Digi Power X (DGXX) Accumulated Expenses (2020 - 2025)
Digi Power X (DGXX) reported Accumulated Expenses of $5.74 billion for Q3 2025, up 14.5% from the prior quarter.
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Analysis
Digi Power X (DGXX) Accumulated Expenses (2020 - 2025) Analysis & Trends
At the end of FY2024, Digi Power X posted Accumulated Expenses of $13,271, down 71.7% from FY2023.
- Accumulated Expenses has a four-year compound annual growth rate of -98.4% (FY2020 to FY2024).
- By year, Accumulated Expenses came in at $46,923 in FY2023 (+180.7%), $16,715 in FY2022 (-100.0%), $236.68 billion in FY2021 (+9.4%) and $216.43 billion in FY2020.
- The Q3 2025 figure ranks as the highest quarterly Accumulated Expenses since Q4 2021.
- Per Business Quant data, the three quarters before Q3 2025 came in at $5.02 billion (Q2 2025), $2.65 billion (Q1 2025) and $13,271 (Q4 2024).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Microsoft | 3,890.86 Bn | 3,826.35 Bn | 62.56 Bn |
| 2 | International Business Machines | 233.55 Bn | 188.83 Bn | 9.71 Bn |
| 3 | Cloudflare | 109.18 Bn | 91.62 Bn | 557.23 Mn |
| 4 | Equinix | 104.31 Bn | 92.20 Bn | 1.31 Bn |
| 5 | CoreWeave | 29.43 Bn | 14.28 Bn | 2.48 Bn |
| 6 | Nebius | 29.32 Bn | 122.11 Mn | 761.10 Mn |
| 7 | Verisign | 28.11 Bn | 25.46 Bn | 393.20 Mn |
| 8 | Nutanix | 16.34 Bn | 8.02 Bn | 651.35 Mn |
| 9 | GoDaddy | 13.97 Bn | 9.35 Bn | 843.00 Mn |
| 10 | Digi Power X | 229.72 Mn | -129.88 Mn | -2.41 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2025 | 5.74 Bn |
| Jun 30, 2025 | 5.02 Bn |
| Mar 31, 2025 | 2.65 Bn |
| Dec 31, 2024 | 13,271.00 |
| Dec 31, 2023 | 46,923.00 |
| Sep 30, 2023 | 37,665.00 |
| Jun 30, 2023 | 27,226.00 |
| Mar 31, 2023 | 14,659.00 |
| Dec 31, 2022 | 16,715.00 |
| Sep 30, 2022 | 28,017.00 |
| Jun 30, 2022 | 14,193.00 |
| Dec 31, 2021 | 236.68 Bn |
| Sep 30, 2021 | 177,516.00 |
| Dec 31, 2020 | 216.43 Bn |
API Access
Digi Power X Accumulated Expenses 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=accumulated-expenses&ticker=DGXX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "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=accumulated-expenses&ticker=DGXX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();