Hyperscale Data (GPUS) Depreciation and Depletion (2010 - 2026)
Hyperscale Data (GPUS) reported Depreciation and Depletion of $4.24 million for Q2 2026, down 10.0% from $4.71 million a year earlier and down 29.4% from the prior quarter.
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Analysis
Hyperscale Data (GPUS) Depreciation and Depletion (2010 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Hyperscale Data's Depreciation and Depletion came in at $19.85 million, down 9.5% year-over-year; for FY2025, it came in at $19.4 million, down 18.4% from FY2024.
- Depreciation and Depletion has a five-year compound annual growth rate of 117.3% (FY2020 to FY2025).
- By year, Depreciation and Depletion came in at $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 ranks as the lowest quarterly Depreciation and Depletion since Q3 2022.
- Year over year, Depreciation and Depletion gained in two of the last eight quarters, with an average decline of 10.9%.
- The high point for year-over-year Depreciation and Depletion in five years was Q3 2022 (growth of 948.7%); the low point was Q3 2025 (a decline of 37.5%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $6 million (Q1 2026), $4.91 million (Q4 2025) and $4.71 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Depletion (Qtr) |
|---|---|---|---|---|---|
| 1 | Coinbase Global | 49.93 Bn | 6.74 Bn | - | - |
| 2 | PayPal Holdings | 45.74 Bn | 3.96 Bn | - | - |
| 3 | Block | 44.49 Bn | 15.75 Bn | 3.17 Bn | - |
| 4 | Iren | 30.93 Bn | 18.53 Bn | 103.89 Mn | - |
| 5 | Corpay | 25.61 Bn | 15.81 Bn | - | 36.72 Mn |
| 6 | Fiserv | 24.13 Bn | 20.83 Bn | 2.90 Bn | - |
| 7 | Global Payments | 21.34 Bn | -222.16 Mn | 2.03 Bn | 126.47 Mn |
| 8 | Bitmine Immersion Technologies | 15.51 Bn | 12.89 Bn | 40.81 Mn | 383,000.00 |
| 9 | Guidewire Software | 12.73 Bn | 9.30 Bn | 269.68 Mn | - |
| 10 | Hyperscale Data | 76.03 Mn | -115.95 Mn | 8.80 Mn | 4.24 Mn |
Historic Data
Download Data
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 |
API Access
Hyperscale Data 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&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-depletion", "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=depreciation-and-depletion&ticker=GPUS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();