Big Digital Energy (BGDE) Accumulated Expenses (2011 - 2025)
Big Digital Energy's (BGDE) quarterly Accumulated Expenses came in at $2.3 million in Q4 2025, up 8.62% year-over-year from $2.1 million in Q4 2024, and up 8.62% quarter-over-quarter from $2.1 million in Q4 2024.
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Analysis
Big Digital Energy (BGDE) Accumulated Expenses (2011 - 2025) Analysis & Trends
Big Digital Energy has disclosed Accumulated Expenses across 13 years of filings, most recently posting $2.3 million for Q4 2025.
- In Q4 2025, Accumulated Expenses rose 8.62% year-over-year to $2.3 million; the TTM figure through Dec 2025 stood at $2.3 million (up 8.62% YoY), while the FY2025 annual figure was $2.3 million, up 8.62% from the prior year.
- Accumulated Expenses came in at $2.3 million for Q4 2025 at Big Digital Energy, up from $2.1 million in the prior quarter.
- In the past five years, Accumulated Expenses ranged from a high of $4.0 million in Q4 2023 to a low of $88833.0 in Q4 2021.
- Average Accumulated Expenses over 5 years is $1.7 million, with a median of $2.1 million recorded in 2024.
- Year-over-year, Accumulated Expenses slumped 68.79% in 2021 and soared 2307.44% in 2023.
- Over 5 years, Accumulated Expenses stood at $88833.0 in 2021, then surged by 87.6% to $166650.0 in 2022, then soared by 2307.44% to $4.0 million in 2023, then slumped by 47.83% to $2.1 million in 2024, then rose by 8.62% to $2.3 million in 2025.
- Per Business Quant data, the three most recent Accumulated Expenses figures were $2.3 million in Q4 2025, $2.1 million in Q4 2024, and $4.0 million in Q4 2023.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Equinix | 100.78 Bn | 98.58 Bn | 1.40 Bn |
| 2 | Terawulf | 8.49 Bn | 5.72 Bn | 32.37 Mn |
| 3 | Applied Digital | 8.10 Bn | 6.08 Bn | 97.29 Mn |
| 4 | Cipher Digital | 7.60 Bn | 3.60 Bn | 9.79 Mn |
| 5 | GDS Holdings | 6.77 Bn | 4.71 Bn | 97.89 Mn |
| 6 | Core Scientific | 5.75 Bn | 3.81 Bn | 70.04 Mn |
| 7 | Vnet | 1.75 Bn | 868.32 Mn | 74.45 Mn |
| 8 | Sify Technologies | 1.48 Bn | 1.48 Bn | 51.65 Mn |
| 9 | WhiteFiber | 736.82 Mn | 676.45 Mn | 18.88 Mn |
| 10 | Big Digital Energy | 33.61 Mn | 13.86 Mn | 1.61 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 2.27 Mn |
| Dec 31, 2024 | 2.09 Mn |
| Dec 31, 2023 | 4.01 Mn |
| Dec 31, 2022 | 166,650.00 |
| Dec 31, 2021 | 88,833.00 |
| Dec 31, 2020 | 284,589.00 |
| Dec 31, 2019 | 87,000.00 |
| Dec 31, 2018 | 130,000.00 |
| Sep 30, 2016 | 313,000.00 |
| Jun 30, 2016 | 199,000.00 |
| Dec 31, 2015 | 291,000.00 |
| Dec 31, 2013 | 263.00 |
| Dec 31, 2012 | 199.00 |
| Sep 30, 2012 | 119.00 |
| Jun 30, 2012 | 116.00 |
| Mar 31, 2012 | 170.00 |
| Dec 31, 2011 | 160.00 |
| Sep 30, 2011 | 31,256.00 |
API Access
Big Digital Energy Accumulated 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=accumulated-expenses&ticker=BGDE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-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=accumulated-expenses&ticker=BGDE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();