Hyperscale Data (GPUS) Other Accumulated Expenses (2010 - 2021)
Hyperscale Data's Other Accumulated Expenses came in at $53,000 for Q4 2021, up 47.2% from $36,000 a year earlier but down 98.5% from the prior quarter.
Analysis
Hyperscale Data (GPUS) Other Accumulated Expenses (2010 - 2021) Analysis & Trends
Going back to Q4 2010, Hyperscale Data's Other Accumulated Expenses data covers 43 quarters.
- Other Accumulated Expenses carries a five-year compound annual growth rate of -33.2% (FY2016 to FY2021).
- Going back by year, Other Accumulated Expenses was $36,000 in FY2020 (-97.7%), $1.54 million in FY2019 (-17.8%), $1.87 million in FY2018 (+163.8%) and $708,391 in FY2017 (+78.0%).
- The five-year range for quarterly Other Accumulated Expenses is $36,000 (Q4 2020) to $5.57 million (Q2 2021).
- Year-over-year, Other Accumulated Expenses increased in five of the last eight quarters, with growth averaging 35.5%.
- The fastest year-over-year change in Other Accumulated Expenses over five years came in Q3 2018 (growth of 444.4%), and the weakest in Q4 2020 (a decline of 97.7%).
- Business Quant data shows GPUS's Other Accumulated Expenses at $3.61 million (Q3 2021), $5.57 million (Q2 2021) and $1.84 million (Q1 2021) in the three quarters before Q4 2021.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Coinbase Global | 48.27 Bn | 5.08 Bn | - |
| 2 | PayPal Holdings | 45.51 Bn | 3.74 Bn | - |
| 3 | Block | 44.67 Bn | 15.93 Bn | 3.17 Bn |
| 4 | Iren | 31.78 Bn | 19.37 Bn | 103.89 Mn |
| 5 | Corpay | 25.91 Bn | 16.11 Bn | - |
| 6 | Fiserv | 23.59 Bn | 20.29 Bn | 2.90 Bn |
| 7 | Global Payments | 20.83 Bn | -735.18 Mn | 2.03 Bn |
| 8 | Bitmine Immersion Technologies | 15.23 Bn | 12.61 Bn | 40.81 Mn |
| 9 | Guidewire Software | 12.47 Bn | 9.03 Bn | 269.68 Mn |
| 10 | Hyperscale Data | 80.79 Mn | -111.20 Mn | 8.80 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2021 | 53,000.00 |
| Sep 30, 2021 | 3.61 Mn |
| Jun 30, 2021 | 5.57 Mn |
| Mar 31, 2021 | 1.84 Mn |
| Dec 31, 2020 | 36,000.00 |
| Sep 30, 2020 | 5.50 Mn |
| Jun 30, 2020 | 3.02 Mn |
| Mar 31, 2020 | 1.97 Mn |
| Dec 31, 2019 | 1.54 Mn |
| Sep 30, 2019 | 1.86 Mn |
| Jun 30, 2019 | 1.77 Mn |
| Mar 31, 2019 | 1.58 Mn |
| Dec 31, 2018 | 1.87 Mn |
| Sep 30, 2018 | 784,000.00 |
| Mar 31, 2018 | 727,000.00 |
| Dec 31, 2017 | 708,391.00 |
| Sep 30, 2017 | 144,000.00 |
| Jun 30, 2017 | 427,000.00 |
| Mar 31, 2017 | 448,000.00 |
| Dec 31, 2016 | 398,000.00 |
API Access
Hyperscale Data Other Accumulated 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=other-accumulated-expenses&ticker=GPUS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-accumulated-expenses", "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=other-accumulated-expenses&ticker=GPUS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();