Hyperscale Data (GPUS) Finished Goods (2012 - 2025)
Hyperscale Data's Finished Goods was $1.71 million in Q4 2025, up 13.1% from $1.51 million a year earlier.
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Analysis
Hyperscale Data (GPUS) Finished Goods (2012 - 2025) Analysis & Trends
From Q4 2012 onward, Hyperscale Data has reported Finished Goods for 26 quarters.
- Finished Goods shows a five-year compound annual growth rate of 45.5% (FY2020 to FY2025).
- In earlier years, Finished Goods was $1.51 million in FY2024 (+14.6%), $1.32 million in FY2023 (-91.0%), $14.55 million in FY2022 (+644.5%) and $1.95 million in FY2021 (+646.3%).
- The Q4 2025 figure marks the highest quarterly Finished Goods since Q4 2022.
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 | 1.71 Mn |
| Dec 31, 2024 | 1.51 Mn |
| Dec 31, 2023 | 1.32 Mn |
| Dec 31, 2022 | 14.55 Mn |
| Dec 31, 2021 | 1.95 Mn |
| Dec 31, 2020 | 261,809.00 |
| Dec 31, 2019 | 424,492.00 |
| Dec 31, 2018 | 750,581.00 |
| Dec 31, 2017 | 765,639.00 |
| Dec 31, 2016 | 613,000.00 |
| Sep 30, 2016 | 754,000.00 |
| Jun 30, 2016 | 692,000.00 |
| Mar 31, 2016 | 887,000.00 |
| Dec 31, 2015 | 1.02 Mn |
| Sep 30, 2015 | 1.07 Mn |
| Jun 30, 2015 | 1.20 Mn |
| Mar 31, 2015 | 1.12 Mn |
| Dec 31, 2014 | 1.01 Mn |
| Sep 30, 2014 | 1.33 Mn |
| Jun 30, 2014 | 940,000.00 |
API Access
Hyperscale Data Finished Goods 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=finished-goods&ticker=GPUS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "finished-goods", "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=finished-goods&ticker=GPUS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();