Hyperscale Data (GPUS) Payables (2010 - 2026)
Hyperscale Data's Payables came in at $156.65 million for Q2 2026, up 11.7% from $140.29 million a year earlier and up 4.9% from the prior quarter.
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Analysis
Hyperscale Data (GPUS) Payables (2010 - 2026) Analysis & Trends
At the end of FY2025, Hyperscale Data's Payables was $121.26 million, down 21.9% from FY2024.
- Payables carries a five-year compound annual growth rate of 42.5% (FY2020 to FY2025).
- Going back by year, Payables was $155.24 million in FY2024 (+131.3%), $67.11 million in FY2023 (+222.6%), $20.81 million in FY2022 (-66.6%) and $62.31 million in FY2021 (+202.3%).
- The Q2 2026 figure represents the highest quarterly Payables since Q2 2024.
- Year-over-year, Payables increased in two of the last four quarters, with growth averaging 27.4%.
- The fastest year-over-year change in Payables over five years came in Q3 2022 (growth of 512.6%), and the weakest in Q4 2022 (a decline of 66.6%).
- Business Quant data shows GPUS's Payables at $149.37 million (Q1 2026), $121.26 million (Q4 2025) and $125.52 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Payables (Qtr) |
|---|---|---|---|---|---|
| 1 | Coinbase Global | 49.17 Bn | 5.98 Bn | - | 539.20 Mn |
| 2 | PayPal Holdings | 45.28 Bn | 3.51 Bn | - | 208.00 Mn |
| 3 | Block | 44.18 Bn | 15.44 Bn | 3.17 Bn | - |
| 4 | Iren | 31.11 Bn | 18.70 Bn | 103.89 Mn | 1.83 Bn |
| 5 | Corpay | 25.52 Bn | 15.72 Bn | - | 2.28 Bn |
| 6 | Fiserv | 24.03 Bn | 20.73 Bn | 2.90 Bn | 4.71 Bn |
| 7 | Global Payments | 21.72 Bn | 155.29 Mn | 2.03 Bn | 3.71 Bn |
| 8 | Bitmine Immersion Technologies | 15.32 Bn | 12.70 Bn | 40.81 Mn | 10.23 Mn |
| 9 | Guidewire Software | 11.69 Bn | 8.26 Bn | 269.68 Mn | 38.07 Mn |
| 10 | Hyperscale Data | 76.03 Mn | -115.95 Mn | 8.80 Mn | 156.65 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 156.65 Mn |
| Mar 31, 2026 | 149.37 Mn |
| Dec 31, 2025 | 121.26 Mn |
| Sep 30, 2025 | 125.52 Mn |
| Jun 30, 2025 | 140.29 Mn |
| Mar 31, 2025 | -39.37 Mn |
| Dec 31, 2024 | 155.24 Mn |
| Sep 30, 2024 | -29.26 Mn |
| Jun 30, 2024 | 158.45 Mn |
| Mar 31, 2024 | 49.39 Mn |
| Dec 31, 2023 | 67.11 Mn |
| Sep 30, 2023 | 57.96 Mn |
| Jun 30, 2023 | 127.57 Mn |
| Mar 31, 2023 | 90.53 Mn |
| Dec 31, 2022 | 20.81 Mn |
| Sep 30, 2022 | 67.74 Mn |
| Jun 30, 2022 | 36.19 Mn |
| Mar 31, 2022 | 28.55 Mn |
| Dec 31, 2021 | 62.31 Mn |
| Sep 30, 2021 | 11.06 Mn |
API Access
Hyperscale Data Payables 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=payables&ticker=GPUS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "payables", "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=payables&ticker=GPUS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();