Hyperscale Data (GPUS) Enterprise Value (2011 - 2026)
Hyperscale Data (GPUS) posted Enterprise Value of $273.88 million for Q2 2026, up 36.8% from $200.16 million a year earlier and up 7.3% from the prior quarter.
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Analysis
Hyperscale Data (GPUS) Enterprise Value (2011 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Enterprise Value at Hyperscale Data was $140.67 million, up 4.7% year-over-year; for FY2025, it was $269.89 million, up 123.9% from FY2024.
- Annual Enterprise Value shows a five-year compound annual growth rate of -80.9% (FY2020 to FY2025).
- In prior years, Hyperscale Data's Enterprise Value was $120.51 million in FY2024, $4.34 million in FY2023 (-95.1%), $89.11 million in FY2022 (-100.0%) and $293.06 billion in FY2021 (-72.6%).
- The Q2 2026 figure stands as the highest quarterly Enterprise Value since Q2 2024.
- On a year-over-year basis, Enterprise Value has increased in each of the last four quarters, with growth averaging 139.0% over the last seven quarters.
- The strongest year-over-year quarter for Enterprise Value in the past five years was Q3 2021, with growth of 675.2%; the weakest was Q4 2022, with a decline of 100.0%.
- According to Business Quant data, Enterprise Value for the three prior quarters was $255.16 million (Q1 2026), $269.89 million (Q4 2025) and $259.19 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Coinbase Global | 49.17 Bn | 5.98 Bn | - |
| 2 | PayPal Holdings | 45.28 Bn | 3.51 Bn | - |
| 3 | Block | 44.18 Bn | 15.44 Bn | 3.17 Bn |
| 4 | Iren | 31.11 Bn | 18.70 Bn | 103.89 Mn |
| 5 | Corpay | 25.52 Bn | 15.72 Bn | - |
| 6 | Fiserv | 24.03 Bn | 20.73 Bn | 2.90 Bn |
| 7 | Global Payments | 21.72 Bn | 155.29 Mn | 2.03 Bn |
| 8 | Bitmine Immersion Technologies | 15.32 Bn | 12.70 Bn | 40.81 Mn |
| 9 | Guidewire Software | 11.69 Bn | 8.26 Bn | 269.68 Mn |
| 10 | Hyperscale Data | 76.03 Mn | -115.95 Mn | 8.80 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 273.88 Mn |
| Mar 31, 2026 | 255.16 Mn |
| Dec 31, 2025 | 269.89 Mn |
| Sep 30, 2025 | 259.19 Mn |
| Jun 30, 2025 | 200.16 Mn |
| Mar 31, 2025 | 45.93 Mn |
| Dec 31, 2024 | 120.51 Mn |
| Sep 30, 2024 | 236.57 Mn |
| Jun 30, 2024 | 301.57 Mn |
| Mar 31, 2024 | 9.51 Mn |
| Dec 31, 2023 | 4.34 Mn |
| Sep 30, 2023 | 241.99 Mn |
| Jun 30, 2023 | 708.74 Mn |
| Mar 31, 2023 | 226.72 Mn |
| Dec 31, 2022 | 89.11 Mn |
| Sep 30, 2022 | 5.35 Bn |
| Jun 30, 2022 | 7.57 Bn |
| Mar 31, 2022 | 1,958.68 Bn |
| Dec 31, 2021 | 1,932.19 Bn |
| Sep 30, 2021 | 3,945.41 Bn |
API Access
Hyperscale Data Enterprise Value 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=enterprise-value&ticker=GPUS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "enterprise-value", "ticker": "GPUS", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=enterprise-value&ticker=GPUS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();