Digi Power X (DGXX) EBITDA Margin (2022 - 2026)
Digi Power X's EBITDA Margin was -92.06% in Q2 2026, down 25.82 percentage points from -66.24% a year earlier and down 25.98 percentage points from the prior quarter.
Digi Power X (DGXX) EBITDA Margin (2022 - 2026) Analysis & Trends
On a trailing twelve-month basis, Digi Power X's EBITDA Margin was -96.13% through Jun 30, 2026, down 57.28 percentage points year-over-year; for FY2025, it was -56.59%, down 69.34 percentage points from FY2024.
- EBITDA Margin shows a four-year change of -80.66 percentage points (FY2021 to FY2025).
- In earlier years, EBITDA Margin was 12.74% in FY2024 (-56950514.09 pp), 56950526.84% in FY2023 (+12894762.73 pp), 44055764.11% in FY2022 (+44055740.05 pp) and 24.07% in FY2021.
- Quarterly EBITDA Margin has moved between -217.89% (Q4 2025) and 187555822.25% (Q4 2022) over five years.
- Compared with a year earlier, EBITDA Margin has declined for three straight quarters, with an average year-over-year change of -17242846.43 percentage points over the last eight quarters.
- The best year-over-year quarter for EBITDA Margin over five years was Q2 2023 (a gain of 166.30 percentage points); the worst was Q4 2024 (a drop of 137942422.81 percentage points).
- Per Business Quant data, DGXX's EBITDA Margin in the three quarters before Q2 2026 was -66.08% (Q1 2026), -217.89% (Q4 2025) and 4.87% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Microsoft | 3,809.31 Bn | 3,732.47 Bn | 60.48 Bn | 57.36% |
| 2 | International Business Machines | 207.26 Bn | 158.16 Bn | 9.91 Bn | 23.10% |
| 3 | Cloudflare | 111.87 Bn | 95.40 Bn | 499.52 Mn | -15.49% |
| 4 | Equinix | 99.81 Bn | 88.37 Bn | 1.40 Bn | 46.55% |
| 5 | Nebius | 59.68 Bn | 33.11 Bn | 448.70 Mn | 14.39% |
| 6 | CoreWeave | 48.00 Bn | 35.10 Bn | 1.70 Bn | 52.19% |
| 7 | Verisign | 25.49 Bn | 22.71 Bn | 384.60 Mn | 69.70% |
| 8 | Nutanix | 19.05 Bn | 10.74 Bn | 651.35 Mn | 11.50% |
| 9 | Akamai Technologies | 15.27 Bn | 8.68 Bn | 613.75 Mn | 24.17% |
| 10 | Digi Power X | 404.03 Mn | 133.40 Mn | -5.52 Mn | -92.06% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -92.06% |
| Mar 31, 2026 | -66.08% |
| Dec 31, 2025 | -217.89% |
| Sep 30, 2025 | 4.87% |
| Jun 30, 2025 | -66.24% |
| Mar 31, 2025 | -26.47% |
| Dec 31, 2024 | -61.18% |
| Sep 30, 2024 | -13.42% |
| Jun 30, 2024 | -5.36% |
| Mar 31, 2024 | 36.93% |
| Dec 31, 2023 | 137,942,361.62% |
| Sep 30, 2023 | 7.11% |
| Jun 30, 2023 | -12.95% |
| Mar 31, 2023 | -2.59% |
| Dec 31, 2022 | 187,555,822.25% |
| Sep 30, 2022 | 22.99% |
| Jun 30, 2022 | -179.25% |
| Mar 31, 2022 | 27.78% |
Digi Power X EBITDA Margin 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=ebitda-margin&ticker=DGXX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda-margin", "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=ebitda-margin&ticker=DGXX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();