Digi Power X (DGXX) Property, Plant & Equipment (Net) (2020 - 2026)
Digi Power X's Property, Plant & Equipment (Net) came in at $73.24 million for Q2 2026, up 273.3% from $19.62 million a year earlier and up 179.4% from the prior quarter.
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Analysis
Digi Power X (DGXX) Property, Plant & Equipment (Net) (2020 - 2026) Analysis & Trends
At the end of FY2025, Digi Power X's Property, Plant & Equipment (Net) was $23.01 million, down 2.7% from FY2024.
- Property, Plant & Equipment (Net) has declined in each of the last three years, though with a five-year compound annual growth rate of 28.8% (FY2020 to FY2025).
- Going back by year, Property, Plant & Equipment (Net) was $23.64 million in FY2024 (-29.2%), $33.39 million in FY2023 (-20.1%), $41.81 million in FY2022 (+9.6%) and $38.14 million in FY2021 (+487.0%).
- The Q2 2026 figure represents the highest quarterly Property, Plant & Equipment (Net) in data going back to Q4 2020.
- Year-over-year, Property, Plant & Equipment (Net) increased in two of the last eight quarters, with growth averaging 19.1%.
- The fastest year-over-year change in Property, Plant & Equipment (Net) over five years came in Q4 2021 (growth of 487.0%), and the weakest in Q3 2024 (a decline of 32.6%).
- Business Quant data shows DGXX's Property, Plant & Equipment (Net) at $26.21 million (Q1 2026), $23.01 million (Q4 2025) and $19.52 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Net) (Qtr) |
|---|---|---|---|---|---|
| 1 | Microsoft | 3,843.70 Bn | 3,766.85 Bn | 60.48 Bn | 313.08 Bn |
| 2 | International Business Machines | 209.74 Bn | 160.64 Bn | 9.91 Bn | 5.74 Bn |
| 3 | Cloudflare | 112.41 Bn | 95.94 Bn | 499.52 Mn | 703.21 Mn |
| 4 | Equinix | 101.21 Bn | 89.76 Bn | 1.40 Bn | 25.22 Bn |
| 5 | Nebius | 61.44 Bn | 34.87 Bn | 448.70 Mn | 13.05 Bn |
| 6 | CoreWeave | 49.38 Bn | 36.47 Bn | 1.70 Bn | 46.74 Bn |
| 7 | Verisign | 26.06 Bn | 23.28 Bn | 384.60 Mn | 227.70 Mn |
| 8 | Nutanix | 19.56 Bn | 11.24 Bn | 651.35 Mn | 134.89 Mn |
| 9 | Akamai Technologies | 15.64 Bn | 9.05 Bn | 613.75 Mn | 2.64 Bn |
| 10 | Digi Power X | 378.41 Mn | 107.78 Mn | -5.52 Mn | 73.24 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 73.24 Mn |
| Mar 31, 2026 | 26.21 Mn |
| Dec 31, 2025 | 23.01 Mn |
| Sep 30, 2025 | 19.52 Mn |
| Jun 30, 2025 | 19.62 Mn |
| Mar 31, 2025 | 20.38 Mn |
| Dec 31, 2024 | 23.64 Mn |
| Sep 30, 2024 | 24.93 Mn |
| Jun 30, 2024 | 28.77 Mn |
| Mar 31, 2024 | 29.48 Mn |
| Dec 31, 2023 | 33.39 Mn |
| Sep 30, 2023 | 37.01 Mn |
| Jun 30, 2023 | 40.30 Mn |
| Mar 31, 2023 | 41.25 Mn |
| Dec 31, 2022 | 41.81 Mn |
| Sep 30, 2022 | 43.41 Mn |
| Jun 30, 2022 | 42.91 Mn |
| Mar 31, 2022 | 41.47 Mn |
| Dec 31, 2021 | 38.14 Mn |
| Dec 31, 2020 | 6.50 Mn |
API Access
Digi Power X Property, Plant & Equipment (Net) 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=property-plant-and-equipment-net&ticker=DGXX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "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=property-plant-and-equipment-net&ticker=DGXX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();