Hyperscale Data, Inc. (GPUS-PD) Goodwill & Intangibles (2010 - 2026)
Hyperscale Data's Goodwill & Intangibles was $24.01 million in Q2 2026, compared with $1.65 million a year earlier and up 2.1% from the prior quarter.
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Analysis
Hyperscale Data, Inc. (GPUS-PD) Goodwill & Intangibles (2010 - 2026) Analysis & Trends
At the end of FY2025, Goodwill & Intangibles at Hyperscale Data came in at $24 million.
- Goodwill & Intangibles shows a five-year compound annual growth rate of 11.3% (FY2020 to FY2025).
- In earlier years, Goodwill & Intangibles was $2.14 million in FY2024 (-50.7%), $4.34 million in FY2023 (-93.1%), $62.69 million in FY2022 (+343.8%) and $14.13 million in FY2021 (+0.6%).
- The Q2 2026 figure marks the highest quarterly Goodwill & Intangibles since Q3 2023.
- The best year-over-year quarter for Goodwill & Intangibles over five years was Q3 2022 (growth of 401.9%); the worst was Q4 2023 (a decline of 93.1%).
- Per Business Quant data, GPUS-PD's Goodwill & Intangibles in the three quarters before Q2 2026 was $23.53 million (Q1 2026), $24 million (Q4 2025) and $1.59 million (Q3 2025).
Peer Set
Peer Comparison
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 24.01 Mn |
| Mar 31, 2026 | 23.53 Mn |
| Dec 31, 2025 | 24.00 Mn |
| Sep 30, 2025 | 1.59 Mn |
| Jun 30, 2025 | 1.65 Mn |
| Mar 31, 2025 | 1.72 Mn |
| Dec 31, 2024 | 2.14 Mn |
| Sep 30, 2024 | 3.98 Mn |
| Jun 30, 2024 | 11.24 Mn |
| Mar 31, 2024 | 11.49 Mn |
| Dec 31, 2023 | 4.34 Mn |
| Sep 30, 2023 | 25.95 Mn |
| Jun 30, 2023 | 26.45 Mn |
| Mar 31, 2023 | 62.35 Mn |
| Dec 31, 2022 | 62.69 Mn |
| Sep 30, 2022 | 68.64 Mn |
| Jun 30, 2022 | 63.41 Mn |
| Mar 31, 2022 | 13.84 Mn |
| Dec 31, 2021 | 14.13 Mn |
| Sep 30, 2021 | 13.68 Mn |
API Access
Hyperscale Data, Inc. Goodwill & Intangibles 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=goodwill-and-intangibles&ticker=GPUS-PD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "goodwill-and-intangibles", "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=goodwill-and-intangibles&ticker=GPUS-PD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();