Hyperscale Data (GPUS) Accumulated Expenses (2018 - 2025)
Hyperscale Data's Accumulated Expenses came in at $2.6 million for Q4 2025.
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Analysis
Hyperscale Data (GPUS) Accumulated Expenses (2018 - 2025) Analysis & Trends
Going back to Q1 2018, Hyperscale Data's Accumulated Expenses data covers 16 quarters.
- Accumulated Expenses carries a five-year compound annual growth rate of 13.0% (FY2020 to FY2025).
- Going back by year, Accumulated Expenses was $9.94 million in FY2022 (+97.7%) and $5.03 million in FY2021 (+256.0%).
- The Q4 2025 figure represents the highest quarterly Accumulated Expenses since Q1 2023.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Coinbase Global | 49.17 Bn | 5.98 Bn | - |
| 2 | PayPal Holdings | 45.28 Bn | 3.51 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 | - |
| 6 | Fiserv | 24.03 Bn | 20.73 Bn | 2.90 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 |
| 9 | Guidewire Software | 11.69 Bn | 8.26 Bn | 269.68 Mn |
| 10 | Hyperscale Data | 76.03 Mn | -115.95 Mn | 8.80 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 2.60 Mn |
| Mar 31, 2023 | 11.27 Mn |
| Dec 31, 2022 | 9.94 Mn |
| Sep 30, 2022 | 9.53 Mn |
| Jun 30, 2022 | 6.54 Mn |
| Dec 31, 2021 | 5.03 Mn |
| Dec 31, 2020 | 1.41 Mn |
| Sep 30, 2020 | 1.58 Mn |
| Jun 30, 2020 | 885,622.00 |
| Mar 31, 2020 | 809,455.00 |
| Dec 31, 2019 | 497,417.00 |
| Sep 30, 2019 | 497,417.00 |
| Jun 30, 2019 | 479,579.00 |
| Mar 31, 2019 | 651,462.00 |
| Dec 31, 2018 | 1.35 Mn |
| Mar 31, 2018 | 8,000.00 |
API Access
Hyperscale Data 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=accumulated-expenses&ticker=GPUS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=accumulated-expenses&ticker=GPUS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();