Hyperscale Data (GPUS) Long-Term Investments (2011 - 2023)
Hyperscale Data (GPUS) recorded Long-Term Investments of $1.17 million in Q1 2023, down 99.0% from $116.74 million a year earlier and down 84.7% from the prior quarter.
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Analysis
Hyperscale Data (GPUS) Long-Term Investments (2011 - 2023) Analysis & Trends
At the end of FY2022, Hyperscale Data reported Long-Term Investments of $7.59 million, down 93.5% from FY2021.
- Annual Long-Term Investments has a five-year compound annual growth rate of 35.9% (FY2017 to FY2022).
- Across earlier years, 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 is the lowest quarterly Long-Term Investments since Q2 2021.
- On a year-over-year basis, Long-Term Investments rose in 1 of the last four quarters, with growth averaging 107.4%.
- Peak year-over-year performance for Long-Term Investments in the last five years was growth of 625.6% in Q3 2021, against a decline of 99.0% in Q1 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $7.59 million (Q4 2022), $117.42 million (Q3 2022) and $116.9 million (Q2 2022).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Long-Term Investments (Qtr) |
|---|---|---|---|---|---|
| 1 | Coinbase Global | 49.17 Bn | 5.98 Bn | - | 840.29 Mn |
| 2 | PayPal Holdings | 45.28 Bn | 3.51 Bn | - | 4.01 Bn |
| 3 | Block | 44.18 Bn | 15.44 Bn | 3.17 Bn | - |
| 4 | Iren | 31.11 Bn | 18.70 Bn | 103.89 Mn | - |
| 5 | Corpay | 25.52 Bn | 15.72 Bn | - | 576.18 Mn |
| 6 | Fiserv | 24.03 Bn | 20.73 Bn | 2.90 Bn | 1.03 Bn |
| 7 | Global Payments | 21.72 Bn | 155.29 Mn | 2.03 Bn | - |
| 8 | Bitmine Immersion Technologies | 15.32 Bn | 12.70 Bn | 40.81 Mn | 93.21 Mn |
| 9 | Guidewire Software | 11.69 Bn | 8.26 Bn | 269.68 Mn | 462.22 Mn |
| 10 | Hyperscale Data | 76.03 Mn | -115.95 Mn | 8.80 Mn | - |
Historic Data
Download Data
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 |
API Access
Hyperscale Data 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&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-investments", "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=long-term-investments&ticker=GPUS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();