Big Digital Energy (BGDE) Asset Utilization Ratio (2020 - 2026)
Big Digital Energy's (BGDE) quarterly Asset Utilization Ratio came in at 0.51 in Q2 2026, down 44.8% year-over-year from 0.92 in Q2 2025, and down 12.89% quarter-over-quarter from 0.58 in Q1 2026.
Big Digital Energy (BGDE) Asset Utilization Ratio (2020 - 2026) Analysis & Trends
Big Digital Energy has disclosed Asset Utilization Ratio across 7 years of filings, most recently posting 0.51 for Q2 2026.
- In Q2 2026, Asset Utilization Ratio fell 44.8% year-over-year to 0.51; the TTM figure through Jun 2026 stood at 0.51 (down 44.8% YoY), while the FY2025 annual figure was 0.67, down 17.5% from the prior year.
- Asset Utilization Ratio came in at 0.51 for Q2 2026 at Big Digital Energy, down from 0.58 in the prior quarter.
- In the past five years, Asset Utilization Ratio ranged from a high of 0.98 in Q3 2025 to a low of 0.36 in Q1 2022.
- Average Asset Utilization Ratio over 5 years is 0.67, with a median of 0.58 recorded in 2023.
- Year-over-year, Asset Utilization Ratio jumped 92.11% in 2024 and plunged 44.8% in 2026.
- Over 5 years, Asset Utilization Ratio stood at 0.54 in 2022, then dropped by 6.09% to 0.5 in 2023, then jumped by 92.11% to 0.97 in 2024, then slipped by 25.11% to 0.73 in 2025, then plunged by 30.29% to 0.51 in 2026.
- Per Business Quant data, the three most recent Asset Utilization Ratio figures were 0.51 in Q2 2026, 0.58 in Q1 2026, and 0.73 in Q4 2025.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Asset Util. (Qtr) |
|---|---|---|---|---|---|
| 1 | Equinix | 100.78 Bn | 98.58 Bn | 1.40 Bn | 0.24 |
| 2 | Terawulf | 8.49 Bn | 5.72 Bn | 32.37 Mn | 0.02 |
| 3 | Applied Digital | 8.10 Bn | 6.08 Bn | 97.29 Mn | 0.07 |
| 4 | Cipher Digital | 7.60 Bn | 3.60 Bn | 9.79 Mn | 0.03 |
| 5 | GDS Holdings | 6.77 Bn | 4.71 Bn | 97.89 Mn | 0.14 |
| 6 | Core Scientific | 5.75 Bn | 3.81 Bn | 70.04 Mn | 0.11 |
| 7 | Vnet | 1.75 Bn | 868.32 Mn | 74.45 Mn | 7.23 |
| 8 | Sify Technologies | 1.48 Bn | 1.48 Bn | 51.65 Mn | - |
| 9 | WhiteFiber | 736.82 Mn | 676.45 Mn | 18.88 Mn | 0.12 |
| 10 | Big Digital Energy | 33.61 Mn | 13.86 Mn | 1.61 Mn | 0.51 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 0.51 |
| Mar 31, 2026 | 0.58 |
| Dec 31, 2025 | 0.73 |
| Sep 30, 2025 | 0.98 |
| Jun 30, 2025 | 0.92 |
| Mar 31, 2025 | 0.91 |
| Dec 31, 2024 | 0.97 |
| Sep 30, 2024 | 0.92 |
| Jun 30, 2024 | 0.86 |
| Mar 31, 2024 | 0.72 |
| Dec 31, 2023 | 0.50 |
| Sep 30, 2023 | 0.48 |
| Jun 30, 2023 | 0.57 |
| Mar 31, 2023 | 0.58 |
| Dec 31, 2022 | 0.54 |
| Sep 30, 2022 | 0.47 |
| Jun 30, 2022 | 0.39 |
| Mar 31, 2022 | 0.36 |
| Dec 31, 2021 | 0.33 |
| Sep 30, 2021 | 0.33 |
Big Digital Energy Asset Utilization Ratio 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=asset-utilization-ratio&ticker=BGDE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "asset-utilization-ratio", "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=asset-utilization-ratio&ticker=BGDE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();