Sports Entertainment Gaming Global (SEGG) Non-Current Assets (2017 - 2026)
Sports Entertainment Gaming Global (SEGG) recorded Non-Current Assets of $107.36 million in Q2 2026, up 199.2% from $35.88 million a year earlier but down 0.4% from the prior quarter.
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Analysis
Sports Entertainment Gaming Global (SEGG) Non-Current Assets (2017 - 2026) Analysis & Trends
At the end of FY2025, Sports Entertainment Gaming Global reported Non-Current Assets of $40.02 million, up 8.0% from FY2024.
- Annual Non-Current Assets has a five-year compound annual growth rate of 18.5% (FY2020 to FY2025).
- Across earlier years, Non-Current Assets came in at $37.05 million in FY2024 (-15.9%), $44.07 million in FY2023 (-25.2%), $58.94 million in FY2022 (+21.0%) and $48.69 million in FY2021 (+184.3%).
- Quarterly Non-Current Assets has ranged from $35.88 million in Q2 2025 to $107.8 million in Q1 2026 over the past five years.
- On a year-over-year basis, Non-Current Assets rose in two of the last four quarters, with growth averaging 44.4%.
- Peak year-over-year performance for Non-Current Assets in the last five years was growth of 199.2% in Q2 2026, against a decline of 25.7% in Q2 2024 at the low end.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 3,519.17 Bn | 3,254.07 Bn | 76.16 Bn | 628.65 Bn |
| 2 | Meta Platforms | 1,642.70 Bn | 1,307.22 Bn | 51.23 Bn | 358.94 Bn |
| 3 | Netflix | 263.41 Bn | 224.71 Bn | 6.80 Bn | 45.46 Bn |
| 4 | Alibaba Group Holding | 244.10 Bn | 57.73 Bn | 15.16 Bn | 182.35 Bn |
| 5 | Shopify | 194.90 Bn | 173.71 Bn | 1.78 Bn | 6.88 Bn |
| 6 | Uber Technologies | 144.36 Bn | 115.17 Bn | 6.42 Bn | 53.20 Bn |
| 7 | AppLovin | 136.81 Bn | 125.34 Bn | 1.94 Bn | 2.88 Bn |
| 8 | Spotify Technology | 124.16 Bn | 81.07 Bn | 1.89 Bn | - |
| 9 | Booking Holdings | 121.90 Bn | 55.64 Bn | - | 6.67 Bn |
| 10 | Sports Entertainment Gaming Global | 2.24 Mn | 302,353.88 | 937,454.00 | 107.36 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 107.36 Mn |
| Mar 31, 2026 | 107.80 Mn |
| Dec 31, 2025 | 40.02 Mn |
| Jun 30, 2025 | 35.88 Mn |
| Dec 31, 2024 | 37.05 Mn |
| Jun 30, 2024 | 41.60 Mn |
| Dec 31, 2023 | 44.07 Mn |
| Sep 30, 2023 | 54.60 Mn |
| Jun 30, 2023 | 56.02 Mn |
| Dec 31, 2022 | 58.94 Mn |
| Sep 30, 2022 | 60.39 Mn |
| Mar 31, 2022 | 63.47 Mn |
| Dec 31, 2021 | 48.69 Mn |
| Sep 30, 2021 | 63.96 Mn |
| Jun 30, 2021 | 63.63 Mn |
| Mar 31, 2021 | 63.63 Mn |
| Dec 31, 2020 | 17.13 Mn |
| Sep 30, 2020 | 63.32 Mn |
| Jun 30, 2020 | 69.10 Mn |
| Mar 31, 2020 | 75.14 Mn |
API Access
Sports Entertainment Gaming Global Non-Current Assets 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-current-assets&ticker=SEGG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-assets", "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-current-assets&ticker=SEGG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();