Big Digital Energy (BGDE) Operating Expenses (2011 - 2026)
Big Digital Energy's (BGDE) quarterly Operating Expenses came in at $7.9 million in Q2 2026, down 24.74% year-over-year from $10.5 million in Q2 2025, and down 13.65% quarter-over-quarter from $9.2 million in Q1 2026.
Big Digital Energy (BGDE) Operating Expenses (2011 - 2026) Analysis & Trends
Big Digital Energy has disclosed Operating Expenses across 16 years of filings, most recently posting $7.9 million for Q2 2026.
- In Q2 2026, Operating Expenses fell 24.74% year-over-year to $7.9 million; the TTM figure through Jun 2026 stood at $37.8 million (down 8.88% YoY), while the FY2025 annual figure was $36.6 million, down 28.76% from the prior year.
- Operating Expenses came in at $7.9 million for Q2 2026 at Big Digital Energy, down from $9.2 million in the prior quarter.
- In the past five years, Operating Expenses ranged from a high of $33.1 million in Q4 2022 to a low of $5.3 million in Q1 2025.
- Average Operating Expenses over 5 years is $14.5 million, with a median of $14.2 million recorded in 2024.
- Year-over-year, Operating Expenses soared 161.46% in 2022 and tumbled 63.57% in 2025.
- Over 5 years, Operating Expenses stood at $33.1 million in 2022, then plunged by 40.49% to $19.7 million in 2023, then plunged by 49.39% to $10.0 million in 2024, then soared by 38.47% to $13.8 million in 2025, then tumbled by 42.69% to $7.9 million in 2026.
- Per Business Quant data, the three most recent Operating Expenses figures were $7.9 million in Q2 2026, $9.2 million in Q1 2026, and $13.8 million in Q4 2025.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Equinix | 100.78 Bn | 98.58 Bn | 1.40 Bn | 1.96 Bn |
| 2 | Terawulf | 8.49 Bn | 5.72 Bn | 32.37 Mn | 185.22 Mn |
| 3 | Applied Digital | 8.10 Bn | 6.08 Bn | 97.29 Mn | 383.57 Mn |
| 4 | Cipher Digital | 7.60 Bn | 3.60 Bn | 9.79 Mn | 35.08 Mn |
| 5 | GDS Holdings | 6.77 Bn | 4.71 Bn | 97.89 Mn | -28.32 Mn |
| 6 | Core Scientific | 5.75 Bn | 3.81 Bn | 70.04 Mn | 49.39 Mn |
| 7 | Vnet | 1.75 Bn | 868.32 Mn | 74.45 Mn | -40.67 Mn |
| 8 | Sify Technologies | 1.48 Bn | 1.48 Bn | 51.65 Mn | -97.82 Mn |
| 9 | WhiteFiber | 736.82 Mn | 676.45 Mn | 18.88 Mn | 38.09 Mn |
| 10 | Big Digital Energy | 33.61 Mn | 13.86 Mn | 1.61 Mn | 7.91 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 7.91 Mn |
| Mar 31, 2026 | 9.16 Mn |
| Dec 31, 2025 | 13.80 Mn |
| Sep 30, 2025 | 6.98 Mn |
| Jun 30, 2025 | 10.51 Mn |
| Mar 31, 2025 | 5.35 Mn |
| Dec 31, 2024 | 9.96 Mn |
| Sep 30, 2024 | 15.72 Mn |
| Jun 30, 2024 | 11.07 Mn |
| Mar 31, 2024 | 14.68 Mn |
| Dec 31, 2023 | 19.69 Mn |
| Sep 30, 2023 | 19.84 Mn |
| Jun 30, 2023 | 21.19 Mn |
| Mar 31, 2023 | 14.69 Mn |
| Dec 31, 2022 | 33.08 Mn |
| Sep 30, 2022 | 18.38 Mn |
| Jun 30, 2022 | 8.68 Mn |
| Mar 31, 2022 | 20.67 Mn |
| Dec 31, 2021 | 12.65 Mn |
| Sep 30, 2021 | 10.70 Mn |
Big Digital Energy 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=operating-expenses&ticker=BGDE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=BGDE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();