Hyperscale Data (GPUS) Non-Current Debt (2016 - 2023)
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 - 2023) 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 | Coinbase Global | 50.59 Bn | 7.40 Bn | - | 5.94 Bn |
| 2 | PayPal Holdings | 46.79 Bn | 5.01 Bn | - | 10.90 Bn |
| 3 | Block | 44.05 Bn | 15.31 Bn | 3.17 Bn | 5.72 Bn |
| 4 | Iren | 31.74 Bn | 19.34 Bn | 103.89 Mn | 7.42 Bn |
| 5 | Corpay | 26.01 Bn | 16.21 Bn | - | 6.10 Bn |
| 6 | Fiserv | 24.47 Bn | 21.17 Bn | 2.90 Bn | 26.68 Bn |
| 7 | Global Payments | 22.51 Bn | 952.73 Mn | 2.03 Bn | 21.49 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 | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2023 | 18.16 Mn |
| Sep 30, 2023 | 21.21 Mn |
| Jun 30, 2023 | 87.56 Mn |
| Mar 31, 2023 | 91.87 Mn |
| Dec 31, 2022 | 29.83 Mn |
| Sep 30, 2022 | 58.31 Mn |
| Jun 30, 2022 | 55.55 Mn |
| Mar 31, 2022 | 54.00 Mn |
| Dec 31, 2021 | 55.06 Mn |
| Jun 30, 2021 | 103,000.00 |
| Mar 31, 2021 | 319,047.00 |
| Dec 31, 2020 | 336,000.00 |
| Sep 30, 2020 | 352,032.00 |
| Jun 30, 2020 | 369,185.00 |
| Mar 31, 2020 | 493,401.00 |
| Dec 31, 2019 | 482,624.00 |
| Sep 30, 2019 | 464,809.00 |
| Jun 30, 2019 | 451,447.00 |
| Mar 31, 2019 | 473,243.00 |
| Dec 31, 2018 | 483,659.00 |
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();