Hyperscale Data (GPUS) Return on Assets [ROA] (2011 - 2026)
Hyperscale Data (GPUS) posted Return on Assets [ROA] of -27.24% for Q2 2026, up 52.59 percentage points from -79.84% a year earlier and up 1.48 percentage points from the prior quarter.
Hyperscale Data (GPUS) Return on Assets [ROA] (2011 - 2026) Analysis & Trends
For FY2025, Hyperscale Data's Return on Assets [ROA] came in at -24.53%, down 0.47 percentage points from FY2024.
- Annual Return on Assets [ROA] shows a five-year change of +25.16 percentage points (FY2020 to FY2025).
- In prior years, Hyperscale Data's Return on Assets [ROA] was -24.06% in FY2024 (+34.80 pp), -58.85% in FY2023 (-22.75 pp), -36.10% in FY2022 (-27.96 pp) and -8.14% in FY2021 (+41.55 pp).
- Quarterly Return on Assets [ROA] has run from a low of -188.35% in Q3 2024 to a high of -4.58% in Q3 2021 over five years.
- On a year-over-year basis, Return on Assets [ROA] has increased in each of the last seven quarters, with an average year-over-year change of +51.42 percentage points over the last eight quarters.
- The strongest year-over-year quarter for Return on Assets [ROA] in the past five years was Q3 2025, with a gain of 119.73 percentage points; the weakest was Q1 2024, with a drop of 127.14 percentage points.
- According to Business Quant data, Return on Assets [ROA] for the three prior quarters was -28.73% (Q1 2026), -23.57% (Q4 2025) and -68.62% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROA (Qtr) |
|---|---|---|---|---|---|
| 1 | PayPal Holdings | 50.08 Bn | 8.30 Bn | - | 6.00% |
| 2 | Block | 46.71 Bn | 18.00 Bn | 3.17 Bn | 0.90% |
| 3 | Coinbase Global | 45.00 Bn | 1.80 Bn | - | -3.57% |
| 4 | Corpay | 26.84 Bn | 16.72 Bn | - | 4.19% |
| 5 | Fiserv | 25.68 Bn | 22.36 Bn | 2.90 Bn | 3.49% |
| 6 | Global Payments | 22.94 Bn | 732.47 Mn | 2.03 Bn | -1.33% |
| 7 | Guidewire Software | 15.52 Bn | 12.08 Bn | 269.68 Mn | 5.45% |
| 8 | Bitmine Immersion Technologies | 12.62 Bn | 10.00 Bn | 40.81 Mn | -81.35% |
| 9 | Chime Financial | 11.56 Bn | 7.35 Bn | 594.87 Mn | -0.92% |
| 10 | Hyperscale Data | 67.58 Mn | -130.73 Mn | 8.80 Mn | 8.10% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 8.10% |
| Mar 31, 2026 | 9.20% |
| Dec 31, 2025 | -2.06% |
| Sep 30, 2025 | -68.62% |
| Jun 30, 2025 | -79.84% |
| Mar 31, 2025 | -88.58% |
| Dec 31, 2024 | -79.16% |
| Sep 30, 2024 | 133.33% |
| Jun 30, 2024 | 117.92% |
| Mar 31, 2024 | 104.04% |
| Dec 31, 2023 | 74.35% |
| Sep 30, 2023 | -70.85% |
| Jun 30, 2023 | -54.80% |
| Mar 31, 2023 | -38.57% |
| Dec 31, 2022 | -32.38% |
| Sep 30, 2022 | -13.18% |
| Jun 30, 2022 | -21.38% |
| Mar 31, 2022 | -11.47% |
| Dec 31, 2021 | -6.44% |
| Sep 30, 2021 | -4.58% |
Hyperscale Data Return on Assets [ROA] 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=return-on-assets-%5Broa%5D&ticker=GPUS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-assets-[roa]", "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=return-on-assets-%5Broa%5D&ticker=GPUS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();