Hyperscale Data (GPUS) Depreciation & Amortization (CF) (2010 - 2026)
Hyperscale Data (GPUS) posted Depreciation & Amortization (CF) of $4.61 million for Q2 2026, down 3.4% from $4.78 million a year earlier and down 27.6% from the prior quarter.
Hyperscale Data (GPUS) Depreciation & Amortization (CF) (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Depreciation & Amortization (CF) at Hyperscale Data was $20.83 million, down 8.1% year-over-year; for FY2025, it came in at $19.82 million, down 18.9% from FY2024.
- Annual Depreciation & Amortization (CF) shows a five-year compound annual growth rate of 93.7% (FY2020 to FY2025).
- In prior years, Hyperscale Data's Depreciation & Amortization (CF) was $24.44 million in FY2024 (-12.6%), $27.95 million in FY2023 (+90.5%), $14.68 million in FY2022 (+324.4%) and $3.46 million in FY2021 (+375.4%).
- The Q2 2026 figure stands as the lowest quarterly Depreciation & Amortization (CF) since Q3 2022.
- On a year-over-year basis, Depreciation & Amortization (CF) increased in two of the last eight quarters, with an average decline of 7.4%.
- The strongest year-over-year quarter for Depreciation & Amortization (CF) in the past five years was Q1 2022, with growth of 958.9%; the weakest was Q3 2025, with a decline of 39.6%.
- According to Business Quant data, Depreciation & Amortization (CF) for the three prior quarters was $6.38 million (Q1 2026), $5.07 million (Q4 2025) and $4.77 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Amort. (Qtr) |
|---|---|---|---|---|---|
| 1 | Coinbase Global | 49.17 Bn | 5.98 Bn | - | 47.08 Mn |
| 2 | PayPal Holdings | 45.28 Bn | 3.51 Bn | - | 246.00 Mn |
| 3 | Block | 44.18 Bn | 15.44 Bn | 3.17 Bn | 95.05 Mn |
| 4 | Iren | 31.11 Bn | 18.70 Bn | 103.89 Mn | 112.08 Mn |
| 5 | Corpay | 25.52 Bn | 15.72 Bn | - | 36.72 Mn |
| 6 | Fiserv | 24.03 Bn | 20.73 Bn | 2.90 Bn | 542.00 Mn |
| 7 | Global Payments | 21.72 Bn | 155.29 Mn | 2.03 Bn | 126.47 Mn |
| 8 | Bitmine Immersion Technologies | 15.32 Bn | 12.70 Bn | 40.81 Mn | 383,000.00 |
| 9 | Guidewire Software | 11.69 Bn | 8.26 Bn | 269.68 Mn | 7.32 Mn |
| 10 | Hyperscale Data | 76.03 Mn | -115.95 Mn | 8.80 Mn | 4.61 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 4.61 Mn |
| Mar 31, 2026 | 6.38 Mn |
| Dec 31, 2025 | 5.07 Mn |
| Sep 30, 2025 | 4.77 Mn |
| Jun 30, 2025 | 4.78 Mn |
| Mar 31, 2025 | 5.20 Mn |
| Dec 31, 2024 | 4.78 Mn |
| Sep 30, 2024 | 7.91 Mn |
| Jun 30, 2024 | 6.11 Mn |
| Mar 31, 2024 | 5.64 Mn |
| Dec 31, 2023 | 5.57 Mn |
| Sep 30, 2023 | 8.00 Mn |
| Jun 30, 2023 | 9.06 Mn |
| Mar 31, 2023 | 5.33 Mn |
| Dec 31, 2022 | 6.38 Mn |
| Sep 30, 2022 | 1.68 Mn |
| Jun 30, 2022 | 3.80 Mn |
| Mar 31, 2022 | 2.82 Mn |
| Dec 31, 2021 | 1.75 Mn |
| Sep 30, 2021 | 620,000.00 |
Hyperscale Data Depreciation & Amortization (CF) 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-amortization-cf&ticker=GPUS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-amortization-cf", "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-amortization-cf&ticker=GPUS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();