Hyperscale Data (GPUS) Total Non-Current Liabilities (2019 - 2026)
Hyperscale Data (GPUS) reported Total Non-Current Liabilities of $241.33 million for Q2 2026, up 13.3% from the prior quarter.
Analysis
Hyperscale Data (GPUS) Total Non-Current Liabilities (2019 - 2026) Analysis & Trends
At the end of FY2025, Hyperscale Data posted Total Non-Current Liabilities of $184.48 million.
- Total Non-Current Liabilities has a five-year compound annual growth rate of 52.6% (FY2020 to FY2025).
- By year, Total Non-Current Liabilities came in at $3.93 million in FY2023 (-98.8%) and $335.21 million in FY2022.
- The Q2 2026 figure ranks as the highest quarterly Total Non-Current Liabilities since Q3 2023.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Coinbase Global | 50.59 Bn | 7.40 Bn | - | 13.16 Bn |
| 2 | PayPal Holdings | 46.79 Bn | 5.01 Bn | - | 59.30 Bn |
| 3 | Block | 44.05 Bn | 15.31 Bn | 3.17 Bn | 16.75 Bn |
| 4 | Iren | 31.74 Bn | 19.34 Bn | 103.89 Mn | 9.38 Bn |
| 5 | Corpay | 26.01 Bn | 16.21 Bn | - | 7.36 Bn |
| 6 | Fiserv | 24.47 Bn | 21.17 Bn | 2.90 Bn | 52.84 Bn |
| 7 | Global Payments | 22.51 Bn | 952.73 Mn | 2.03 Bn | 38.75 Bn |
| 8 | Bitmine Immersion Technologies | 15.56 Bn | 12.94 Bn | 40.81 Mn | 15.44 Mn |
| 9 | Guidewire Software | 11.90 Bn | 8.47 Bn | 269.68 Mn | 1.37 Bn |
| 10 | Hyperscale Data | 80.79 Mn | -111.20 Mn | 8.80 Mn | 241.33 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 241.33 Mn |
| Mar 31, 2026 | 212.97 Mn |
| Dec 31, 2025 | 184.48 Mn |
| Jun 30, 2024 | 4.14 Mn |
| Mar 31, 2024 | 4.03 Mn |
| Dec 31, 2023 | 3.93 Mn |
| Sep 30, 2023 | 258.87 Mn |
| Jun 30, 2023 | 256.57 Mn |
| Dec 31, 2022 | 335.21 Mn |
| Sep 30, 2021 | 20.42 Mn |
| Jun 30, 2021 | 23.13 Mn |
| Mar 31, 2021 | 52.69 Mn |
| Dec 31, 2020 | 22.32 Mn |
| Dec 31, 2019 | 35.79 Mn |
API Access
Hyperscale Data Total Non-Current Liabilities 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=total-non-current-liabilities&ticker=GPUS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "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=total-non-current-liabilities&ticker=GPUS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();