Powercompute (PWCM) Return on Capital Employed [ROCE] (2018 - 2026)
Powercompute's Return on Capital Employed [ROCE] came in at -140.92% for Q2 2026, down 118.98 percentage points from -21.93% a year earlier and down 49.16 percentage points from the prior quarter.
Powercompute (PWCM) Return on Capital Employed [ROCE] (2018 - 2026) Analysis & Trends
For FY2025, Powercompute's Return on Capital Employed [ROCE] was -82.42%, down 65.99 percentage points from FY2024.
- Return on Capital Employed [ROCE] carries a five-year change of -39.24 percentage points (FY2020 to FY2025).
- Going back by year, Return on Capital Employed [ROCE] was -16.43% in FY2024 (+7.16 pp), -23.59% in FY2023 (+20.92 pp), -44.51% in FY2022 (-21.17 pp) and -23.35% in FY2021 (+19.83 pp).
- The Q2 2026 figure represents the lowest quarterly Return on Capital Employed [ROCE] in data going back to Q4 2018.
- Year-over-year, Return on Capital Employed [ROCE] has declined for three consecutive quarters, with an average year-over-year change of -24.72 percentage points over the last eight quarters.
- The fastest year-over-year change in Return on Capital Employed [ROCE] over five years came in Q1 2024 (a gain of 26.10 percentage points), and the weakest in Q2 2026 (a drop of 118.98 percentage points).
- Business Quant data shows PWCM's Return on Capital Employed [ROCE] at -91.76% (Q1 2026), -63.89% (Q4 2025) and -18.51% (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | PayPal Holdings | 50.02 Bn | 8.25 Bn | - | 17.89% |
| 2 | Block | 46.03 Bn | 17.33 Bn | 3.17 Bn | 4.02% |
| 3 | Coinbase Global | 44.45 Bn | 1.25 Bn | - | 3.03% |
| 4 | Corpay | 26.94 Bn | 16.83 Bn | - | 20.94% |
| 5 | Fiserv | 26.79 Bn | 23.47 Bn | 2.90 Bn | 8.26% |
| 6 | Global Payments | 22.83 Bn | 620.45 Mn | 2.03 Bn | 2.55% |
| 7 | Guidewire Software | 15.96 Bn | 12.52 Bn | 269.68 Mn | 7.92% |
| 8 | Bitmine Immersion Technologies | 12.50 Bn | 9.88 Bn | 40.81 Mn | -82.57% |
| 9 | Jack Henry & Associates | 11.60 Bn | 11.50 Bn | 273.85 Mn | 24.98% |
| 10 | Powercompute | 554,956.69 | -2.96 Mn | 545,311.00 | -140.92% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -140.92% |
| Mar 31, 2026 | -91.76% |
| Dec 31, 2025 | -63.89% |
| Sep 30, 2025 | -18.51% |
| Jun 30, 2025 | -21.93% |
| Mar 31, 2025 | -31.70% |
| Dec 31, 2024 | -16.40% |
| Sep 30, 2024 | -27.23% |
| Jun 30, 2024 | -23.77% |
| Mar 31, 2024 | -19.38% |
| Dec 31, 2023 | -28.52% |
| Sep 30, 2023 | -45.63% |
| Jun 30, 2023 | -46.24% |
| Mar 31, 2023 | -45.48% |
| Dec 31, 2022 | -42.28% |
| Sep 30, 2022 | -29.41% |
| Jun 30, 2022 | -26.01% |
| Mar 31, 2022 | -19.27% |
| Dec 31, 2021 | -17.95% |
| Sep 30, 2021 | -13.38% |
Powercompute 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=PWCM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "ticker": "PWCM", "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=PWCM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();