Big Digital Energy (BGDE) Other Accumulated Expenses (2018 - 2026)
Big Digital Energy's (BGDE) quarterly Other Accumulated Expenses came in at $1.9 million in Q2 2026, up 26.67% year-over-year from $1.5 million in Q2 2025, and up 5.56% quarter-over-quarter from $1.8 million in Q1 2026.
Big Digital Energy (BGDE) Other Accumulated Expenses (2018 - 2026) Analysis & Trends
Big Digital Energy has disclosed Other Accumulated Expenses across 8 years of filings, most recently posting $1.9 million for Q2 2026.
- In Q2 2026, Other Accumulated Expenses rose 26.67% year-over-year to $1.9 million; the TTM figure through Jun 2026 stood at $1.9 million (up 26.67% YoY), while the FY2025 annual figure was $1.7 million, up 30.77% from the prior year.
- Other Accumulated Expenses came in at $1.9 million for Q2 2026 at Big Digital Energy, up from $1.8 million in the prior quarter.
- In the past five years, Other Accumulated Expenses ranged from a high of $33.0 million in Q3 2023 to a low of $1.2 million in Q4 2023.
- Average Other Accumulated Expenses over 5 years is $10.4 million, with a median of $1.7 million recorded in 2025.
- Year-over-year, Other Accumulated Expenses surged 57337.68% in 2022 and tumbled 96.16% in 2024.
- Over 5 years, Other Accumulated Expenses stood at $18.9 million in 2022, then tumbled by 93.91% to $1.2 million in 2023, then advanced by 13.04% to $1.3 million in 2024, then jumped by 30.77% to $1.7 million in 2025, then advanced by 11.76% to $1.9 million in 2026.
- Per Business Quant data, the three most recent Other Accumulated Expenses figures were $1.9 million in Q2 2026, $1.8 million in Q1 2026, and $1.7 million in Q4 2025.
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
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.90 Mn |
| Mar 31, 2026 | 1.80 Mn |
| Dec 31, 2025 | 1.70 Mn |
| Sep 30, 2025 | 1.60 Mn |
| Jun 30, 2025 | 1.50 Mn |
| Mar 31, 2025 | 1.30 Mn |
| Dec 31, 2024 | 1.30 Mn |
| Sep 30, 2024 | 1.35 Mn |
| Jun 30, 2024 | 1.24 Mn |
| Dec 31, 2023 | 1.15 Mn |
| Sep 30, 2023 | 32.98 Mn |
| Jun 30, 2023 | 32.30 Mn |
| Mar 31, 2023 | 31.81 Mn |
| Dec 31, 2022 | 18.87 Mn |
| Sep 30, 2022 | 24.69 Mn |
| Dec 31, 2021 | 32,853.00 |
| Dec 31, 2019 | 278,000.00 |
| Dec 31, 2018 | 142,000.00 |
Big Digital Energy Other 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=other-accumulated-expenses&ticker=BGDE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-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=other-accumulated-expenses&ticker=BGDE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();