Big Digital Energy (BGDE) Capital Expenditures (2013 - 2026)
Big Digital Energy's (BGDE) quarterly Capital Expenditures came in at $31652.0 in Q1 2026, up 387.25% year-over-year from $6496.0 in Q1 2025, and down 60.01% quarter-over-quarter from $79144.0 in Q4 2025.
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Analysis
Big Digital Energy (BGDE) Capital Expenditures (2013 - 2026) Analysis & Trends
Big Digital Energy has disclosed Capital Expenditures across 10 years of filings, most recently posting $31652.0 for Q1 2026.
- In Q1 2026, Capital Expenditures rose 387.25% year-over-year to $31652.0; the TTM figure through Jun 2026 stood at $125969.0 (up 7.94% YoY), while the FY2025 annual figure was $148950.0, down 92.39% from the prior year.
- Capital Expenditures came in at $31652.0 for Q1 2026 at Big Digital Energy, down from $79144.0 in the prior quarter.
- In the past five years, Capital Expenditures ranged from a high of $16.0 million in Q3 2022 to a low of $6496.0 in Q1 2025.
- Average Capital Expenditures over 5 years is $3.4 million, with a median of $97359.0 recorded in 2023.
- Year-over-year, Capital Expenditures surged 399.76% in 2022 and tumbled 99.39% in 2024.
- Over 5 years, Capital Expenditures stood at $12.9 million in 2022, then sank by 99.24% to $97359.0 in 2023, then sank by 76.08% to $23292.0 in 2024, then soared by 239.79% to $79144.0 in 2025, then plunged by 60.01% to $31652.0 in 2026.
- Per Business Quant data, the three most recent Capital Expenditures figures were $31652.0 in Q1 2026, $79144.0 in Q4 2025, and $15173.0 in Q3 2025.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Capital Expenditures (Qtr) |
|---|---|---|---|---|---|
| 1 | Equinix | 100.78 Bn | 98.58 Bn | 1.40 Bn | 1.58 Bn |
| 2 | Terawulf | 8.49 Bn | 5.72 Bn | 32.37 Mn | 855.56 Mn |
| 3 | Applied Digital | 8.10 Bn | 6.08 Bn | 97.29 Mn | 1.29 Bn |
| 4 | Cipher Digital | 7.60 Bn | 3.60 Bn | 9.79 Mn | 410.30 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 | 565.02 Mn |
| 7 | Vnet | 1.75 Bn | 868.32 Mn | 74.45 Mn | -223.03 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
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 31,652.00 |
| Dec 31, 2025 | 79,144.00 |
| Sep 30, 2025 | 15,173.00 |
| Jun 30, 2025 | 48,137.00 |
| Mar 31, 2025 | 6,496.00 |
| Dec 31, 2024 | 23,292.00 |
| Sep 30, 2024 | 38,776.00 |
| Jun 30, 2024 | 1.88 Mn |
| Mar 31, 2024 | 19,360.00 |
| Dec 31, 2023 | 97,359.00 |
| Sep 30, 2023 | 402,894.00 |
| Jun 30, 2023 | 1.70 Mn |
| Mar 31, 2023 | 3.15 Mn |
| Dec 31, 2022 | 12.86 Mn |
| Sep 30, 2022 | 16.02 Mn |
| Jun 30, 2022 | 15.07 Mn |
| Mar 31, 2022 | 6.03 Mn |
| Dec 31, 2021 | 43.61 Mn |
| Sep 30, 2021 | 20.18 Mn |
| Jun 30, 2021 | -5.03 Mn |
API Access
Big Digital Energy Capital Expenditures 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=capital-expenditures&ticker=BGDE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "capital-expenditures", "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=capital-expenditures&ticker=BGDE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();