Digi Power X (DGXX) Return on Assets [ROA] (2022 - 2026)
Digi Power X's Return on Assets [ROA] came in at -17.87% for Q2 2026, up 19336138.31 percentage points from -19336156.17% a year earlier and up 7.69 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 -31.23%, up 17779814.00 percentage points from FY2024.
- Return on Assets [ROA] carries a four-year change of +6489471.30 percentage points (FY2021 to FY2025).
- Going back by year, Return on Assets [ROA] was -17779845.23% in FY2024 (+28417778.44 pp), -46197623.67% in FY2023 (-52726249.69 pp), 6528626.01% in FY2022 (+13018128.54 pp) and -6489502.53% 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 seven consecutive quarters, with an average year-over-year change of +17396887.92 percentage points over the last eight quarters.
- The fastest year-over-year change in Return on Assets [ROA] over five years came in Q3 2025 (a gain of 39516398.06 percentage points), and the weakest in Q3 2024 (a drop of 54866864.03 percentage points).
- Business Quant data shows DGXX's Return on Assets [ROA] at -25.55% (Q1 2026), -31.40% (Q4 2025) and -15350510.70% (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 | 3,843.70 Bn | 3,766.85 Bn | 60.48 Bn | 18.42% |
| 2 | International Business Machines | 209.74 Bn | 160.64 Bn | 9.91 Bn | 6.96% |
| 3 | Cloudflare | 112.41 Bn | 95.94 Bn | 499.52 Mn | -3.26% |
| 4 | Equinix | 101.21 Bn | 89.76 Bn | 1.40 Bn | 3.73% |
| 5 | Nebius | 61.44 Bn | 34.87 Bn | 448.70 Mn | 0.25% |
| 6 | CoreWeave | 49.38 Bn | 36.47 Bn | 1.70 Bn | -2.91% |
| 7 | Verisign | 26.06 Bn | 23.28 Bn | 384.60 Mn | 54.84% |
| 8 | Nutanix | 19.56 Bn | 11.24 Bn | 651.35 Mn | 35.49% |
| 9 | Akamai Technologies | 15.64 Bn | 9.05 Bn | 613.75 Mn | 3.08% |
| 10 | Digi Power X | 378.41 Mn | 107.78 Mn | -5.52 Mn | -17.87% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -17.87% |
| Mar 31, 2026 | -25.55% |
| Dec 31, 2025 | -31.40% |
| Sep 30, 2025 | -15,350,510.70% |
| Jun 30, 2025 | -19,336,156.17% |
| Mar 31, 2025 | -20,190,936.45% |
| Dec 31, 2024 | -18,640,792.51% |
| Sep 30, 2024 | -54,866,908.76% |
| Jun 30, 2024 | -53,121,951.79% |
| Mar 31, 2024 | -52,493,287.26% |
| Dec 31, 2023 | -48,910,405.12% |
| Sep 30, 2023 | -44.73% |
| Jun 30, 2023 | -45.26% |
| Mar 31, 2023 | -42.92% |
| Dec 31, 2022 | 21,778.59% |
| Sep 30, 2022 | 18,985.86% |
| Jun 30, 2022 | 14,840.28% |
| Mar 31, 2022 | 13,958.51% |
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();