Hyperscale Data (GPUS) Gains from Sales and Divestitures (2023 - 2025)
Hyperscale Data's Gains from Sales and Divestitures was -$511,000 in Q4 2025, compared with $15,000 a year earlier.
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Analysis
Hyperscale Data (GPUS) Gains from Sales and Divestitures (2023 - 2025) Analysis & Trends
For FY2025, Gains from Sales and Divestitures at Hyperscale Data came in at -$1.8 million.
- In earlier years, Gains from Sales and Divestitures was $79,000 in FY2024 (-96.2%) and $2.07 million in FY2023.
- Quarterly Gains from Sales and Divestitures has moved between -$1.75 million (Q2 2023) and $4.52 million (Q1 2023) over five years.
- Per Business Quant data, GPUS's Gains from Sales and Divestitures in the three quarters before Q4 2025 was -$732,000 (Q3 2025), -$398,000 (Q2 2025) and -$161,000 (Q1 2025).
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, 2025 | -511,000.00 |
| Sep 30, 2025 | -732,000.00 |
| Jun 30, 2025 | -398,000.00 |
| Mar 31, 2025 | -161,000.00 |
| Dec 31, 2024 | 15,000.00 |
| Sep 30, 2024 | 32,000.00 |
| Jun 30, 2024 | -36,000.00 |
| Mar 31, 2024 | 68,000.00 |
| Dec 31, 2023 | -659,000.00 |
| Sep 30, 2023 | -32,000.00 |
| Jun 30, 2023 | -1.75 Mn |
| Mar 31, 2023 | 4.52 Mn |
API Access
Hyperscale Data Gains from Sales and Divestitures 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=gains-from-sales-and-divestitures&ticker=GPUS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "gains-from-sales-and-divestitures", "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=gains-from-sales-and-divestitures&ticker=GPUS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();