Digi Power X (DGXX) Return on Capital Employed [ROCE] (2022 - 2026)
Digi Power X's Return on Capital Employed [ROCE] was -15.24% in Q2 2026, up 74.25 percentage points from -89.49% a year earlier and up 5.43 percentage points from the prior quarter.
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Analysis
Digi Power X (DGXX) Return on Capital Employed [ROCE] (2022 - 2026) Analysis & Trends
For FY2025, Return on Capital Employed [ROCE] at Digi Power X came in at -34.81%, up 3.36 percentage points from FY2024.
- Return on Capital Employed [ROCE] shows a four-year change of -41.64 percentage points (FY2021 to FY2025).
- In earlier years, Return on Capital Employed [ROCE] was -38.16% in FY2024 (+9.09 pp), -47.26% in FY2023 (-2.49 pp), -44.76% in FY2022 (-51.60 pp) and 6.84% in FY2021.
- The Q2 2026 figure marks the highest quarterly Return on Capital Employed [ROCE] since Q1 2022.
- Compared with a year earlier, Return on Capital Employed [ROCE] has increased for three straight quarters, with an average year-over-year change of +7.49 percentage points over the last eight quarters.
- The best year-over-year quarter for Return on Capital Employed [ROCE] over five years was Q2 2026 (a gain of 74.25 percentage points); the worst was Q1 2023 (a drop of 71.73 percentage points).
- Per Business Quant data, DGXX's Return on Capital Employed [ROCE] in the three quarters before Q2 2026 was -20.66% (Q1 2026), -29.09% (Q4 2025) and -50.84% (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Microsoft | 3,890.86 Bn | 3,826.35 Bn | 62.56 Bn | 26.45% |
| 2 | International Business Machines | 233.55 Bn | 188.83 Bn | 9.71 Bn | 9.65% |
| 3 | Cloudflare | 109.18 Bn | 91.62 Bn | 557.23 Mn | -6.94% |
| 4 | Equinix | 104.31 Bn | 92.20 Bn | 1.31 Bn | 5.91% |
| 5 | CoreWeave | 29.43 Bn | 14.28 Bn | 2.48 Bn | -0.13% |
| 6 | Nebius | 29.32 Bn | 122.11 Mn | 761.10 Mn | -1.58% |
| 7 | Verisign | 28.11 Bn | 25.46 Bn | 393.20 Mn | 730.86% |
| 8 | Nutanix | 16.34 Bn | 8.02 Bn | 651.35 Mn | 10.69% |
| 9 | GoDaddy | 13.97 Bn | 9.35 Bn | 843.00 Mn | 27.83% |
| 10 | Digi Power X | 229.72 Mn | -129.88 Mn | -2.41 Mn | -12.15% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | -12.15% |
| Jun 30, 2026 | -15.24% |
| Mar 31, 2026 | -20.66% |
| Dec 31, 2025 | -29.09% |
| Sep 30, 2025 | -50.84% |
| Jun 30, 2025 | -89.49% |
| Mar 31, 2025 | -78.61% |
| Dec 31, 2024 | -59.80% |
| Sep 30, 2024 | -46.70% |
| Jun 30, 2024 | -40.34% |
| Mar 31, 2024 | -35.80% |
| Dec 31, 2023 | -51.10% |
| Sep 30, 2023 | -48.51% |
| Jun 30, 2023 | -43.22% |
| Mar 31, 2023 | -67.72% |
| Dec 31, 2022 | -52.72% |
| Sep 30, 2022 | -34.11% |
| Jun 30, 2022 | -29.20% |
| Mar 31, 2022 | 4.01% |
API Access
Digi Power X 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=DGXX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "ticker": "DGXX", "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=DGXX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();