 Mn |
| Sep 30, 2023 | -1.78 Mn |
| Jun 30, 2023 | -4.20 Mn |
| Dec 31, 2022 | -6.13 Mn |
| Sep 30, 2022 | -4.65 Mn |
| Jun 30, 2022 | -13.17 Mn |
| Mar 31, 2022 | -30.45 Mn |
| Dec 31, 2021 | -39.55 Mn |
| Sep 30, 2021 | -5.55 Mn |
| Jun 30, 2021 | -666,148.00 |
| Mar 31, 2021 | -2.43 Mn |
API Access
Sports Entertainment Gaming Global 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=SEGG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "ticker": "SEGG", "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=SEGG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();