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 -95.99% through Jun 30, 2026, down 21.65 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 five-year change of +1095.64 percentage points (FY2020 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 (+1184.29 pp).
- The Q2 2026 figure marks the lowest quarterly Return on Sales [ROS] since Q4 2022.
- Compared with a year earlier, Return on Sales [ROS] has declined for three straight quarters, with an average year-over-year change of -28.19 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 Q1 2023 (a drop of 87.81 percentage points).
- Per Business Quant data, DGXX's Return on Sales [ROS] in the three quarters before Q2 2026 was -87.43% (Q1 2026), -135.35% (Q4 2025) and -14.55% (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Microsoft | 3,890.86 Bn | 3,826.35 Bn | 62.56 Bn | 49.76% |
| 2 | International Business Machines | 233.55 Bn | 188.83 Bn | 9.71 Bn | 15.88% |
| 3 | Cloudflare | 109.18 Bn | 91.62 Bn | 557.23 Mn | -8.68% |
| 4 | Equinix | 104.31 Bn | 92.20 Bn | 1.31 Bn | 23.34% |
| 5 | CoreWeave | 29.43 Bn | 14.28 Bn | 2.48 Bn | 5.65% |
| 6 | Nebius | 29.32 Bn | 122.11 Mn | 761.10 Mn | 5.14% |
| 7 | Verisign | 28.11 Bn | 25.46 Bn | 393.20 Mn | 66.93% |
| 8 | Nutanix | 16.34 Bn | 8.02 Bn | 651.35 Mn | 9.24% |
| 9 | GoDaddy | 13.97 Bn | 9.35 Bn | 843.00 Mn | 27.02% |
| 10 | Digi Power X | 229.72 Mn | -129.88 Mn | -2.41 Mn | -20.67% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | -20.67% |
| Jun 30, 2026 | -153.44% |
| Mar 31, 2026 | -87.43% |
| Dec 31, 2025 | -135.35% |
| 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();