Hyperscale Data (GPUS) Non-Current Debt (2016 - 2026)
Hyperscale Data (GPUS) posted Non-Current Debt of $500,000 for FY2019, down 95.7% from $11.55 million in FY2018.
Analysis
Hyperscale Data (GPUS) Non-Current Debt (2016 - 2026) Analysis & Trends
- Business Quant data shows GPUS's Non-Current Debt at $11.55 million in FY2018 (+295.8%) and $2.92 million in FY2017.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | PayPal Holdings | 50.08 Bn | 8.30 Bn | - | 10.90 Bn |
| 2 | Block | 46.71 Bn | 18.00 Bn | 3.17 Bn | 6.31 Bn |
| 3 | Coinbase Global | 45.00 Bn | 1.80 Bn | - | 5.94 Bn |
| 4 | Corpay | 26.84 Bn | 16.72 Bn | - | 6.10 Bn |
| 5 | Fiserv | 25.68 Bn | 22.36 Bn | 2.90 Bn | 26.68 Bn |
| 6 | Global Payments | 22.94 Bn | 732.47 Mn | 2.03 Bn | 21.49 Bn |
| 7 | Guidewire Software | 15.52 Bn | 12.08 Bn | 269.68 Mn | 678.09 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 | 50.00 Mn |
| 10 | Hyperscale Data | 67.58 Mn | -130.73 Mn | 8.80 Mn | 105.93 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 105.93 Mn |
| Mar 31, 2026 | 91.22 Mn |
| Dec 31, 2025 | 83.12 Mn |
| Sep 30, 2025 | 80.04 Mn |
| Jun 30, 2025 | 88.51 Mn |
| Mar 31, 2025 | 92.79 Mn |
| Dec 31, 2024 | 96.67 Mn |
| Sep 30, 2024 | 104.80 Mn |
| Jun 30, 2024 | 106.84 Mn |
| Mar 31, 2024 | 30.01 Mn |
| Dec 31, 2023 | 97.57 Mn |
| Sep 30, 2023 | 76.30 Mn |
| Jun 30, 2023 | 225.36 Mn |
| Mar 31, 2023 | 213.66 Mn |
| Dec 31, 2022 | 111.61 Mn |
| Sep 30, 2022 | 135.53 Mn |
| Jun 30, 2022 | 119.48 Mn |
| Mar 31, 2022 | 54.00 Mn |
| Dec 31, 2021 | 177.16 Mn |
| Sep 30, 2021 | 1.70 Mn |
API Access
Hyperscale Data Non-Current 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=non-current-debt&ticker=GPUS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-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=non-current-debt&ticker=GPUS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();