Big Digital Energy (BGDE) EBITDA (2011 - 2026)
Big Digital Energy's (BGDE) quarterly EBITDA came in at -$6.3 million in Q2 2026, up 4.17% year-over-year from -$6.0 million in Q2 2025, and up 22.73% quarter-over-quarter from -$8.2 million in Q1 2026.
Big Digital Energy (BGDE) EBITDA (2011 - 2026) Analysis & Trends
Big Digital Energy has disclosed EBITDA across 13 years of filings, most recently posting -$6.3 million for Q2 2026.
- In Q2 2026, EBITDA rose 4.17% year-over-year to -$6.3 million; the TTM figure through Jun 2026 stood at -$27.7 million (down 22.21% YoY), while the FY2025 annual figure was -$19.3 million, up 38.07% from the prior year.
- EBITDA came in at -$6.3 million for Q2 2026 at Big Digital Energy, up from -$8.2 million in the prior quarter.
- In the past five years, EBITDA ranged from a high of $1.6 million in Q3 2025 to a low of -$23.0 million in Q4 2022.
- Average EBITDA over 5 years is -$8.7 million, with a median of -$8.2 million recorded in 2022.
- Year-over-year, EBITDA soared 113.85% in 2025 and sank 1513.48% in 2026.
- Over 5 years, EBITDA stood at -$23.0 million in 2022, then surged by 35.59% to -$14.8 million in 2023, then surged by 64.14% to -$5.3 million in 2024, then tumbled by 180.18% to -$14.9 million in 2025, then jumped by 57.66% to -$6.3 million in 2026.
- Per Business Quant data, the three most recent EBITDA figures were -$6.3 million in Q2 2026, -$8.2 million in Q1 2026, and -$14.9 million in Q4 2025.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Equinix | 100.78 Bn | 98.58 Bn | 1.40 Bn | 665.00 Mn |
| 2 | Terawulf | 8.49 Bn | 5.72 Bn | 32.37 Mn | -119.21 Mn |
| 3 | Applied Digital | 8.10 Bn | 6.08 Bn | 97.29 Mn | -124.82 Mn |
| 4 | Cipher Digital | 7.60 Bn | 3.60 Bn | 9.79 Mn | -59.94 Mn |
| 5 | GDS Holdings | 6.77 Bn | 4.71 Bn | 97.89 Mn | 64.50 Mn |
| 6 | Core Scientific | 5.75 Bn | 3.81 Bn | 70.04 Mn | -78.47 Mn |
| 7 | Vnet | 1.75 Bn | 868.32 Mn | 74.45 Mn | 135.34 Mn |
| 8 | Sify Technologies | 1.48 Bn | 1.48 Bn | 51.65 Mn | 31.74 Mn |
| 9 | WhiteFiber | 736.82 Mn | 676.45 Mn | 18.88 Mn | -2.69 Mn |
| 10 | Big Digital Energy | 33.61 Mn | 13.86 Mn | 1.61 Mn | -6.30 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -6.30 Mn |
| Mar 31, 2026 | -8.15 Mn |
| Dec 31, 2025 | -14.88 Mn |
| Sep 30, 2025 | 1.58 Mn |
| Jun 30, 2025 | -6.57 Mn |
| Mar 31, 2025 | 576,678.00 |
| Dec 31, 2024 | -5.31 Mn |
| Sep 30, 2024 | -11.40 Mn |
| Jun 30, 2024 | -2.16 Mn |
| Mar 31, 2024 | -7.69 Mn |
| Dec 31, 2023 | -14.80 Mn |
| Sep 30, 2023 | -16.22 Mn |
| Jun 30, 2023 | -8.87 Mn |
| Mar 31, 2023 | -11.70 Mn |
| Dec 31, 2022 | -22.99 Mn |
| Sep 30, 2022 | -8.24 Mn |
| Jun 30, 2022 | -3.26 Mn |
| Mar 31, 2022 | -9.66 Mn |
| Dec 31, 2021 | 3.32 Mn |
| Sep 30, 2021 | -2.25 Mn |
Big Digital Energy EBITDA 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=ebitda&ticker=BGDE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=BGDE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();