Digi Power X (DGXX) Return on Sales [ROS] (2022 - 2026)
Digi Power X's Return on Sales [ROS] was -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.
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Analysis
Digi Power X (DGXX) Return on Sales [ROS] (2022 - 2026) Analysis & Trends
On a trailing twelve-month basis, Digi Power X's Return on Sales [ROS] was -125.09% through 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.
- Return on Sales [ROS] shows a four-year change of -88.65 percentage points (FY2021 to FY2025).
- In earlier years, Return on Sales [ROS] was -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 Return on Sales [ROS] has moved between -236.97% (Q4 2025) and 7.02% (Q1 2022) over five years.
- Compared with a year earlier, Return on Sales [ROS] has declined for three straight quarters, with an average year-over-year change of -40.89 percentage points over the last eight quarters.
- The best year-over-year quarter for Return on Sales [ROS] over five years was Q2 2023 (a gain of 148.78 percentage points); the worst was Q4 2025 (a drop of 107.76 percentage points).
- Per Business Quant data, DGXX's Return on Sales [ROS] in the three quarters before Q2 2026 was -87.43% (Q1 2026), -236.97% (Q4 2025) and -14.55% (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Microsoft | 3,843.70 Bn | 3,766.85 Bn | 60.48 Bn | 45.11% |
| 2 | International Business Machines | 209.74 Bn | 160.64 Bn | 9.91 Bn | 15.24% |
| 3 | Cloudflare | 112.41 Bn | 95.94 Bn | 499.52 Mn | -29.55% |
| 4 | Equinix | 101.21 Bn | 89.76 Bn | 1.40 Bn | 25.33% |
| 5 | Nebius | 61.44 Bn | 34.87 Bn | 448.70 Mn | -30.21% |
| 6 | CoreWeave | 49.38 Bn | 36.47 Bn | 1.70 Bn | -1.90% |
| 7 | Verisign | 26.06 Bn | 23.28 Bn | 384.60 Mn | 68.18% |
| 8 | Nutanix | 19.56 Bn | 11.24 Bn | 651.35 Mn | 9.24% |
| 9 | Akamai Technologies | 15.64 Bn | 9.05 Bn | 613.75 Mn | 7.30% |
| 10 | Digi Power X | 378.41 Mn | 107.78 Mn | -5.52 Mn | -153.44% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -153.44% |
| Mar 31, 2026 | -87.43% |
| Dec 31, 2025 | -236.97% |
| 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% |
API Access
Digi Power X Return on Sales [ROS] 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-sales-%5Bros%5D&ticker=DGXX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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-sales-%5Bros%5D&ticker=DGXX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();