Hyperscale Data (GPUS) Work In Process (2012 - 2025)
Hyperscale Data's Work In Process was $808,000 in Q4 2025.
Analysis
Hyperscale Data (GPUS) Work In Process (2012 - 2025) Analysis & Trends
From Q4 2012 onward, Hyperscale Data has reported Work In Process for 25 quarters.
- Work In Process shows a five-year compound annual growth rate of -15.9% (FY2020 to FY2025).
- In earlier years, Work In Process was $1.58 million in FY2023 (-58.9%), $3.84 million in FY2022 (+246.5%) and $1.11 million in FY2021 (-42.4%).
- The Q4 2025 figure marks the highest quarterly Work In Process since Q4 2023.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Coinbase Global | 50.59 Bn | 7.40 Bn | - |
| 2 | PayPal Holdings | 46.79 Bn | 5.01 Bn | - |
| 3 | Block | 44.05 Bn | 15.31 Bn | 3.17 Bn |
| 4 | Iren | 31.74 Bn | 19.34 Bn | 103.89 Mn |
| 5 | Corpay | 26.01 Bn | 16.21 Bn | - |
| 6 | Fiserv | 24.47 Bn | 21.17 Bn | 2.90 Bn |
| 7 | Global Payments | 22.51 Bn | 952.73 Mn | 2.03 Bn |
| 8 | Bitmine Immersion Technologies | 15.56 Bn | 12.94 Bn | 40.81 Mn |
| 9 | Guidewire Software | 11.90 Bn | 8.47 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 | 808,000.00 |
| Dec 31, 2023 | 1.58 Mn |
| Dec 31, 2022 | 3.84 Mn |
| Dec 31, 2021 | 1.11 Mn |
| Dec 31, 2020 | 1.92 Mn |
| Dec 31, 2019 | 534,937.00 |
| Dec 31, 2018 | 483,706.00 |
| Dec 31, 2017 | 685,410.00 |
| Dec 31, 2016 | 238,000.00 |
| Sep 30, 2016 | 213,000.00 |
| Jun 30, 2016 | 224,000.00 |
| Mar 31, 2016 | 180,000.00 |
| Dec 31, 2015 | 191,000.00 |
| Sep 30, 2015 | 444,000.00 |
| Jun 30, 2015 | 254,000.00 |
| Mar 31, 2015 | 336,000.00 |
| Dec 31, 2014 | 357,000.00 |
| Sep 30, 2014 | 219,000.00 |
| Jun 30, 2014 | 283,000.00 |
| Mar 31, 2014 | 339,000.00 |
API Access
Hyperscale Data Work In Process 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=work-in-process&ticker=GPUS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "work-in-process", "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=work-in-process&ticker=GPUS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();