Hyperscale Data (GPUS) Total Current Liabilities (2010 - 2026)
Hyperscale Data (GPUS) reported Total Current Liabilities of $201.66 million for Q2 2026, up 0.1% from $201.37 million a year earlier and up 2.9% from the prior quarter.
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Analysis
Hyperscale Data (GPUS) Total Current Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, Hyperscale Data posted Total Current Liabilities of $170.37 million, down 20.9% from FY2024.
- Total Current Liabilities has a five-year compound annual growth rate of 50.8% (FY2020 to FY2025).
- By year, Total Current Liabilities came in at $215.5 million in FY2024 (+54.1%), $139.8 million in FY2023 (-38.0%), $225.33 million in FY2022 (+175.1%) and $81.92 million in FY2021 (+274.4%).
- The Q2 2026 figure ranks as the highest quarterly Total Current Liabilities since Q1 2025.
- Year over year, Total Current Liabilities gained in three of the last eight quarters, with growth averaging 1.5%.
- The high point for year-over-year Total Current Liabilities in five years was Q1 2023 (growth of 641.3%); the low point was Q1 2022 (a decline of 42.6%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $196.05 million (Q1 2026), $170.37 million (Q4 2025) and $179.84 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Coinbase Global | 50.59 Bn | 7.40 Bn | - | 7.22 Bn |
| 2 | PayPal Holdings | 46.79 Bn | 5.01 Bn | - | 48.41 Bn |
| 3 | Block | 44.05 Bn | 15.31 Bn | 3.17 Bn | 10.48 Bn |
| 4 | Iren | 31.74 Bn | 19.34 Bn | 103.89 Mn | 2.22 Bn |
| 5 | Corpay | 26.01 Bn | 16.21 Bn | - | 16.96 Bn |
| 6 | Fiserv | 24.47 Bn | 21.17 Bn | 2.90 Bn | 24.31 Bn |
| 7 | Global Payments | 22.51 Bn | 952.73 Mn | 2.03 Bn | 14.15 Bn |
| 8 | Bitmine Immersion Technologies | 15.56 Bn | 12.94 Bn | 40.81 Mn | 12.14 Mn |
| 9 | Guidewire Software | 11.90 Bn | 8.47 Bn | 269.68 Mn | 664.50 Mn |
| 10 | Hyperscale Data | 80.79 Mn | -111.20 Mn | 8.80 Mn | 201.66 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 201.66 Mn |
| Mar 31, 2026 | 196.05 Mn |
| Dec 31, 2025 | 170.37 Mn |
| Sep 30, 2025 | 179.84 Mn |
| Jun 30, 2025 | 201.37 Mn |
| Mar 31, 2025 | 207.94 Mn |
| Dec 31, 2024 | 215.50 Mn |
| Sep 30, 2024 | 196.44 Mn |
| Jun 30, 2024 | 209.61 Mn |
| Mar 31, 2024 | 198.24 Mn |
| Dec 31, 2023 | 139.80 Mn |
| Sep 30, 2023 | 214.41 Mn |
| Jun 30, 2023 | 146.83 Mn |
| Mar 31, 2023 | 224.56 Mn |
| Dec 31, 2022 | 225.33 Mn |
| Sep 30, 2022 | 74.41 Mn |
| Jun 30, 2022 | 55.23 Mn |
| Mar 31, 2022 | 30.29 Mn |
| Dec 31, 2021 | 81.92 Mn |
| Sep 30, 2021 | 20.03 Mn |
API Access
Hyperscale Data Total 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-current-liabilities&ticker=GPUS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-current-liabilities&ticker=GPUS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();