Digi Power X (DGXX) Cost of Revenue (2022 - 2026)
Digi Power X (DGXX) recorded Cost of Revenue of $12.15 million in Q2 2026, up 83.3% from $6.63 million a year earlier and up 60.1% from the prior quarter.
Powered by 
Analysis
Digi Power X (DGXX) Cost of Revenue (2022 - 2026) Analysis & Trends
On a TTM basis, Digi Power X's Cost of Revenue came in at $36.56 million as of Jun 30, 2026, up 18.7% year-over-year; for FY2025, it came in at $37.4 million, up 14.3% from FY2024.
- Annual Cost of Revenue has increased for five straight years, with a five-year compound annual growth rate of 55.1% (FY2020 to FY2025).
- Across earlier years, Cost of Revenue came in at $32.71 million in FY2024 (+56.8%), $20.86 million in FY2023 (+17.4%), $17.76 million in FY2022 (+151.1%) and $7.07 million in FY2021 (+69.9%).
- The Q2 2026 figure is the highest quarterly Cost of Revenue in data going back to Q1 2022.
- On a year-over-year basis, Cost of Revenue rose in three of the last eight quarters, with growth averaging 16.4%.
- Peak year-over-year performance for Cost of Revenue in the last five years was growth of 235.1% in Q1 2024, against a decline of 48.3% in Q1 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $7.59 million (Q1 2026), $9.41 million (Q4 2025) and $7.4 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Microsoft | 3,843.70 Bn | 3,766.85 Bn | 60.48 Bn | 29.53 Bn |
| 2 | International Business Machines | 209.74 Bn | 160.64 Bn | 9.91 Bn | 7.26 Bn |
| 3 | Cloudflare | 112.41 Bn | 95.94 Bn | 499.52 Mn | 196.54 Mn |
| 4 | Equinix | 101.21 Bn | 89.76 Bn | 1.40 Bn | 1.23 Bn |
| 5 | Nebius | 61.44 Bn | 34.87 Bn | 448.70 Mn | 133.60 Mn |
| 6 | CoreWeave | 49.38 Bn | 36.47 Bn | 1.70 Bn | 879.00 Mn |
| 7 | Verisign | 26.06 Bn | 23.28 Bn | 384.60 Mn | 50.00 Mn |
| 8 | Nutanix | 19.56 Bn | 11.24 Bn | 651.35 Mn | 105.73 Mn |
| 9 | Akamai Technologies | 15.64 Bn | 9.05 Bn | 613.75 Mn | 485.93 Mn |
| 10 | Digi Power X | 378.41 Mn | 107.78 Mn | -5.52 Mn | 12.15 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 12.15 Mn |
| Mar 31, 2026 | 7.59 Mn |
| Dec 31, 2025 | 9.41 Mn |
| Sep 30, 2025 | 7.40 Mn |
| Jun 30, 2025 | 6.63 Mn |
| Mar 31, 2025 | 8.62 Mn |
| Dec 31, 2024 | 7.20 Mn |
| Sep 30, 2024 | 8.33 Mn |
| Jun 30, 2024 | 8.18 Mn |
| Mar 31, 2024 | 9.00 Mn |
| Dec 31, 2023 | 10.34 Mn |
| Sep 30, 2023 | 4.29 Mn |
| Jun 30, 2023 | 3.54 Mn |
| Mar 31, 2023 | 2.69 Mn |
| Dec 31, 2022 | 10.19 Mn |
| Sep 30, 2022 | -1.56 Mn |
| Jun 30, 2022 | 3.93 Mn |
| Mar 31, 2022 | 5.20 Mn |
API Access
Digi Power X Cost of Revenue 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=cost-of-revenue&ticker=DGXX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-revenue", "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=cost-of-revenue&ticker=DGXX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();