Digi Power X (DGXX) Return on Capital Employed [ROCE] (2022 - 2026)
Digi Power X's Return on Capital Employed [ROCE] was -19.85% in Q2 2026, up 69.63 percentage points from -89.49% a year earlier and up 7.86 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 +4.72 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 69.63 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 -27.71% (Q1 2026), -39.55% (Q4 2025) and -50.84% (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Microsoft | 3,843.70 Bn | 3,766.85 Bn | 60.48 Bn | 27.85% |
| 2 | International Business Machines | 209.74 Bn | 160.64 Bn | 9.91 Bn | 9.40% |
| 3 | Cloudflare | 112.41 Bn | 95.94 Bn | 499.52 Mn | -9.60% |
| 4 | Equinix | 101.21 Bn | 89.76 Bn | 1.40 Bn | 5.75% |
| 5 | Nebius | 61.44 Bn | 34.87 Bn | 448.70 Mn | -2.94% |
| 6 | CoreWeave | 49.38 Bn | 36.47 Bn | 1.70 Bn | -0.51% |
| 7 | Verisign | 26.06 Bn | 23.28 Bn | 384.60 Mn | - |
| 8 | Nutanix | 19.56 Bn | 11.24 Bn | 651.35 Mn | 10.69% |
| 9 | Akamai Technologies | 15.64 Bn | 9.05 Bn | 613.75 Mn | 4.33% |
| 10 | Digi Power X | 378.41 Mn | 107.78 Mn | -5.52 Mn | -19.85% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -19.85% |
| Mar 31, 2026 | -27.71% |
| Dec 31, 2025 | -39.55% |
| 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();