Big Digital Energy (BGDE) Short term Debt (2016 - 2026)
Big Digital Energy's (BGDE) quarterly Short term Debt came in at $30.1 million in Q2 2026, up 30.04% year-over-year from $23.1 million in Q2 2025, and up 13.4% quarter-over-quarter from $26.5 million in Q1 2026.
Big Digital Energy (BGDE) Short term Debt (2016 - 2026) Analysis & Trends
Big Digital Energy has disclosed Short term Debt across 11 years of filings, most recently posting $30.1 million for Q2 2026.
- In Q2 2026, Short term Debt rose 30.04% year-over-year to $30.1 million; the TTM figure through Jun 2026 stood at $30.1 million (up 30.04% YoY), while the FY2025 annual figure was $25.2 million, up 20.39% from the prior year.
- Short term Debt came in at $30.1 million for Q2 2026 at Big Digital Energy, up from $26.5 million in the prior quarter.
- In the past five years, Short term Debt ranged from a high of $47.0 million in Q2 2022 to a low of $16.0 million in Q1 2022.
- Average Short term Debt over 5 years is $24.3 million, with a median of $23.4 million recorded in 2022.
- Year-over-year, Short term Debt jumped 1005.37% in 2022 and plunged 46.14% in 2023.
- Over 5 years, Short term Debt stood at $23.6 million in 2022, then slipped by 18.03% to $19.4 million in 2023, then rose by 8.1% to $20.9 million in 2024, then advanced by 20.39% to $25.2 million in 2025, then grew by 19.32% to $30.1 million in 2026.
- Per Business Quant data, the three most recent Short term Debt figures were $30.1 million in Q2 2026, $26.5 million in Q1 2026, and $25.2 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 | 30.05 Mn |
| Mar 31, 2026 | 26.50 Mn |
| Dec 31, 2025 | 25.18 Mn |
| Sep 30, 2025 | 24.15 Mn |
| Jun 30, 2025 | 23.11 Mn |
| Mar 31, 2025 | 21.76 Mn |
| Dec 31, 2024 | 20.92 Mn |
| Sep 30, 2024 | 21.37 Mn |
| Jun 30, 2024 | 20.12 Mn |
| Mar 31, 2024 | 19.13 Mn |
| Dec 31, 2023 | 19.35 Mn |
| Sep 30, 2023 | 17.78 Mn |
| Jun 30, 2023 | 25.34 Mn |
| Mar 31, 2023 | 24.18 Mn |
| Dec 31, 2022 | 23.61 Mn |
| Sep 30, 2022 | 31.39 Mn |
| Jun 30, 2022 | 47.05 Mn |
| Mar 31, 2022 | 16.04 Mn |
| Dec 31, 2021 | 11.10 Mn |
| Sep 30, 2021 | 3.13 Mn |
Big Digital Energy Short term Debt 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=short-term-debt&ticker=BGDE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "short-term-debt", "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=short-term-debt&ticker=BGDE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();