Hyperscale Data, Inc. (GPUS-PD) Accounts Payables (2010 - 2026)
Hyperscale Data's Accounts Payables came in at $61.42 million for 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, Inc. (GPUS-PD) Accounts Payables (2010 - 2026) Analysis & Trends
At the end of FY2025, Hyperscale Data's Accounts Payables was $39.21 million, down 34.1% from FY2024.
- Accounts Payables carries a five-year compound annual growth rate of 18.2% (FY2020 to FY2025).
- Going back by year, 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 represents the highest quarterly Accounts Payables since Q2 2024.
- Year-over-year, Accounts Payables increased in three of the last eight quarters, with an average decline of 10.8%.
- The fastest year-over-year change in Accounts Payables over five years came in Q2 2022 (growth of 459.2%), and the weakest in Q4 2025 (a decline of 34.1%).
- Business Quant data shows GPUS-PD's Accounts Payables at $60.6 million (Q1 2026), $39.21 million (Q4 2025) and $47.16 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
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, Inc. 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-PD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accounts-payables", "ticker": "GPUS-PD", "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-PD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();