Digi Power X (DGXX) Other Operating Expenses (2020 - 2026)
Digi Power X's Other Operating Expenses came in at -$4.85 million for Q2 2026, compared with -$730,308 a year earlier.
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Analysis
Digi Power X (DGXX) Other Operating Expenses (2020 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Digi Power X reported Other Operating Expenses of -$4.56 million; for FY2025, it came in at $6.72 million.
- Going back by year, Other Operating Expenses was $13,784 in FY2024 (-74.7%), $54,528 in FY2023, -$50,834 in FY2022 and $98,443 in FY2021.
- The Q2 2026 figure represents the lowest quarterly Other Operating Expenses in data going back to Q3 2020.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Microsoft | 3,895.54 Bn | 3,818.69 Bn | 60.48 Bn |
| 2 | International Business Machines | 238.91 Bn | 189.81 Bn | 9.91 Bn |
| 3 | Cloudflare | 105.03 Bn | 88.56 Bn | 499.52 Mn |
| 4 | Equinix | 94.23 Bn | 82.79 Bn | 1.40 Bn |
| 5 | Nebius | 40.16 Bn | 13.60 Bn | 448.70 Mn |
| 6 | CoreWeave | 29.89 Bn | 16.98 Bn | 1.70 Bn |
| 7 | Verisign | 26.97 Bn | 24.32 Bn | 393.20 Mn |
| 8 | Nutanix | 19.10 Bn | 10.78 Bn | 651.35 Mn |
| 9 | GoDaddy | 14.18 Bn | 9.76 Bn | 828.20 Mn |
| 10 | Digi Power X | 220.74 Mn | -49.89 Mn | -5.52 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -4.85 Mn |
| Mar 31, 2026 | 802,358.00 |
| Sep 30, 2025 | -16,268.00 |
| Jun 30, 2025 | -77,938.00 |
| Mar 31, 2025 | -104,941.00 |
| Dec 31, 2024 | 77,704.00 |
| Sep 30, 2024 | -12,664.00 |
| Jun 30, 2024 | -16,300.00 |
| Mar 31, 2024 | -34,956.00 |
| Dec 31, 2023 | -35,472.00 |
| Sep 30, 2023 | -20,637.00 |
| Jun 30, 2023 | -6,525.00 |
| Mar 31, 2023 | 7,000.00 |
| Dec 31, 2022 | 178,613.00 |
| Sep 30, 2022 | -19,461.00 |
| Jun 30, 2022 | -65,605.00 |
| Mar 31, 2022 | -144,381.00 |
| Dec 31, 2021 | 240,529.00 |
| Sep 30, 2021 | -24,756.00 |
| Jun 30, 2021 | -37,326.00 |
API Access
Digi Power X Other Operating 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=other-operating-expenses&ticker=DGXX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-operating-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=other-operating-expenses&ticker=DGXX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();