Digi Power X (DGXX) Operating Margin (2022 - 2026)
Digi Power X (DGXX) recorded Operating Margin of -153.44% in Q2 2026, down 67.96 percentage points from -85.48% a year earlier and down 66.01 percentage points from the prior quarter.
Digi Power X (DGXX) Operating Margin (2022 - 2026) Analysis & Trends
On a TTM basis, Digi Power X's Operating Margin came in at -125.09% as of Jun 30, 2026, down 50.75 percentage points year-over-year; for FY2025, it came in at -76.93%, down 47.56 percentage points from FY2024.
- Annual Operating Margin has a four-year change of -88.65 percentage points (FY2021 to FY2025).
- Across earlier years, Operating Margin came in at -29.38% in FY2024 (+36.95 pp), -66.33% in FY2023 (+50.36 pp), -116.69% in FY2022 (-128.40 pp) and 11.71% in FY2021.
- Quarterly Operating Margin has ranged from -236.97% in Q4 2025 to 7.02% in Q1 2022 over the past five years.
- On a year-over-year basis, Operating Margin has declined for three consecutive quarters, with an average year-over-year change of -40.89 percentage points over the last eight quarters.
- Peak year-over-year performance for Operating Margin in the last five years was a gain of 148.78 percentage points in Q2 2023, against a drop of 107.76 percentage points in Q4 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at -87.43% (Q1 2026), -236.97% (Q4 2025) and -14.55% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Operating Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Microsoft | 3,895.54 Bn | 3,818.69 Bn | 60.48 Bn | 45.11% |
| 2 | International Business Machines | 238.91 Bn | 189.81 Bn | 9.91 Bn | 15.24% |
| 3 | Cloudflare | 105.03 Bn | 88.56 Bn | 499.52 Mn | -29.55% |
| 4 | Equinix | 94.23 Bn | 82.79 Bn | 1.40 Bn | 25.33% |
| 5 | Nebius | 40.16 Bn | 13.60 Bn | 448.70 Mn | -30.21% |
| 6 | CoreWeave | 29.89 Bn | 16.98 Bn | 1.70 Bn | -1.90% |
| 7 | Verisign | 26.97 Bn | 24.32 Bn | 393.20 Mn | 66.93% |
| 8 | Nutanix | 19.10 Bn | 10.78 Bn | 651.35 Mn | 9.24% |
| 9 | GoDaddy | 14.18 Bn | 9.76 Bn | 828.20 Mn | 26.39% |
| 10 | Digi Power X | 220.74 Mn | -49.89 Mn | -5.52 Mn | -153.44% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -153.44% |
| Mar 31, 2026 | -87.43% |
| Dec 31, 2025 | -259.51% |
| Sep 30, 2025 | -14.55% |
| Jun 30, 2025 | -85.48% |
| Mar 31, 2025 | -49.75% |
| Dec 31, 2024 | -129.21% |
| Sep 30, 2024 | -55.65% |
| Jun 30, 2024 | -48.02% |
| Mar 31, 2024 | 6.54% |
| Dec 31, 2023 | -65.59% |
| Sep 30, 2023 | -58.19% |
| Jun 30, 2023 | -66.12% |
| Mar 31, 2023 | -80.79% |
| Dec 31, 2022 | -189.55% |
| Sep 30, 2022 | -51.86% |
| Jun 30, 2022 | -214.90% |
| Mar 31, 2022 | 7.02% |
Digi Power X Operating 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=operating-margin&ticker=DGXX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-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=operating-margin&ticker=DGXX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();