Digi Power X (DGXX) Return on Equity [ROE] (2021 - 2026)
Digi Power X's Return on Equity [ROE] came in at -18.92% for Q2 2026, up 26245018.93 percentage points from -26245037.84% a year earlier and up 8.63 percentage points from the prior quarter.
Digi Power X (DGXX) Return on Equity [ROE] (2021 - 2026) Analysis & Trends
For FY2025, Digi Power X's Return on Equity [ROE] was -36.14%, up 23854432.09 percentage points from FY2024.
- Return on Equity [ROE] carries a four-year change of +12863856.65 percentage points (FY2021 to FY2025).
- Going back by year, Return on Equity [ROE] was -23854468.23% in FY2024 (+29603803.10 pp), -53458271.33% in FY2023 (-63592926.36 pp), 10134655.02% in FY2022 (+22998547.82 pp) and -12863892.80% in FY2021.
- The Q2 2026 figure represents the highest quarterly Return on Equity [ROE] since Q4 2022.
- Year-over-year, Return on Equity [ROE] has increased for seven consecutive quarters, with an average year-over-year change of +22260886.41 percentage points over the last eight quarters.
- The fastest year-over-year change in Return on Equity [ROE] over five years came in Q3 2025 (a gain of 60083299.12 percentage points), and the weakest in Q3 2024 (a drop of 79110237.49 percentage points).
- Business Quant data shows DGXX's Return on Equity [ROE] at -27.54% (Q1 2026), -34.77% (Q4 2025) and -19026997.46% (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROE (Qtr) |
|---|---|---|---|---|---|
| 1 | Microsoft | 3,809.31 Bn | 3,732.47 Bn | 60.48 Bn | 31.22% |
| 2 | International Business Machines | 207.26 Bn | 158.16 Bn | 9.91 Bn | 31.73% |
| 3 | Cloudflare | 111.87 Bn | 95.40 Bn | 499.52 Mn | -13.11% |
| 4 | Equinix | 99.81 Bn | 88.37 Bn | 1.40 Bn | 10.67% |
| 5 | Nebius | 59.68 Bn | 33.11 Bn | 448.70 Mn | 0.70% |
| 6 | CoreWeave | 48.00 Bn | 35.10 Bn | 1.70 Bn | -39.41% |
| 7 | Verisign | 25.49 Bn | 22.71 Bn | 384.60 Mn | - |
| 8 | Nutanix | 19.05 Bn | 10.74 Bn | 651.35 Mn | - |
| 9 | Akamai Technologies | 15.27 Bn | 8.68 Bn | 613.75 Mn | 8.51% |
| 10 | Digi Power X | 404.03 Mn | 133.40 Mn | -5.52 Mn | -18.92% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -18.92% |
| Mar 31, 2026 | -27.54% |
| Dec 31, 2025 | -34.77% |
| Sep 30, 2025 | -19,026,997.46% |
| Jun 30, 2025 | -26,245,037.84% |
| Mar 31, 2025 | -29,051,576.45% |
| Dec 31, 2024 | -27,529,893.29% |
| Sep 30, 2024 | -79,110,296.58% |
| Jun 30, 2024 | -71,438,612.21% |
| Mar 31, 2024 | -64,616,151.21% |
| Dec 31, 2023 | -61,059,347.45% |
| Sep 30, 2023 | -59.09% |
| Jun 30, 2023 | -61.03% |
| Mar 31, 2023 | -52.13% |
| Dec 31, 2022 | 24,306.14% |
| Sep 30, 2022 | 21,856.43% |
| Jun 30, 2022 | 17,897.78% |
| Mar 31, 2022 | 21,004.86% |
| Dec 31, 2021 | -5.27% |
Digi Power X Return on Equity [ROE] 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-equity-%5Broe%5D&ticker=DGXX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-equity-[roe]", "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-equity-%5Broe%5D&ticker=DGXX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();