Hyperscale Data (GPUS) Long-Term Debt Repayments (2017 - 2026)
Hyperscale Data (GPUS) posted Long-Term Debt Repayments of $30.21 million for Q2 2026, up 83.1% from $16.5 million a year earlier and up 111.7% from the prior quarter.
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Analysis
Hyperscale Data (GPUS) Long-Term Debt Repayments (2017 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Long-Term Debt Repayments at Hyperscale Data was $71.46 million, up 19.2% year-over-year; for FY2025, it came in at $57.27 million, down 4.8% from FY2024.
- Annual Long-Term Debt Repayments shows a five-year compound annual growth rate of 45.5% (FY2020 to FY2025).
- In prior years, Hyperscale Data's Long-Term Debt Repayments was $60.17 million in FY2024 (-48.3%), $116.35 million in FY2023 (+57.4%), $73.93 million in FY2022 and $2.46 million in FY2021 (-72.0%).
- The Q2 2026 figure stands as the highest quarterly Long-Term Debt Repayments since Q3 2023.
- On a year-over-year basis, Long-Term Debt Repayments increased in four of the last eight quarters, with an average decline of 5.6%.
- The strongest year-over-year quarter for Long-Term Debt Repayments in the past five years was Q3 2022, with growth of 391.0%; the weakest was Q2 2022, with a decline of 98.6%.
- According to Business Quant data, Long-Term Debt Repayments for the three prior quarters was $14.27 million (Q1 2026), $7.76 million (Q4 2025) and $19.22 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | PayPal Holdings | 50.08 Bn | 8.30 Bn | - | 744.00 Mn |
| 2 | Block | 46.71 Bn | 18.00 Bn | 3.17 Bn | 1.67 Bn |
| 3 | Coinbase Global | 45.00 Bn | 1.80 Bn | - | - |
| 4 | Corpay | 26.84 Bn | 16.72 Bn | - | 5.94 Bn |
| 5 | Fiserv | 25.68 Bn | 22.36 Bn | 2.90 Bn | 2.13 Bn |
| 6 | Global Payments | 22.94 Bn | 732.47 Mn | 2.03 Bn | 4.44 Bn |
| 7 | Guidewire Software | 15.52 Bn | 12.08 Bn | 269.68 Mn | - |
| 8 | Bitmine Immersion Technologies | 12.62 Bn | 10.00 Bn | 40.81 Mn | - |
| 9 | Chime Financial | 11.56 Bn | 7.35 Bn | 594.87 Mn | - |
| 10 | Hyperscale Data | 67.58 Mn | -130.73 Mn | 8.80 Mn | 30.13 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 30.13 Mn |
| Mar 31, 2026 | 13.94 Mn |
| Dec 31, 2025 | 10.48 Mn |
| Sep 30, 2025 | 22.51 Mn |
| Jun 30, 2025 | 16.45 Mn |
| Mar 31, 2025 | 14.04 Mn |
| Dec 31, 2024 | 9.64 Mn |
| Sep 30, 2024 | 18.48 Mn |
| Jun 30, 2024 | 13.93 Mn |
| Mar 31, 2024 | 17.79 Mn |
| Dec 31, 2023 | 20.73 Mn |
| Sep 30, 2023 | 62.06 Mn |
| Jun 30, 2023 | 14.61 Mn |
| Mar 31, 2023 | 19.81 Mn |
| Dec 31, 2022 | 6.23 Mn |
| Sep 30, 2022 | 1.70 Mn |
| Jun 30, 2022 | 13,000.00 |
| Mar 31, 2022 | 65.99 Mn |
| Dec 31, 2021 | 198,000.00 |
| Sep 30, 2021 | 346,000.00 |
API Access
Hyperscale Data Long-Term Debt Repayments 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=long-term-debt-repayments&ticker=GPUS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "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=long-term-debt-repayments&ticker=GPUS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();