Big Digital Energy (BGDE) Operating Leases (2019 - 2026)
Big Digital Energy's (BGDE) quarterly Operating Leases came in at $826997.0 in Q2 2026, down 54.53% year-over-year from $1.8 million in Q2 2025, and down 39.44% quarter-over-quarter from $1.4 million in Q1 2026.
Big Digital Energy (BGDE) Operating Leases (2019 - 2026) Analysis & Trends
Big Digital Energy has disclosed Operating Leases across 8 years of filings, most recently posting $826997.0 for Q2 2026.
- In Q2 2026, Operating Leases fell 54.53% year-over-year to $826997.0; the TTM figure through Jun 2026 stood at $826997.0 (down 54.53% YoY), while the FY2025 annual figure was $1.7 million, down 31.92% from the prior year.
- Operating Leases came in at $826997.0 for Q2 2026 at Big Digital Energy, down from $1.4 million in the prior quarter.
- In the past five years, Operating Leases ranged from a high of $3.5 million in Q1 2022 to a low of $410165.0 in Q1 2024.
- Average Operating Leases over 5 years is $1.8 million, with a median of $1.6 million recorded in 2025.
- Year-over-year, Operating Leases soared 31269.71% in 2022 and sank 70.08% in 2024.
- Over 5 years, Operating Leases stood at $1.7 million in 2022, then plunged by 41.19% to $1.0 million in 2023, then jumped by 148.37% to $2.5 million in 2024, then tumbled by 31.92% to $1.7 million in 2025, then sank by 51.87% to $826997.0 in 2026.
- Per Business Quant data, the three most recent Operating Leases figures were $826997.0 in Q2 2026, $1.4 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 | 826,997.00 |
| Mar 31, 2026 | 1.37 Mn |
| Dec 31, 2025 | 1.72 Mn |
| Sep 30, 2025 | 1.52 Mn |
| Jun 30, 2025 | 1.82 Mn |
| Mar 31, 2025 | 2.25 Mn |
| Dec 31, 2024 | 2.52 Mn |
| Sep 30, 2024 | 2.83 Mn |
| Jun 30, 2024 | 3.00 Mn |
| Mar 31, 2024 | 410,165.00 |
| Dec 31, 2023 | 1.02 Mn |
| Sep 30, 2023 | 1.09 Mn |
| Jun 30, 2023 | 1.48 Mn |
| Mar 31, 2023 | 1.37 Mn |
| Dec 31, 2022 | 1.73 Mn |
| Sep 30, 2022 | 1.28 Mn |
| Jun 30, 2022 | 3.22 Mn |
| Mar 31, 2022 | 3.52 Mn |
| Dec 31, 2021 | 2.96 Mn |
| Mar 31, 2021 | 11,223.00 |
Big Digital Energy Operating Leases 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=operating-leases&ticker=BGDE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-leases", "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=operating-leases&ticker=BGDE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();