Hyperscale Data, Inc. (GPUS-PD) Long-Term Investments (2011 - 2023)
Hyperscale Data (GPUS-PD) reported Long-Term Investments of $1.17 million for Q1 2023, down 99.0% from $116.74 million a year earlier and down 84.7% from the prior quarter.
Hyperscale Data, Inc. (GPUS-PD) Long-Term Investments (2011 - 2023) Analysis & Trends
At the end of FY2022, Hyperscale Data posted Long-Term Investments of $7.59 million, down 93.5% from FY2021.
- Long-Term Investments has a five-year compound annual growth rate of 35.9% (FY2017 to FY2022).
- By year, Long-Term Investments came in at $116.73 million in FY2021, $750,000 in FY2020 (-9.9%), $832,500 in FY2019 (-67.6%) and $2.57 million in FY2018 (+57.1%).
- The Q1 2023 figure ranks as the lowest quarterly Long-Term Investments since Q2 2021.
- Year over year, Long-Term Investments gained in 1 of the last four quarters, with growth averaging 107.4%.
- The high point for year-over-year Long-Term Investments in five years was Q3 2021 (growth of 625.6%); the low point was Q1 2023 (a decline of 99.0%).
- Per Business Quant data, the three quarters before Q1 2023 came in at $7.59 million (Q4 2022), $117.42 million (Q3 2022) and $116.9 million (Q2 2022).
Peer Comparison
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2023 | 1.17 Mn |
| Dec 31, 2022 | 7.59 Mn |
| Sep 30, 2022 | 117.42 Mn |
| Jun 30, 2022 | 116.90 Mn |
| Mar 31, 2022 | 116.74 Mn |
| Dec 31, 2021 | 116.73 Mn |
| Sep 30, 2021 | 5.88 Mn |
| Jun 30, 2021 | 788,000.00 |
| Mar 31, 2021 | 3.47 Mn |
| Dec 31, 2020 | 750,000.00 |
| Sep 30, 2020 | 810,000.00 |
| Jun 30, 2020 | 817,500.00 |
| Mar 31, 2020 | 825,000.00 |
| Dec 31, 2019 | 832,500.00 |
| Mar 31, 2019 | 855,000.00 |
| Dec 31, 2018 | 2.57 Mn |
| Sep 30, 2018 | 2.14 Mn |
| Mar 31, 2018 | 2.01 Mn |
| Dec 31, 2017 | 1.64 Mn |
| Sep 30, 2017 | 679,000.00 |
Hyperscale Data, Inc. Long-Term Investments 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=long-term-investments&ticker=GPUS-PD&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-investments", "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=long-term-investments&ticker=GPUS-PD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();