Hyperscale Data, Inc. (GPUS-PD) Change in Accured Expenses (2016 - 2026)
Hyperscale Data's Change in Accured Expenses came in at $1.34 million for Q2 2026, up 227.1% from $409,000 a year earlier but down 93.8% from the prior quarter.
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Analysis
Hyperscale Data, Inc. (GPUS-PD) Change in Accured Expenses (2016 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Hyperscale Data reported Change in Accured Expenses of $9.04 million, up 2.6% year-over-year; for FY2025, it came in at -$11.3 million.
- Going back by year, Change in Accured Expenses was $2.41 million in FY2024 (-84.5%), $15.57 million in FY2023 (+64.4%), $9.47 million in FY2022 (+480.7%) and $1.63 million in FY2021.
- The five-year range for quarterly Change in Accured Expenses is -$8.56 million (Q4 2025) to $21.62 million (Q1 2026).
- Year-over-year, Change in Accured Expenses increased in three of the last four quarters, with growth averaging 264.8%.
- The fastest year-over-year change in Change in Accured Expenses over five years came in Q1 2026 (growth of 881.0%), and the weakest in Q2 2025 (a decline of 89.2%).
- Business Quant data shows GPUS-PD's Change in Accured Expenses at $21.62 million (Q1 2026), -$8.56 million (Q4 2025) and -$5.35 million (Q3 2025) in the three quarters before Q2 2026.
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Peer Comparison
Historic Data
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Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.34 Mn |
| Mar 31, 2026 | 21.62 Mn |
| Dec 31, 2025 | -8.56 Mn |
| Sep 30, 2025 | -5.35 Mn |
| Jun 30, 2025 | 409,000.00 |
| Mar 31, 2025 | 2.20 Mn |
| Dec 31, 2024 | -1.06 Mn |
| Sep 30, 2024 | 7.26 Mn |
| Jun 30, 2024 | 3.78 Mn |
| Mar 31, 2024 | -7.58 Mn |
| Dec 31, 2023 | 2.23 Mn |
| Sep 30, 2023 | 5.19 Mn |
| Jun 30, 2023 | 11.95 Mn |
| Mar 31, 2023 | -3.80 Mn |
| Dec 31, 2022 | 1.94 Mn |
| Sep 30, 2022 | 2.82 Mn |
| Jun 30, 2022 | -255,000.00 |
| Mar 31, 2022 | 4.96 Mn |
| Dec 31, 2021 | 2.71 Mn |
| Sep 30, 2021 | -1.17 Mn |
API Access
Hyperscale Data, Inc. Change in Accured Expenses 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=change-in-accured-expenses&ticker=GPUS-PD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-expenses", "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=change-in-accured-expenses&ticker=GPUS-PD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();