Hyperscale Data (GPUS) Return on Capital Employed [ROCE] (2011 - 2026)
Hyperscale Data (GPUS) posted Return on Capital Employed [ROCE] of -65.26% for Q2 2026, up 277.41 percentage points from -342.67% a year earlier but down 1.27 percentage points from the prior quarter.
Hyperscale Data (GPUS) Return on Capital Employed [ROCE] (2011 - 2026) Analysis & Trends
For FY2025, Hyperscale Data's Return on Capital Employed [ROCE] came in at -64.28%, up 63.82 percentage points from FY2024.
- Annual Return on Capital Employed [ROCE] shows a five-year change of -48.12 percentage points (FY2020 to FY2025).
- In prior years, Hyperscale Data's Return on Capital Employed [ROCE] was -128.10% in FY2024 (-76.72 pp), -51.39% in FY2023 (-4.98 pp), -46.40% in FY2022 (-37.27 pp) and -9.13% in FY2021 (+7.04 pp).
- Quarterly Return on Capital Employed [ROCE] has run from a low of -571.96% in Q1 2025 to a high of -1.60% in Q3 2021 over five years.
- On a year-over-year basis, Return on Capital Employed [ROCE] has increased in each of the last four quarters, with an average year-over-year change of +22.63 percentage points over the last eight quarters.
- The strongest year-over-year quarter for Return on Capital Employed [ROCE] in the past five years was Q1 2026, with a gain of 507.98 percentage points; the weakest was Q4 2024, with a drop of 459.33 percentage points.
- According to Business Quant data, Return on Capital Employed [ROCE] for the three prior quarters was -63.99% (Q1 2026), -57.83% (Q4 2025) and -82.46% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Coinbase Global | 49.93 Bn | 6.74 Bn | - | 3.03% |
| 2 | PayPal Holdings | 45.74 Bn | 3.96 Bn | - | 17.89% |
| 3 | Block | 44.49 Bn | 15.75 Bn | 3.17 Bn | 4.02% |
| 4 | Iren | 30.93 Bn | 18.53 Bn | 103.89 Mn | -11.25% |
| 5 | Corpay | 25.61 Bn | 15.81 Bn | - | 20.94% |
| 6 | Fiserv | 24.13 Bn | 20.83 Bn | 2.90 Bn | 8.26% |
| 7 | Global Payments | 21.34 Bn | -222.16 Mn | 2.03 Bn | 2.55% |
| 8 | Bitmine Immersion Technologies | 15.51 Bn | 12.89 Bn | 40.81 Mn | -82.57% |
| 9 | Guidewire Software | 12.73 Bn | 9.30 Bn | 269.68 Mn | 7.92% |
| 10 | Hyperscale Data | 76.03 Mn | -115.95 Mn | 8.80 Mn | -65.26% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -65.26% |
| Mar 31, 2026 | -63.99% |
| Dec 31, 2025 | -57.83% |
| Sep 30, 2025 | -82.46% |
| Jun 30, 2025 | -342.67% |
| Mar 31, 2025 | -571.96% |
| Dec 31, 2024 | -536.14% |
| Sep 30, 2024 | -182.86% |
| Jun 30, 2024 | -126.56% |
| Mar 31, 2024 | -117.88% |
| Dec 31, 2023 | -76.81% |
| Sep 30, 2023 | -129.28% |
| Jun 30, 2023 | -64.98% |
| Mar 31, 2023 | -53.78% |
| Dec 31, 2022 | -39.08% |
| Sep 30, 2022 | -8.54% |
| Jun 30, 2022 | -17.53% |
| Mar 31, 2022 | -3.91% |
| Dec 31, 2021 | -6.65% |
| Sep 30, 2021 | -1.60% |
Hyperscale Data Return on Capital Employed [ROCE] 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-capital-employed-%5Broce%5D&ticker=GPUS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "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-capital-employed-%5Broce%5D&ticker=GPUS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();