Hyperscale Data, Inc. (GPUS-PD) Depreciation and Depletion (2010 - 2026)
Hyperscale Data's Depreciation and Depletion was $4.24 million in Q2 2026, down 10.0% from $4.71 million a year earlier and down 29.4% from the prior quarter.
Hyperscale Data, Inc. (GPUS-PD) Depreciation and Depletion (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Hyperscale Data's Depreciation and Depletion was $19.85 million through Jun 30, 2026, down 9.5% year-over-year; for FY2025, it was $19.4 million, down 18.4% from FY2024.
- Depreciation and Depletion shows a five-year compound annual growth rate of 117.3% (FY2020 to FY2025).
- In earlier years, Depreciation and Depletion was $23.78 million in FY2024 (-11.6%), $26.91 million in FY2023 (+93.1%), $13.94 million in FY2022 (+562.8%) and $2.1 million in FY2021 (+425.8%).
- The Q2 2026 figure marks the lowest quarterly Depreciation and Depletion since Q3 2022.
- Compared with a year earlier, Depreciation and Depletion was higher in two of the last eight quarters, with an average decline of 10.9%.
- The best year-over-year quarter for Depreciation and Depletion over five years was Q3 2022 (growth of 948.7%); the worst was Q3 2025 (a decline of 37.5%).
- Per Business Quant data, GPUS-PD's Depreciation and Depletion in the three quarters before Q2 2026 was $6 million (Q1 2026), $4.91 million (Q4 2025) and $4.71 million (Q3 2025).
Peer Comparison
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 4.24 Mn |
| Mar 31, 2026 | 6.00 Mn |
| Dec 31, 2025 | 4.91 Mn |
| Sep 30, 2025 | 4.71 Mn |
| Jun 30, 2025 | 4.71 Mn |
| Mar 31, 2025 | 5.08 Mn |
| Dec 31, 2024 | 4.61 Mn |
| Sep 30, 2024 | 7.53 Mn |
| Jun 30, 2024 | 6.06 Mn |
| Mar 31, 2024 | 5.58 Mn |
| Dec 31, 2023 | 5.09 Mn |
| Sep 30, 2023 | 9.89 Mn |
| Jun 30, 2023 | 7.97 Mn |
| Mar 31, 2023 | 5.07 Mn |
| Dec 31, 2022 | 6.20 Mn |
| Sep 30, 2022 | 2.78 Mn |
| Jun 30, 2022 | 3.73 Mn |
| Mar 31, 2022 | 2.60 Mn |
| Dec 31, 2021 | 1.39 Mn |
| Sep 30, 2021 | 265,000.00 |
Hyperscale Data, Inc. Depreciation and Depletion 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=depreciation-and-depletion&ticker=GPUS-PD&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-depletion", "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=depreciation-and-depletion&ticker=GPUS-PD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();