Hyperscale Data, Inc. (GPUS-PD) Revenue (2010 - 2026)
Hyperscale Data (GPUS-PD) recorded Revenue of $34.84 million in Q2 2026, up 34.8% from $25.86 million a year earlier but down 21.0% from the prior quarter.
Hyperscale Data, Inc. (GPUS-PD) Revenue (2010 - 2026) Analysis & Trends
On a TTM basis, Hyperscale Data's Revenue came in at $130.16 million as of Jun 30, 2026, up 28.4% year-over-year; for FY2025, it was $102.11 million, down 4.3% from FY2024.
- Annual Revenue has a five-year compound annual growth rate of 33.7% (FY2020 to FY2025).
- Across earlier years, Revenue came in at $106.66 million in FY2024 (-20.9%), $134.85 million in FY2023 (+14.6%), $117.64 million in FY2022 (+124.5%) and $52.4 million in FY2021 (+119.5%).
- Quarterly Revenue has ranged from $7.82 million in Q4 2021 to $47.41 million in Q2 2023 over the past five years.
- On a year-over-year basis, Revenue has increased for three consecutive quarters, with growth averaging 9.2% over the last eight quarters.
- Peak year-over-year performance for Revenue in the last five years was growth of 442.5% in Q3 2021, against a decline of 72.0% in Q2 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at $44.08 million (Q1 2026), $26.91 million (Q4 2025) and $24.33 million (Q3 2025).
Peer Comparison
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 34.84 Mn |
| Mar 31, 2026 | 44.08 Mn |
| Dec 31, 2025 | 26.91 Mn |
| Sep 30, 2025 | 24.33 Mn |
| Jun 30, 2025 | 25.86 Mn |
| Mar 31, 2025 | 25.02 Mn |
| Dec 31, 2024 | 19.44 Mn |
| Sep 30, 2024 | 31.06 Mn |
| Jun 30, 2024 | 17.79 Mn |
| Mar 31, 2024 | 38.37 Mn |
| Dec 31, 2023 | 30.61 Mn |
| Sep 30, 2023 | 43.09 Mn |
| Jun 30, 2023 | 47.41 Mn |
| Mar 31, 2023 | 28.94 Mn |
| Dec 31, 2022 | 30.48 Mn |
| Sep 30, 2022 | 44.27 Mn |
| Jun 30, 2022 | 17.37 Mn |
| Mar 31, 2022 | 32.83 Mn |
| Dec 31, 2021 | 7.82 Mn |
| Sep 30, 2021 | 30.79 Mn |
Hyperscale Data, Inc. Revenue 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=revenue&ticker=GPUS-PD&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "revenue", "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=revenue&ticker=GPUS-PD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();