Hyperscale Data, Inc. (GPUS-PD) Payables (2010 - 2026)
Hyperscale Data (GPUS-PD) reported Payables of $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, Inc. (GPUS-PD) Payables (2010 - 2026) Analysis & Trends
At the end of FY2025, Hyperscale Data posted Payables of $121.26 million, down 21.9% from FY2024.
- Payables has a five-year compound annual growth rate of 42.5% (FY2020 to FY2025).
- By year, Payables came in at $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 ranks as the highest quarterly Payables since Q2 2024.
- Year over year, Payables gained in two of the last four quarters, with growth averaging 27.4%.
- The high point for year-over-year Payables in five years was Q3 2022 (growth of 512.6%); the low point was Q4 2022 (a decline of 66.6%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $149.37 million (Q1 2026), $121.26 million (Q4 2025) and $125.52 million (Q3 2025).
Peer Set
Peer Comparison
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, Inc. 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-PD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=payables&ticker=GPUS-PD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();