Hyperscale Data, Inc. (GPUS-PD) Interest Expenses (2012 - 2026)
Hyperscale Data (GPUS-PD) posted Interest Expenses of $3.94 million for Q2 2026, down 48.6% from $7.66 million a year earlier and down 39.8% from the prior quarter.
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Analysis
Hyperscale Data, Inc. (GPUS-PD) Interest Expenses (2012 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Interest Expenses at Hyperscale Data was $15.11 million, down 28.4% year-over-year; for FY2025, it was $16.12 million, down 22.0% from FY2024.
- Annual Interest Expenses shows a five-year compound annual growth rate of 10.8% (FY2020 to FY2025).
- In prior years, Hyperscale Data's Interest Expenses was $20.66 million in FY2024 (-53.4%), $44.31 million in FY2023 (+18.7%), $37.34 million in FY2022 and $1.87 million in FY2021 (-80.6%).
- Quarterly Interest Expenses has run from a low of $140,000 in Q3 2021 to a high of $29.82 million in Q1 2022 over five years.
- On a year-over-year basis, Interest Expenses increased in three of the last eight quarters, with an average decline of 11.9%.
- The strongest year-over-year quarter for Interest Expenses in the past five years was Q2 2023, with growth of 684.2%; the weakest was Q3 2021, with a decline of 94.1%.
- According to Business Quant data, Interest Expenses for the three prior quarters was $6.55 million (Q1 2026), $1.55 million (Q4 2025) and $3.06 million (Q3 2025).
Peer Set
Peer Comparison
Historic Data
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Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.94 Mn |
| Mar 31, 2026 | 6.55 Mn |
| Dec 31, 2025 | 1.55 Mn |
| Sep 30, 2025 | 3.06 Mn |
| Jun 30, 2025 | 7.66 Mn |
| Mar 31, 2025 | 3.84 Mn |
| Dec 31, 2024 | 1.84 Mn |
| Sep 30, 2024 | 7.77 Mn |
| Jun 30, 2024 | 5.32 Mn |
| Mar 31, 2024 | 5.63 Mn |
| Dec 31, 2023 | 9.13 Mn |
| Sep 30, 2023 | 6.14 Mn |
| Jun 30, 2023 | 15.93 Mn |
| Mar 31, 2023 | 12.10 Mn |
| Dec 31, 2022 | 5.28 Mn |
| Sep 30, 2022 | 2.37 Mn |
| Jun 30, 2022 | 2.03 Mn |
| Mar 31, 2022 | 29.82 Mn |
| Dec 31, 2021 | 1.40 Mn |
| Sep 30, 2021 | 140,000.00 |
API Access
Hyperscale Data, Inc. Interest Expenses 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=interest-expenses&ticker=GPUS-PD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-expenses", "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=interest-expenses&ticker=GPUS-PD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();