Digi Power X (DGXX) Return on Assets [ROA] (2022 - 2026)
Digi Power X's Return on Assets [ROA] came in at -13.26% for Q2 2026, up 47.70 percentage points from -60.96% a year earlier and up 5.77 percentage points from the prior quarter.
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Analysis
Digi Power X (DGXX) Return on Assets [ROA] (2022 - 2026) Analysis & Trends
For FY2025, Digi Power X's Return on Assets [ROA] was -31.57%, down 13.79 percentage points from FY2024.
- Return on Assets [ROA] carries a four-year change of -25.08 percentage points (FY2021 to FY2025).
- Going back by year, Return on Assets [ROA] was -17.78% in FY2024 (+28.42 pp), -46.20% in FY2023 (-52.73 pp), 6.53% in FY2022 (+13.02 pp) and -6.49% in FY2021.
- The Q2 2026 figure represents the highest quarterly Return on Assets [ROA] since Q4 2022.
- Year-over-year, Return on Assets [ROA] has increased for four consecutive quarters, with an average year-over-year change of +6.29 percentage points over the last eight quarters.
- The fastest year-over-year change in Return on Assets [ROA] over five years came in Q2 2026 (a gain of 47.70 percentage points), and the weakest in Q4 2023 (a drop of 21827.52 percentage points).
- Business Quant data shows DGXX's Return on Assets [ROA] at -19.03% (Q1 2026), -22.21% (Q4 2025) and -34.93% (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROA (Qtr) |
|---|---|---|---|---|---|
| 1 | Microsoft | 3,890.86 Bn | 3,826.35 Bn | 62.56 Bn | 18.55% |
| 2 | International Business Machines | 233.55 Bn | 188.83 Bn | 9.71 Bn | 7.27% |
| 3 | Cloudflare | 109.18 Bn | 91.62 Bn | 557.23 Mn | -3.37% |
| 4 | Equinix | 104.31 Bn | 92.20 Bn | 1.31 Bn | 3.85% |
| 5 | CoreWeave | 29.43 Bn | 14.28 Bn | 2.48 Bn | -2.91% |
| 6 | Nebius | 29.32 Bn | 122.11 Mn | 761.10 Mn | 0.43% |
| 7 | Verisign | 28.11 Bn | 25.46 Bn | 393.20 Mn | 55.13% |
| 8 | Nutanix | 16.34 Bn | 8.02 Bn | 651.35 Mn | 35.49% |
| 9 | GoDaddy | 13.97 Bn | 9.35 Bn | 843.00 Mn | 12.09% |
| 10 | Digi Power X | 229.72 Mn | -129.88 Mn | -2.41 Mn | -10.99% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | -10.99% |
| Jun 30, 2026 | -13.26% |
| Mar 31, 2026 | -19.03% |
| Dec 31, 2025 | -22.21% |
| Sep 30, 2025 | -34.93% |
| Jun 30, 2025 | -60.96% |
| Mar 31, 2025 | -58.00% |
| Dec 31, 2024 | -35.63% |
| Sep 30, 2024 | -39.62% |
| Jun 30, 2024 | -26.99% |
| Mar 31, 2024 | -19.09% |
| Dec 31, 2023 | -48.93% |
| Sep 30, 2023 | -44.73% |
| Jun 30, 2023 | -45.26% |
| Mar 31, 2023 | -42.92% |
| Dec 31, 2022 | 21,778.59% |
| Sep 30, 2022 | 18,983.36% |
| Jun 30, 2022 | 14,840.13% |
| Mar 31, 2022 | 13,958.36% |
API Access
Digi Power X Return on Assets [ROA] 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-assets-%5Broa%5D&ticker=DGXX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-assets-[roa]", "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-assets-%5Broa%5D&ticker=DGXX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();