Big Digital Energy (BGDE) Cost of Revenue (2011 - 2026)
Big Digital Energy's (BGDE) quarterly Cost of Revenue came in at $4.5 million in Q2 2026, down 18.84% year-over-year from $5.6 million in Q2 2025, and up 19.17% quarter-over-quarter from $3.8 million in Q1 2026.
Big Digital Energy (BGDE) Cost of Revenue (2011 - 2026) Analysis & Trends
Big Digital Energy has disclosed Cost of Revenue across 8 years of filings, most recently posting $4.5 million for Q2 2026.
- In Q2 2026, Cost of Revenue fell 18.84% year-over-year to $4.5 million; the TTM figure through Jun 2026 stood at $17.3 million (down 45.83% YoY), while the FY2025 annual figure was $22.4 million, down 42.52% from the prior year.
- Cost of Revenue came in at $4.5 million for Q2 2026 at Big Digital Energy, up from $3.8 million in the prior quarter.
- In the past five years, Cost of Revenue ranged from a high of $18.2 million in Q3 2022 to a low of $3.8 million in Q1 2026.
- Average Cost of Revenue over 5 years is $8.1 million, with a median of $7.8 million recorded in 2023.
- Year-over-year, Cost of Revenue jumped 4781.71% in 2022 and tumbled 58.61% in 2025.
- Over 5 years, Cost of Revenue stood at $6.8 million in 2022, then surged by 35.13% to $9.1 million in 2023, then gained by 13.97% to $10.4 million in 2024, then plunged by 58.61% to $4.3 million in 2025, then advanced by 5.46% to $4.5 million in 2026.
- Per Business Quant data, the three most recent Cost of Revenue figures were $4.5 million in Q2 2026, $3.8 million in Q1 2026, and $4.3 million in Q4 2025.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Equinix | 100.78 Bn | 98.58 Bn | 1.40 Bn | 1.23 Bn |
| 2 | Terawulf | 8.49 Bn | 5.72 Bn | 32.37 Mn | 12.40 Mn |
| 3 | Applied Digital | 8.10 Bn | 6.08 Bn | 97.29 Mn | 161.46 Mn |
| 4 | Cipher Digital | 7.60 Bn | 3.60 Bn | 9.79 Mn | 15.05 Mn |
| 5 | GDS Holdings | 6.77 Bn | 4.71 Bn | 97.89 Mn | 357.22 Mn |
| 6 | Core Scientific | 5.75 Bn | 3.81 Bn | 70.04 Mn | 94.16 Mn |
| 7 | Vnet | 1.75 Bn | 868.32 Mn | 74.45 Mn | 335.08 Mn |
| 8 | Sify Technologies | 1.48 Bn | 1.48 Bn | 51.65 Mn | 78.82 Mn |
| 9 | WhiteFiber | 736.82 Mn | 676.45 Mn | 18.88 Mn | 9.96 Mn |
| 10 | Big Digital Energy | 33.61 Mn | 13.86 Mn | 1.61 Mn | 4.54 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 4.54 Mn |
| Mar 31, 2026 | 3.81 Mn |
| Dec 31, 2025 | 4.31 Mn |
| Sep 30, 2025 | 4.61 Mn |
| Jun 30, 2025 | 5.60 Mn |
| Mar 31, 2025 | 7.89 Mn |
| Dec 31, 2024 | 10.41 Mn |
| Sep 30, 2024 | 8.00 Mn |
| Jun 30, 2024 | 8.79 Mn |
| Mar 31, 2024 | 11.79 Mn |
| Dec 31, 2023 | 9.13 Mn |
| Sep 30, 2023 | 7.72 Mn |
| Jun 30, 2023 | 7.03 Mn |
| Mar 31, 2023 | 4.68 Mn |
| Dec 31, 2022 | 6.76 Mn |
| Sep 30, 2022 | 18.18 Mn |
| Jun 30, 2022 | 14.36 Mn |
| Mar 31, 2022 | 8.41 Mn |
| Dec 31, 2021 | 3.69 Mn |
| Sep 30, 2021 | 2.50 Mn |
Big Digital Energy 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=BGDE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-revenue", "ticker": "BGDE", "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=BGDE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();