Hyperscale Data (GPUS) Price to Book (2011 - 2026)
Hyperscale Data's Price to Book came in at 2.85 for Q2 2026, down 90.0% from 28.50 a year earlier but up 2.9% from the prior quarter.
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Analysis
Hyperscale Data (GPUS) Price to Book (2011 - 2026) Analysis & Trends
For FY2025, Hyperscale Data's Price to Book was 2.49, down 96.6% from FY2024.
- Going back by year, Price to Book was 72.77 in FY2024, 0.14 in FY2023 (-66.7%), 0.41 in FY2022 (-100.0%) and 1282.56 in FY2021 (-94.1%).
- The five-year range for quarterly Price to Book is 0.14 (Q4 2023) to 19630.97 (Q3 2021).
- Year-over-year, Price to Book has declined for four consecutive quarters, with an average decline of 43.8% over the last five quarters.
- The fastest year-over-year change in Price to Book over five years came in Q2 2025 (growth of 135.8%), and the weakest in Q4 2022 (a decline of 100.0%).
- Business Quant data shows GPUS's Price to Book at 2.77 (Q1 2026), 2.49 (Q4 2025) and 5.28 (Q3 2025) in the three quarters before Q2 2026.
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 | 2.85 |
| Mar 31, 2026 | 2.77 |
| Dec 31, 2025 | 2.49 |
| Sep 30, 2025 | 5.28 |
| Jun 30, 2025 | 28.50 |
| Mar 31, 2025 | 10.32 |
| Dec 31, 2024 | 72.77 |
| Sep 30, 2024 | 112.21 |
| Jun 30, 2024 | 12.09 |
| Mar 31, 2024 | 0.46 |
| Dec 31, 2023 | 0.14 |
| Sep 30, 2023 | 1.89 |
| Jun 30, 2023 | 5.81 |
| Mar 31, 2023 | 0.63 |
| Dec 31, 2022 | 0.41 |
| Sep 30, 2022 | 15.50 |
| Jun 30, 2022 | 21.67 |
| Mar 31, 2022 | 6,349.67 |
| Dec 31, 2021 | 8,457.40 |
| Sep 30, 2021 | 19,630.97 |
API Access
Hyperscale Data Price to Book 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-book&ticker=GPUS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-book", "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=price-to-book&ticker=GPUS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();