Hyperscale Data, Inc. (GPUS-PD) Other Accumulated Expenses (2010 - 2021)
Hyperscale Data (GPUS-PD) recorded Other Accumulated Expenses of $53,000 in Q4 2021, up 47.2% from $36,000 a year earlier but down 98.5% from the prior quarter.
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Analysis
Hyperscale Data, Inc. (GPUS-PD) Other Accumulated Expenses (2010 - 2021) Analysis & Trends
Starting with Q4 2010, Hyperscale Data's Other Accumulated Expenses history includes 43 quarters.
- Annual Other Accumulated Expenses has a five-year compound annual growth rate of -33.2% (FY2016 to FY2021).
- Across earlier years, Other Accumulated Expenses came in at $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%).
- Quarterly Other Accumulated Expenses has ranged from $36,000 in Q4 2020 to $5.57 million in Q2 2021 over the past five years.
- On a year-over-year basis, Other Accumulated Expenses rose in five of the last eight quarters, with growth averaging 35.5%.
- Peak year-over-year performance for Other Accumulated Expenses in the last five years was growth of 444.4% in Q3 2018, against a decline of 97.7% in Q4 2020 at the low end.
- Per Business Quant, the preceding three quarters came in at $3.61 million (Q3 2021), $5.57 million (Q2 2021) and $1.84 million (Q1 2021).
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Historic Data
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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, Inc. 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-PD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-accumulated-expenses", "ticker": "GPUS-PD", "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-PD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();