Hyperscale Data (GPUS) Accounts Payables (2010 - 2026)
Hyperscale Data's Accounts Payables was $61.42 million in Q2 2026, up 16.7% from $52.62 million a year earlier and up 1.3% from the prior quarter.
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Analysis
Hyperscale Data (GPUS) Accounts Payables (2010 - 2026) Analysis & Trends
At the end of FY2025, Accounts Payables at Hyperscale Data came in at $39.21 million, down 34.1% from FY2024.
- Accounts Payables shows a five-year compound annual growth rate of 18.2% (FY2020 to FY2025).
- In earlier years, Accounts Payables was $59.48 million in FY2024 (+7.3%), $55.42 million in FY2023 (-8.3%), $60.43 million in FY2022 (+165.6%) and $22.76 million in FY2021 (+33.7%).
- The Q2 2026 figure marks the highest quarterly Accounts Payables since Q2 2024.
- Compared with a year earlier, Accounts Payables was higher in three of the last eight quarters, with an average decline of 10.8%.
- The best year-over-year quarter for Accounts Payables over five years was Q2 2022 (growth of 459.2%); the worst was Q4 2025 (a decline of 34.1%).
- Per Business Quant data, GPUS's Accounts Payables in the three quarters before Q2 2026 was $60.6 million (Q1 2026), $39.21 million (Q4 2025) and $47.16 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Accounts Payables (Qtr) |
|---|---|---|---|---|---|
| 1 | Coinbase Global | 50.12 Bn | 6.93 Bn | - | - |
| 2 | PayPal Holdings | 46.45 Bn | 4.68 Bn | - | 208.00 Mn |
| 3 | Block | 44.49 Bn | 15.75 Bn | 3.17 Bn | - |
| 4 | Iren | 31.49 Bn | 19.08 Bn | 103.89 Mn | 1.83 Bn |
| 5 | Corpay | 25.78 Bn | 15.98 Bn | - | 2.28 Bn |
| 6 | Fiserv | 24.12 Bn | 20.82 Bn | 2.90 Bn | 4.71 Bn |
| 7 | Global Payments | 22.15 Bn | 588.57 Mn | 2.03 Bn | 3.71 Bn |
| 8 | Bitmine Immersion Technologies | 15.50 Bn | 12.88 Bn | 40.81 Mn | 10.23 Mn |
| 9 | Guidewire Software | 11.68 Bn | 8.25 Bn | 269.68 Mn | 38.07 Mn |
| 10 | Hyperscale Data | 76.03 Mn | -115.95 Mn | 8.80 Mn | 61.42 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 61.42 Mn |
| Mar 31, 2026 | 60.60 Mn |
| Dec 31, 2025 | 39.21 Mn |
| Sep 30, 2025 | 47.16 Mn |
| Jun 30, 2025 | 52.62 Mn |
| Mar 31, 2025 | 52.54 Mn |
| Dec 31, 2024 | 59.48 Mn |
| Sep 30, 2024 | 58.47 Mn |
| Jun 30, 2024 | 68.79 Mn |
| Mar 31, 2024 | 61.76 Mn |
| Dec 31, 2023 | 55.42 Mn |
| Sep 30, 2023 | 88.21 Mn |
| Jun 30, 2023 | 81.13 Mn |
| Mar 31, 2023 | 64.07 Mn |
| Dec 31, 2022 | 60.43 Mn |
| Sep 30, 2022 | 50.61 Mn |
| Jun 30, 2022 | 43.53 Mn |
| Mar 31, 2022 | 27.24 Mn |
| Dec 31, 2021 | 22.76 Mn |
| Sep 30, 2021 | 9.36 Mn |
API Access
Hyperscale Data Accounts 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=accounts-payables&ticker=GPUS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accounts-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=accounts-payables&ticker=GPUS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();