Big Digital Energy (BGDE) Prepaid Assets (2013 - 2026)
Big Digital Energy's (BGDE) quarterly Prepaid Assets came in at $7.0 million in Q2 2026, up 83.73% year-over-year from $3.8 million in Q2 2025, and up 1.16% quarter-over-quarter from $7.0 million in Q1 2026.
Big Digital Energy (BGDE) Prepaid Assets (2013 - 2026) Analysis & Trends
Big Digital Energy has disclosed Prepaid Assets across 14 years of filings, most recently posting $7.0 million for Q2 2026.
- In Q2 2026, Prepaid Assets rose 83.73% year-over-year to $7.0 million; the TTM figure through Jun 2026 stood at $7.0 million (up 83.73% YoY), while the FY2025 annual figure was $3.7 million, down 22.57% from the prior year.
- Prepaid Assets came in at $7.0 million for Q2 2026 at Big Digital Energy, up from $7.0 million in the prior quarter.
- In the past five years, Prepaid Assets ranged from a high of $7.0 million in Q2 2026 to a low of $1.5 million in Q3 2023.
- Average Prepaid Assets over 5 years is $4.0 million, with a median of $3.8 million recorded in 2025.
- The largest YoY upside for Prepaid Assets was 1275.67% in 2022 against a maximum downside of 89.09% in 2022.
- Over 5 years, Prepaid Assets stood at $3.5 million in 2022, then advanced by 1.95% to $3.6 million in 2023, then soared by 33.51% to $4.7 million in 2024, then fell by 22.57% to $3.7 million in 2025, then jumped by 91.34% to $7.0 million in 2026.
- Per Business Quant data, the three most recent Prepaid Assets figures were $7.0 million in Q2 2026, $7.0 million in Q1 2026, and $3.7 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 | 7.04 Mn |
| Mar 31, 2026 | 6.96 Mn |
| Dec 31, 2025 | 3.68 Mn |
| Sep 30, 2025 | 3.94 Mn |
| Jun 30, 2025 | 3.83 Mn |
| Mar 31, 2025 | 3.84 Mn |
| Dec 31, 2024 | 4.75 Mn |
| Sep 30, 2024 | 4.50 Mn |
| Jun 30, 2024 | 5.35 Mn |
| Mar 31, 2024 | 4.24 Mn |
| Dec 31, 2023 | 3.56 Mn |
| Sep 30, 2023 | 1.55 Mn |
| Jun 30, 2023 | 3.58 Mn |
| Mar 31, 2023 | 1.93 Mn |
| Dec 31, 2022 | 3.49 Mn |
| Sep 30, 2022 | 2.54 Mn |
| Jun 30, 2022 | 5.29 Mn |
| Mar 31, 2022 | 1.97 Mn |
| Dec 31, 2021 | 332,154.00 |
| Sep 30, 2021 | 624,904.00 |
Big Digital Energy Prepaid 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=prepaid-assets&ticker=BGDE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "prepaid-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=prepaid-assets&ticker=BGDE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();