Hyperscale Data (GPUS) Non-Current Assets (2010 - 2026)
Hyperscale Data's Non-Current Assets was $246.01 million in Q2 2026, up 62.4% from $151.49 million a year earlier and up 13.8% from the prior quarter.
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Analysis
Hyperscale Data (GPUS) Non-Current Assets (2010 - 2026) Analysis & Trends
At the end of FY2025, Non-Current Assets at Hyperscale Data came in at $184.01 million, up 13.3% from FY2024.
- Non-Current Assets shows a five-year compound annual growth rate of 34.8% (FY2020 to FY2025).
- In earlier years, Non-Current Assets was $162.35 million in FY2024, $4.51 million in FY2023 (-98.8%), $365.21 million in FY2022 (-4.1%) and $380.67 million in FY2021 (+822.0%).
- The Q2 2026 figure marks the highest quarterly Non-Current Assets since Q2 2023.
- Compared with a year earlier, Non-Current Assets has increased for three straight quarters, with growth averaging 16.4% over the last five quarters.
- The best year-over-year quarter for Non-Current Assets over five years was Q4 2021 (growth of 822.0%); the worst was Q2 2024 (a decline of 99.8%).
- Per Business Quant data, GPUS's Non-Current Assets in the three quarters before Q2 2026 was $216.26 million (Q1 2026), $184.01 million (Q4 2025) and $151.91 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Coinbase Global | 50.59 Bn | 7.40 Bn | - | 8.97 Bn |
| 2 | PayPal Holdings | 46.79 Bn | 5.01 Bn | - | 20.39 Bn |
| 3 | Block | 44.05 Bn | 15.31 Bn | 3.17 Bn | 16.01 Bn |
| 4 | Iren | 31.74 Bn | 19.34 Bn | 103.89 Mn | 7.90 Bn |
| 5 | Corpay | 26.01 Bn | 16.21 Bn | - | 11.74 Bn |
| 6 | Fiserv | 24.47 Bn | 21.17 Bn | 2.90 Bn | 55.52 Bn |
| 7 | Global Payments | 22.51 Bn | 952.73 Mn | 2.03 Bn | 51.90 Bn |
| 8 | Bitmine Immersion Technologies | 15.56 Bn | 12.94 Bn | 40.81 Mn | 11.18 Bn |
| 9 | Guidewire Software | 11.90 Bn | 8.47 Bn | 269.68 Mn | 1.39 Bn |
| 10 | Hyperscale Data | 80.79 Mn | -111.20 Mn | 8.80 Mn | 246.01 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 246.01 Mn |
| Mar 31, 2026 | 216.26 Mn |
| Dec 31, 2025 | 184.01 Mn |
| Sep 30, 2025 | 151.91 Mn |
| Jun 30, 2025 | 151.49 Mn |
| Mar 31, 2025 | 159.69 Mn |
| Dec 31, 2024 | 162.35 Mn |
| Sep 30, 2024 | 186.52 Mn |
| Jun 30, 2024 | 576,000.00 |
| Mar 31, 2024 | 4.37 Mn |
| Dec 31, 2023 | 4.51 Mn |
| Sep 30, 2023 | 209.12 Mn |
| Jun 30, 2023 | 301.53 Mn |
| Mar 31, 2023 | 340.28 Mn |
| Dec 31, 2022 | 365.21 Mn |
| Sep 30, 2022 | 510.83 Mn |
| Jun 30, 2022 | 489.66 Mn |
| Mar 31, 2022 | 433.04 Mn |
| Dec 31, 2021 | 380.67 Mn |
| Sep 30, 2021 | 111.75 Mn |
API Access
Hyperscale Data Non-Current Assets 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=non-current-assets&ticker=GPUS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-assets", "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=non-current-assets&ticker=GPUS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();