Sports Entertainment Gaming Global (SEGG) Operating Expenses (2017 - 2025)
Sports Entertainment Gaming Global's Operating Expenses came in at $3,411 for Q4 2025, up 141.4% from $1,413 a year earlier and up 311.0% from the prior quarter.
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Analysis
Sports Entertainment Gaming Global (SEGG) Operating Expenses (2017 - 2025) Analysis & Trends
For FY2025, Sports Entertainment Gaming Global's Operating Expenses was $17.65 million, down 6.6% from FY2024.
- Operating Expenses carries a five-year compound annual growth rate of 16.5% (FY2020 to FY2025).
- Going back by year, Operating Expenses was $18.91 million in FY2024, $90,744 in FY2023 (-99.8%), $58.26 million in FY2022 (+52.8%) and $38.13 million in FY2021 (+364.0%).
- The five-year range for quarterly Operating Expenses is $830.00 (Q3 2025) to $31.93 million (Q1 2022).
- Year-over-year, Operating Expenses increased in two of the last seven quarters, with an average decline of 23.2%.
- The fastest year-over-year change in Operating Expenses over five years came in Q1 2022 (growth of 506.2%), and the weakest in Q3 2024 (a decline of 99.9%).
- Business Quant data shows SEGG's Operating Expenses at $830.00 (Q3 2025), $3.98 million (Q2 2025) and $1,718 (Q1 2025) in the three quarters before Q4 2025.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 4,180.92 Bn | 3,938.44 Bn | 73.85 Bn | 79.03 Bn |
| 2 | Meta Platforms | 1,847.76 Bn | 1,550.28 Bn | 49.47 Bn | 42.03 Bn |
| 3 | Netflix | 289.73 Bn | 249.92 Bn | 6.52 Bn | 1.51 Bn |
| 4 | Alibaba Group Holding | 249.81 Bn | 67.68 Bn | 15.11 Bn | -5.17 Bn |
| 5 | Shopify | 192.08 Bn | 169.26 Bn | 1.71 Bn | 1.22 Bn |
| 6 | Uber Technologies | 139.76 Bn | 111.74 Bn | 6.38 Bn | 12.30 Bn |
| 7 | Booking Holdings | 122.41 Bn | 55.46 Bn | - | 4.85 Bn |
| 8 | PDD Holdings | 110.94 Bn | -140.99 Bn | 9.45 Bn | -5.39 Bn |
| 9 | Spotify Technology | 100.32 Bn | 57.56 Bn | 1.86 Bn | 640.46 Mn |
| 10 | Sports Entertainment Gaming Global | 1.17 Mn | 1.12 Mn | - | 3,411.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 3,411.00 |
| Sep 30, 2025 | 830.00 |
| Jun 30, 2025 | 3.98 Mn |
| Mar 31, 2025 | 1,718.00 |
| Dec 31, 2024 | 1,413.00 |
| Sep 30, 2024 | 2,095.00 |
| Jun 30, 2024 | 6.10 Mn |
| Mar 31, 2024 | 2,846.00 |
| Dec 31, 2023 | 46,591.00 |
| Sep 30, 2023 | 3.37 Mn |
| Jun 30, 2023 | 4.77 Mn |
| Dec 31, 2022 | 3.85 Mn |
| Sep 30, 2022 | 6.53 Mn |
| Jun 30, 2022 | 15.93 Mn |
| Mar 31, 2022 | 31.93 Mn |
| Dec 31, 2021 | 19.56 Mn |
| Sep 30, 2021 | 2.70 Mn |
| Jun 30, 2021 | 734,670.00 |
| Mar 31, 2021 | 5.27 Mn |
| Dec 31, 2020 | 7.09 Mn |
API Access
Sports Entertainment Gaming Global Operating 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=operating-expenses&ticker=SEGG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-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=operating-expenses&ticker=SEGG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();