Digi Power X (DGXX) Total Liabilities (2020 - 2026)
Digi Power X (DGXX) posted Total Liabilities of $14.55 million for Q2 2026, up 45.5% from $10 million a year earlier and up 81.9% from the prior quarter.
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Analysis
Digi Power X (DGXX) Total Liabilities (2020 - 2026) Analysis & Trends
At the end of FY2025, Digi Power X's Total Liabilities came in at $10.85 million, down 9.8% from FY2024.
- Annual Total Liabilities shows a five-year compound annual growth rate of 12.3% (FY2020 to FY2025).
- In prior years, Digi Power X's Total Liabilities was $12.03 million in FY2024 (+61.6%), $7.44 million in FY2023 (+37.2%), $5.42 million in FY2022 (-87.0%) and $41.77 million in FY2021 (+587.4%).
- The Q2 2026 figure stands as the highest quarterly Total Liabilities since Q1 2022.
- On a year-over-year basis, Total Liabilities increased in four of the last eight quarters, with growth averaging 5.7%.
- The strongest year-over-year quarter for Total Liabilities in the past five years was Q4 2021, with growth of 587.4%; the weakest was Q4 2022, with a decline of 87.0%.
- According to Business Quant data, Total Liabilities for the three prior quarters was $8 million (Q1 2026), $10.85 million (Q4 2025) and $7.11 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Microsoft | 3,809.31 Bn | 3,732.47 Bn | 60.48 Bn | 315.99 Bn |
| 2 | International Business Machines | 207.26 Bn | 158.16 Bn | 9.91 Bn | 117.56 Bn |
| 3 | Cloudflare | 111.87 Bn | 95.40 Bn | 499.52 Mn | 4.85 Bn |
| 4 | Equinix | 99.81 Bn | 88.37 Bn | 1.40 Bn | 26.69 Bn |
| 5 | Nebius | 59.68 Bn | 33.11 Bn | 448.70 Mn | 17.62 Bn |
| 6 | CoreWeave | 48.00 Bn | 35.10 Bn | 1.70 Bn | 72.05 Bn |
| 7 | Verisign | 25.49 Bn | 22.71 Bn | 384.60 Mn | 4.06 Bn |
| 8 | Nutanix | 19.05 Bn | 10.74 Bn | 651.35 Mn | 4.37 Bn |
| 9 | Akamai Technologies | 15.27 Bn | 8.68 Bn | 613.75 Mn | 10.32 Bn |
| 10 | Digi Power X | 404.03 Mn | 133.40 Mn | -5.52 Mn | 14.55 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 14.55 Mn |
| Mar 31, 2026 | 8.00 Mn |
| Dec 31, 2025 | 10.85 Mn |
| Sep 30, 2025 | 7.11 Mn |
| Jun 30, 2025 | 10.00 Mn |
| Mar 31, 2025 | 8.51 Mn |
| Dec 31, 2024 | 12.03 Mn |
| Sep 30, 2024 | 11.52 Mn |
| Jun 30, 2024 | 12.93 Mn |
| Mar 31, 2024 | 8.20 Mn |
| Dec 31, 2023 | 7.44 Mn |
| Sep 30, 2023 | 10.36 Mn |
| Jun 30, 2023 | 13.50 Mn |
| Mar 31, 2023 | 13.05 Mn |
| Dec 31, 2022 | 5.42 Mn |
| Sep 30, 2022 | 6.39 Mn |
| Jun 30, 2022 | 10.73 Mn |
| Mar 31, 2022 | 17.75 Mn |
| Dec 31, 2021 | 41.77 Mn |
| Dec 31, 2020 | 6.08 Mn |
API Access
Digi Power X Total Liabilities 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=total-liabilities&ticker=DGXX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=DGXX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();