Hyperscale Data (GPUS) Short-Term Debt issuances (2017 - 2020)
Hyperscale Data's Short-Term Debt issuances was $570,000 in FY2020, down 57.3% from $1.34 million in FY2019.
Analysis
Hyperscale Data (GPUS) Short-Term Debt issuances (2017 - 2020) Analysis & Trends
From FY2016 onward, Hyperscale Data has reported Short-Term Debt issuances for 5 years.
- Short-Term Debt issuances shows a four-year compound annual growth rate of 22.9% (FY2016 to FY2020).
- The FY2020 figure marks the lowest annual Short-Term Debt issuances since FY2016.
- Per Business Quant data, Short-Term Debt issuances in earlier years was $1.34 million in FY2019 (+75.3%), $762,000 in FY2018 (-68.8%), $2.44 million in FY2017 (+875.6%) and $250,000 in FY2016.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ST Debt Issuance (Qtr) |
|---|---|---|---|---|---|
| 1 | PayPal Holdings | 50.38 Bn | 8.60 Bn | - | - |
| 2 | Block | 47.16 Bn | 18.46 Bn | 3.17 Bn | - |
| 3 | Coinbase Global | 44.38 Bn | 1.19 Bn | - | 257.39 Mn |
| 4 | Corpay | 27.22 Bn | 17.10 Bn | - | - |
| 5 | Fiserv | 26.96 Bn | 23.64 Bn | 2.90 Bn | - |
| 6 | Global Payments | 23.09 Bn | 884.97 Mn | 2.03 Bn | - |
| 7 | Guidewire Software | 15.87 Bn | 12.43 Bn | 269.68 Mn | - |
| 8 | Bitmine Immersion Technologies | 12.44 Bn | 9.82 Bn | 40.81 Mn | - |
| 9 | Jack Henry & Associates | 11.62 Bn | 11.52 Bn | 273.85 Mn | - |
| 10 | Hyperscale Data | 61.78 Mn | -136.52 Mn | 8.80 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2020 | 544,975.00 |
| Mar 31, 2019 | 47,000.00 |
| Dec 31, 2018 | 1,000.00 |
| Jun 30, 2018 | -1,000.00 |
| Mar 31, 2018 | 762,000.00 |
| Jun 30, 2017 | 215,000.00 |
API Access
Hyperscale Data Short-Term Debt issuances 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=short-term-debt-issuances&ticker=GPUS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "short-term-debt-issuances", "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=short-term-debt-issuances&ticker=GPUS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();