Hyperscale Data (GPUS) Return on Equity [ROE] (2011 - 2026)
Hyperscale Data's Return on Equity [ROE] came in at -84.37% for Q2 2026, up 2264.34 percentage points from -2348.71% a year earlier but down 4.85 percentage points from the prior quarter.
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Analysis
Hyperscale Data (GPUS) Return on Equity [ROE] (2011 - 2026) Analysis & Trends
For FY2025, Hyperscale Data's Return on Equity [ROE] was -102.46%, up 110.38 percentage points from FY2024.
- Return on Equity [ROE] carries a five-year change of +2.44 percentage points (FY2020 to FY2025).
- Going back by year, Return on Equity [ROE] was -212.84% in FY2024 (-32.36 pp), -180.48% in FY2023 (-96.56 pp), -83.91% in FY2022 (-67.32 pp) and -16.60% in FY2021 (+88.30 pp).
- The five-year range for quarterly Return on Equity [ROE] is -9259.42% (Q4 2024) to -5.14% (Q3 2021).
- Year-over-year, Return on Equity [ROE] has increased for four consecutive quarters, with an average year-over-year change of +245.91 percentage points over the last eight quarters.
- The fastest year-over-year change in Return on Equity [ROE] over five years came in Q4 2025 (a gain of 9188.02 percentage points), and the weakest in Q4 2024 (a drop of 8651.42 percentage points).
- Business Quant data shows GPUS's Return on Equity [ROE] at -79.52% (Q1 2026), -71.41% (Q4 2025) and -476.68% (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROE (Qtr) |
|---|---|---|---|---|---|
| 1 | PayPal Holdings | 49.59 Bn | 7.82 Bn | - | 24.61% |
| 2 | Block | 47.46 Bn | 18.72 Bn | 3.17 Bn | 1.63% |
| 3 | Coinbase Global | 44.60 Bn | 1.41 Bn | - | -7.44% |
| 4 | Corpay | 27.24 Bn | 17.44 Bn | - | 32.18% |
| 5 | Fiserv | 27.02 Bn | 23.72 Bn | 2.90 Bn | 10.59% |
| 6 | Global Payments | 22.82 Bn | 1.26 Bn | 2.03 Bn | -3.54% |
| 7 | Iren | 19.41 Bn | 7.01 Bn | 103.89 Mn | -20.51% |
| 8 | Guidewire Software | 15.55 Bn | 12.12 Bn | 269.68 Mn | 11.09% |
| 9 | Bitmine Immersion Technologies | 13.04 Bn | 10.42 Bn | 40.81 Mn | -81.60% |
| 10 | Hyperscale Data | 61.78 Mn | -130.20 Mn | 8.80 Mn | 25.07% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 25.07% |
| Mar 31, 2026 | 25.46% |
| Dec 31, 2025 | -6.25% |
| Sep 30, 2025 | -476.68% |
| Jun 30, 2025 | -2,348.71% |
| Mar 31, 2025 | -4,382.18% |
| Dec 31, 2024 | -8,258.09% |
| Sep 30, 2024 | 2,347.57% |
| Jun 30, 2024 | 736.91% |
| Mar 31, 2024 | 512.09% |
| Dec 31, 2023 | 286.69% |
| Sep 30, 2023 | -222.92% |
| Jun 30, 2023 | -159.08% |
| Mar 31, 2023 | -101.31% |
| Dec 31, 2022 | -67.47% |
| Sep 30, 2022 | -23.26% |
| Jun 30, 2022 | -36.46% |
| Mar 31, 2022 | -21.56% |
| Dec 31, 2021 | -10.73% |
| Sep 30, 2021 | -5.14% |
API Access
Hyperscale Data Return on Equity [ROE] 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-equity-%5Broe%5D&ticker=GPUS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-equity-[roe]", "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-equity-%5Broe%5D&ticker=GPUS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();