Hyperscale Data (GPUS) Capital Expenditures (2010 - 2026)
Hyperscale Data (GPUS) reported Capital Expenditures of $6.75 million for Q2 2026, compared with $397,000 a year earlier and down 36.1% from the prior quarter.
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Analysis
Hyperscale Data (GPUS) Capital Expenditures (2010 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Hyperscale Data's Capital Expenditures came in at $38.58 million, up 766.5% year-over-year; for FY2025, it was $24.54 million, up 408.3% from FY2024.
- Capital Expenditures has a five-year compound annual growth rate of 111.3% (FY2020 to FY2025).
- By year, Capital Expenditures came in at $4.83 million in FY2024 (-67.3%), $14.74 million in FY2023 (-85.2%), $99.31 million in FY2022 (-34.7%) and $151.99 million in FY2021.
- Five-year quarterly Capital Expenditures spans a low of $66,000 in Q4 2024 and a high of $123.85 million in Q4 2021.
- Year over year, Capital Expenditures gained in three of the last six quarters, with growth averaging 53.9%.
- The high point for year-over-year Capital Expenditures in five years was Q1 2022 (growth of 713.0%); the low point was Q4 2023 (a decline of 99.3%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $10.57 million (Q1 2026), $18.46 million (Q4 2025) and $2.81 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Capex (Qtr) |
|---|---|---|---|---|---|
| 1 | Coinbase Global | 50.59 Bn | 7.40 Bn | - | - |
| 2 | PayPal Holdings | 46.79 Bn | 5.01 Bn | - | 208.00 Mn |
| 3 | Block | 44.05 Bn | 15.31 Bn | 3.17 Bn | 53.21 Mn |
| 4 | Iren | 31.74 Bn | 19.34 Bn | 103.89 Mn | 1.33 Bn |
| 5 | Corpay | 26.01 Bn | 16.21 Bn | - | 54.44 Mn |
| 6 | Fiserv | 24.47 Bn | 21.17 Bn | 2.90 Bn | 498.00 Mn |
| 7 | Global Payments | 22.51 Bn | 952.73 Mn | 2.03 Bn | 235.66 Mn |
| 8 | Bitmine Immersion Technologies | 15.56 Bn | 12.94 Bn | 40.81 Mn | 30,000.00 |
| 9 | Guidewire Software | 11.90 Bn | 8.47 Bn | 269.68 Mn | 2.12 Mn |
| 10 | Hyperscale Data | 80.79 Mn | -111.20 Mn | 8.80 Mn | 6.75 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 6.75 Mn |
| Mar 31, 2026 | 10.57 Mn |
| Dec 31, 2025 | 18.46 Mn |
| Sep 30, 2025 | 2.81 Mn |
| Jun 30, 2025 | 397,000.00 |
| Mar 31, 2025 | 2.88 Mn |
| Dec 31, 2024 | 66,000.00 |
| Sep 30, 2024 | 1.11 Mn |
| Jun 30, 2024 | 2.23 Mn |
| Mar 31, 2024 | 1.42 Mn |
| Dec 31, 2023 | 135,000.00 |
| Sep 30, 2023 | 3.26 Mn |
| Jun 30, 2023 | 7.04 Mn |
| Mar 31, 2023 | 4.31 Mn |
| Dec 31, 2022 | 19.25 Mn |
| Sep 30, 2022 | 7.28 Mn |
| Jun 30, 2022 | 37.42 Mn |
| Mar 31, 2022 | 35.36 Mn |
| Dec 31, 2021 | 123.85 Mn |
| Sep 30, 2021 | 22.56 Mn |
API Access
Hyperscale Data Capital Expenditures 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=capital-expenditures&ticker=GPUS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "capital-expenditures", "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=capital-expenditures&ticker=GPUS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();