Sports Entertainment Gaming Global (SEGG) Price to Sales (2023 - 2026)
Sports Entertainment Gaming Global's (SEGG) Price to Sales was 2.97 for Q2 2026, down 98.9% from 270.09 a year earlier and down 60.4% from the prior quarter.
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Analysis
Sports Entertainment Gaming Global (SEGG) Price to Sales (2023 - 2026) Analysis & Trends
For FY2025, Price to Sales at Sports Entertainment Gaming Global was 4.59, up 5.2% from FY2024.
- By year, Price to Sales came in at 4.36 in FY2024.
- The Q2 2026 figure ranks as the lowest quarterly Price to Sales in data going back to Q2 2023.
- Per Business Quant data, the three quarters before Q2 2026 came in at 7.49 (Q1 2026), 18.65 (Q4 2025) and 86.55 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Alphabet | 3,521.12 Bn | 3,256.02 Bn | 76.16 Bn |
| 2 | Meta Platforms | 1,646.12 Bn | 1,310.64 Bn | 51.23 Bn |
| 3 | Netflix | 263.20 Bn | 224.50 Bn | 6.80 Bn |
| 4 | Alibaba Group Holding | 244.84 Bn | 58.48 Bn | 15.16 Bn |
| 5 | Shopify | 195.60 Bn | 174.41 Bn | 1.78 Bn |
| 6 | Uber Technologies | 144.99 Bn | 115.81 Bn | 6.42 Bn |
| 7 | AppLovin | 137.18 Bn | 125.71 Bn | 1.94 Bn |
| 8 | Spotify Technology | 123.67 Bn | 80.59 Bn | 1.89 Bn |
| 9 | Booking Holdings | 122.41 Bn | 56.15 Bn | - |
| 10 | Sports Entertainment Gaming Global | 2.37 Mn | 434,952.25 | 937,454.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.97 |
| Mar 31, 2026 | 7.49 |
| Dec 31, 2025 | 18.65 |
| Sep 30, 2025 | 86.55 |
| Jun 30, 2025 | 270.09 |
| Mar 31, 2025 | 1,087.63 |
| Jun 30, 2024 | 12.07 |
| Mar 31, 2024 | 8.95 |
| Dec 31, 2023 | 9.61 |
| Sep 30, 2023 | 5.10 |
| Jun 30, 2023 | 5.20 |
API Access
Sports Entertainment Gaming Global Price to Sales 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=price-to-sales&ticker=SEGG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-sales", "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=price-to-sales&ticker=SEGG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();