Hyperscale Data, Inc. (GPUS-PD) Total Debt (2016 - 2026)
Hyperscale Data's Total Debt came in at $95.24 million for Q2 2026, up 8.6% from $87.68 million a year earlier and up 7.3% from the prior quarter.
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Analysis
Hyperscale Data, Inc. (GPUS-PD) Total Debt (2016 - 2026) Analysis & Trends
At the end of FY2025, Hyperscale Data's Total Debt was $82.06 million, down 28.9% from FY2024.
- Total Debt carries a five-year compound annual growth rate of 83.6% (FY2020 to FY2025).
- Going back by year, Total Debt was $115.34 million in FY2024 (+209.8%), $37.23 million in FY2023, -$8.47 million in FY2022 and $94.61 million in FY2021.
- The Q2 2026 figure represents the highest quarterly Total Debt since Q4 2024.
- Year-over-year, Total Debt increased in two of the last four quarters, with growth averaging 44.5%.
- The fastest year-over-year change in Total Debt over five years came in Q4 2024 (growth of 209.8%), and the weakest in Q3 2021 (a decline of 83.3%).
- Business Quant data shows GPUS-PD's Total Debt at $88.77 million (Q1 2026), $82.06 million (Q4 2025) and $78.36 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 | 95.24 Mn |
| Mar 31, 2026 | 88.77 Mn |
| Dec 31, 2025 | 82.06 Mn |
| Sep 30, 2025 | 78.36 Mn |
| Jun 30, 2025 | 87.68 Mn |
| Mar 31, 2025 | -69.00 Mn |
| Dec 31, 2024 | 115.34 Mn |
| Sep 30, 2024 | -78.01 Mn |
| Jun 30, 2024 | 99.26 Mn |
| Mar 31, 2024 | -1.24 Mn |
| Dec 31, 2023 | 37.23 Mn |
| Sep 30, 2023 | -443,000.00 |
| Jun 30, 2023 | 137.32 Mn |
| Mar 31, 2023 | 122.20 Mn |
| Dec 31, 2022 | -8.47 Mn |
| Sep 30, 2022 | 76.91 Mn |
| Jun 30, 2022 | 50.09 Mn |
| Mar 31, 2022 | 55.31 Mn |
| Dec 31, 2021 | 94.61 Mn |
| Sep 30, 2021 | 1.70 Mn |
API Access
Hyperscale Data, Inc. Total Debt 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=total-debt&ticker=GPUS-PD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-debt", "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=total-debt&ticker=GPUS-PD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();