Hyperscale Data, Inc. (GPUS-PD) Capital Expenditures (2010 - 2026)
Hyperscale Data's Capital Expenditures came in at $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, Inc. (GPUS-PD) Capital Expenditures (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Hyperscale Data reported Capital Expenditures of $38.58 million, up 766.5% year-over-year; for FY2025, it came in at $24.54 million, up 408.3% from FY2024.
- Capital Expenditures carries a five-year compound annual growth rate of 111.3% (FY2020 to FY2025).
- Going back by year, Capital Expenditures was $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.
- The five-year range for quarterly Capital Expenditures is $66,000 (Q4 2024) to $123.85 million (Q4 2021).
- Year-over-year, Capital Expenditures increased in three of the last six quarters, with growth averaging 53.9%.
- The fastest year-over-year change in Capital Expenditures over five years came in Q1 2022 (growth of 713.0%), and the weakest in Q4 2023 (a decline of 99.3%).
- Business Quant data shows GPUS-PD's Capital Expenditures at $10.57 million (Q1 2026), $18.46 million (Q4 2025) and $2.81 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
Historic Data
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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, Inc. 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-PD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "capital-expenditures", "ticker": "GPUS-PD", "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-PD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();