Hyperscale Data (GPUS) Property, Plant & Equipment (Net) (2010 - 2026)
Hyperscale Data's Property, Plant & Equipment (Net) came in at $148.28 million for Q2 2026, up 9.2% from $135.84 million a year earlier and up 0.8% from the prior quarter.
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Analysis
Hyperscale Data (GPUS) Property, Plant & Equipment (Net) (2010 - 2026) Analysis & Trends
At the end of FY2025, Hyperscale Data's Property, Plant & Equipment (Net) was $141.99 million, down 1.6% from FY2024.
- Property, Plant & Equipment (Net) carries a five-year compound annual growth rate of 131.8% (FY2020 to FY2025).
- Going back by year, Property, Plant & Equipment (Net) was $144.36 million in FY2024 (-26.2%), $195.67 million in FY2023 (+33.3%), $146.78 million in FY2022 (-15.7%) and $174.03 million in FY2021.
- The Q2 2026 figure represents the highest quarterly Property, Plant & Equipment (Net) since Q3 2024.
- Year-over-year, Property, Plant & Equipment (Net) increased in four of the last eight quarters, with an average year-over-year change of 0.0%.
- The fastest year-over-year change in Property, Plant & Equipment (Net) over five years came in Q3 2022 (growth of 759.5%), and the weakest in Q1 2024 (a decline of 55.8%).
- Business Quant data shows GPUS's Property, Plant & Equipment (Net) at $147.05 million (Q1 2026), $141.99 million (Q4 2025) and $131.65 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Net) (Qtr) |
|---|---|---|---|---|---|
| 1 | Coinbase Global | 48.27 Bn | 5.08 Bn | - | - |
| 2 | PayPal Holdings | 45.51 Bn | 3.74 Bn | - | 1.73 Bn |
| 3 | Block | 44.67 Bn | 15.93 Bn | 3.17 Bn | - |
| 4 | Iren | 31.78 Bn | 19.37 Bn | 103.89 Mn | 6.75 Bn |
| 5 | Corpay | 25.91 Bn | 16.11 Bn | - | 472.32 Mn |
| 6 | Fiserv | 23.59 Bn | 20.29 Bn | 2.90 Bn | 3.33 Bn |
| 7 | Global Payments | 20.83 Bn | -735.18 Mn | 2.03 Bn | 2.13 Bn |
| 8 | Bitmine Immersion Technologies | 15.23 Bn | 12.61 Bn | 40.81 Mn | - |
| 9 | Guidewire Software | 12.47 Bn | 9.03 Bn | 269.68 Mn | 67.80 Mn |
| 10 | Hyperscale Data | 80.79 Mn | -111.20 Mn | 8.80 Mn | 148.28 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 148.28 Mn |
| Mar 31, 2026 | 147.05 Mn |
| Dec 31, 2025 | 141.99 Mn |
| Sep 30, 2025 | 131.65 Mn |
| Jun 30, 2025 | 135.84 Mn |
| Mar 31, 2025 | 141.24 Mn |
| Dec 31, 2024 | 144.36 Mn |
| Sep 30, 2024 | 160.87 Mn |
| Jun 30, 2024 | 180.77 Mn |
| Mar 31, 2024 | 103.99 Mn |
| Dec 31, 2023 | 195.67 Mn |
| Sep 30, 2023 | 132.04 Mn |
| Jun 30, 2023 | 227.86 Mn |
| Mar 31, 2023 | 235.14 Mn |
| Dec 31, 2022 | 146.78 Mn |
| Sep 30, 2022 | 253.98 Mn |
| Jun 30, 2022 | 245.99 Mn |
| Mar 31, 2022 | 206.80 Mn |
| Dec 31, 2021 | 174.03 Mn |
| Sep 30, 2021 | 29.55 Mn |
API Access
Hyperscale Data Property, Plant & Equipment (Net) 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=property-plant-and-equipment-net&ticker=GPUS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "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=property-plant-and-equipment-net&ticker=GPUS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();