Sports Entertainment Gaming Global (SEGG) Non Operating Interest Expenses (2025 - 2026)
Sports Entertainment Gaming Global (SEGG) reported Non Operating Interest Expenses of $453,918 for Q2 2026, up 467.0% from $80,063 a year earlier and up 14.4% from the prior quarter.
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Analysis
Sports Entertainment Gaming Global (SEGG) Non Operating Interest Expenses (2025 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Sports Entertainment Gaming Global's Non Operating Interest Expenses came in at $1 million; for FY2021, it was $19.79 million.
- By year, Non Operating Interest Expenses came in at $1.22 million in FY2020.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 3,519.17 Bn | 3,254.07 Bn | 76.16 Bn | - |
| 2 | Meta Platforms | 1,642.70 Bn | 1,307.22 Bn | 51.23 Bn | - |
| 3 | Netflix | 263.41 Bn | 224.71 Bn | 6.80 Bn | 184.70 Mn |
| 4 | Alibaba Group Holding | 244.10 Bn | 57.73 Bn | 15.16 Bn | -346.00 Mn |
| 5 | Shopify | 194.90 Bn | 173.71 Bn | 1.78 Bn | - |
| 6 | Uber Technologies | 144.36 Bn | 115.17 Bn | 6.42 Bn | 152.00 Mn |
| 7 | AppLovin | 136.81 Bn | 125.34 Bn | 1.94 Bn | 51.07 Mn |
| 8 | Spotify Technology | 124.16 Bn | 81.07 Bn | 1.89 Bn | -33.36 Mn |
| 9 | Booking Holdings | 121.90 Bn | 55.64 Bn | - | 311.00 Mn |
| 10 | Sports Entertainment Gaming Global | 2.24 Mn | 302,353.88 | 937,454.00 | 453,918.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 453,918.00 |
| Mar 31, 2026 | 396,819.00 |
| Mar 31, 2025 | 71,807.00 |
API Access
Sports Entertainment Gaming Global Non Operating Interest Expenses 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-operating-interest-expenses&ticker=SEGG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-interest-expenses", "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=non-operating-interest-expenses&ticker=SEGG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();