Hyperscale Data (GPUS) Total Debt (2016 - 2026)
Hyperscale Data (GPUS) posted Total Debt of $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 (GPUS) Total Debt (2016 - 2026) Analysis & Trends
At the end of FY2025, Hyperscale Data's Total Debt came in at $82.06 million, down 28.9% from FY2024.
- Annual Total Debt shows a five-year compound annual growth rate of 83.6% (FY2020 to FY2025).
- In prior years, Hyperscale Data's 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 stands as the highest quarterly Total Debt since Q4 2024.
- On a year-over-year basis, Total Debt increased in two of the last four quarters, with growth averaging 44.5%.
- The strongest year-over-year quarter for Total Debt in the past five years was Q4 2024, with growth of 209.8%; the weakest was Q3 2021, with a decline of 83.3%.
- According to Business Quant data, Total Debt for the three prior quarters was $88.77 million (Q1 2026), $82.06 million (Q4 2025) and $78.36 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Coinbase Global | 50.59 Bn | 7.40 Bn | - | 6.48 Bn |
| 2 | PayPal Holdings | 46.79 Bn | 5.01 Bn | - | 13.40 Bn |
| 3 | Block | 44.05 Bn | 15.31 Bn | 3.17 Bn | 6.29 Bn |
| 4 | Iren | 31.74 Bn | 19.34 Bn | 103.89 Mn | 7.59 Bn |
| 5 | Corpay | 26.01 Bn | 16.21 Bn | - | 8.40 Bn |
| 6 | Fiserv | 24.47 Bn | 21.17 Bn | 2.90 Bn | 27.89 Bn |
| 7 | Global Payments | 22.51 Bn | 952.73 Mn | 2.03 Bn | 22.63 Bn |
| 8 | Bitmine Immersion Technologies | 15.56 Bn | 12.94 Bn | 40.81 Mn | - |
| 9 | Guidewire Software | 11.90 Bn | 8.47 Bn | 269.68 Mn | 678.09 Mn |
| 10 | Hyperscale Data | 80.79 Mn | -111.20 Mn | 8.80 Mn | 95.24 Mn |
Historic Data
Download Data
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 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&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-debt", "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=total-debt&ticker=GPUS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();