Big Digital Energy (BGDE) Assets (2011 - 2026)
Big Digital Energy's (BGDE) quarterly Assets came in at $59.7 million in Q2 2026, up 13.29% year-over-year from $52.7 million in Q2 2025, and up 23.47% quarter-over-quarter from $48.4 million in Q1 2026.
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Analysis
Big Digital Energy (BGDE) Assets (2011 - 2026) Analysis & Trends
Big Digital Energy has disclosed Assets across 16 years of filings, most recently posting $59.7 million for Q2 2026.
- In Q2 2026, Assets rose 13.29% year-over-year to $59.7 million; the TTM figure through Jun 2026 stood at $59.7 million (up 13.29% YoY), while the FY2025 annual figure was $57.4 million, down 6.51% from the prior year.
- Assets came in at $59.7 million for Q2 2026 at Big Digital Energy, up from $48.4 million in the prior quarter.
- In the past five years, Assets ranged from a high of $191.8 million in Q2 2022 to a low of $48.4 million in Q1 2026.
- Average Assets over 5 years is $91.6 million, with a median of $66.7 million recorded in 2024.
- Year-over-year, Assets soared 452.28% in 2022 and sank 51.36% in 2023.
- Over 5 years, Assets stood at $133.3 million in 2022, then slumped by 36.42% to $84.8 million in 2023, then slipped by 27.52% to $61.4 million in 2024, then declined by 6.51% to $57.4 million in 2025, then rose by 4.02% to $59.7 million in 2026.
- Per Business Quant data, the three most recent Assets figures were $59.7 million in Q2 2026, $48.4 million in Q1 2026, and $57.4 million in Q4 2025.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Equinix | 100.78 Bn | 98.58 Bn | 1.40 Bn | 41.08 Bn |
| 2 | Terawulf | 8.49 Bn | 5.72 Bn | 32.37 Mn | 8.05 Bn |
| 3 | Applied Digital | 8.10 Bn | 6.08 Bn | 97.29 Mn | 9.93 Bn |
| 4 | Cipher Digital | 7.60 Bn | 3.60 Bn | 9.79 Mn | 7.50 Bn |
| 5 | GDS Holdings | 6.77 Bn | 4.71 Bn | 97.89 Mn | 12.64 Bn |
| 6 | Core Scientific | 5.75 Bn | 3.81 Bn | 70.04 Mn | 5.26 Bn |
| 7 | Vnet | 1.75 Bn | 868.32 Mn | 74.45 Mn | 248.68 Mn |
| 8 | Sify Technologies | 1.48 Bn | 1.48 Bn | 51.65 Mn | - |
| 9 | WhiteFiber | 736.82 Mn | 676.45 Mn | 18.88 Mn | 880.89 Mn |
| 10 | Big Digital Energy | 33.61 Mn | 13.86 Mn | 1.61 Mn | 59.75 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 59.75 Mn |
| Mar 31, 2026 | 48.39 Mn |
| Dec 31, 2025 | 57.44 Mn |
| Sep 30, 2025 | 52.02 Mn |
| Jun 30, 2025 | 52.74 Mn |
| Mar 31, 2025 | 57.86 Mn |
| Dec 31, 2024 | 61.44 Mn |
| Sep 30, 2024 | 60.77 Mn |
| Jun 30, 2024 | 65.63 Mn |
| Mar 31, 2024 | 67.71 Mn |
| Dec 31, 2023 | 84.77 Mn |
| Sep 30, 2023 | 87.84 Mn |
| Jun 30, 2023 | 104.77 Mn |
| Mar 31, 2023 | 116.73 Mn |
| Dec 31, 2022 | 133.33 Mn |
| Sep 30, 2022 | 180.60 Mn |
| Jun 30, 2022 | 191.84 Mn |
| Mar 31, 2022 | 165.97 Mn |
| Dec 31, 2021 | 145.29 Mn |
| Sep 30, 2021 | 117.78 Mn |
API Access
Big Digital Energy Assets 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=assets&ticker=BGDE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "assets", "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=assets&ticker=BGDE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();