Big Digital Energy (BGDE) Selling, General & Administrative (2011 - 2026)
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Analysis
Big Digital Energy (BGDE) Selling, General & Administrative (2011 - 2026) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Equinix | 100.78 Bn | 98.58 Bn | 1.40 Bn | 462.00 Mn |
| 2 | Terawulf | 8.49 Bn | 5.72 Bn | 32.37 Mn | 112.41 Mn |
| 3 | Applied Digital | 8.10 Bn | 6.08 Bn | 97.29 Mn | 165.28 Mn |
| 4 | Cipher Digital | 7.60 Bn | 3.60 Bn | 9.79 Mn | 16.48 Mn |
| 5 | GDS Holdings | 6.77 Bn | 4.71 Bn | 97.89 Mn | -27.38 Mn |
| 6 | Core Scientific | 5.75 Bn | 3.81 Bn | 70.04 Mn | 49.39 Mn |
| 7 | Vnet | 1.75 Bn | 868.32 Mn | 74.45 Mn | -24.31 Mn |
| 8 | Sify Technologies | 1.48 Bn | 1.48 Bn | 51.65 Mn | -20.06 Mn |
| 9 | WhiteFiber | 736.82 Mn | 676.45 Mn | 18.88 Mn | 14.81 Mn |
| 10 | Big Digital Energy | 33.61 Mn | 13.86 Mn | 1.61 Mn | 6.03 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 6.03 Mn |
| Mar 31, 2026 | 7.62 Mn |
| Dec 31, 2025 | 5.11 Mn |
| Sep 30, 2025 | 5.84 Mn |
| Jun 30, 2025 | 5.93 Mn |
| Mar 31, 2025 | 5.78 Mn |
| Dec 31, 2024 | 5.21 Mn |
| Sep 30, 2024 | 6.00 Mn |
| Jun 30, 2024 | 3.64 Mn |
| Mar 31, 2024 | 3.46 Mn |
| Dec 31, 2023 | 4.28 Mn |
| Sep 30, 2023 | 3.66 Mn |
| Jun 30, 2023 | 6.27 Mn |
| Mar 31, 2023 | 4.98 Mn |
| Dec 31, 2022 | 4.97 Mn |
| Sep 30, 2022 | 5.00 Mn |
| Jun 30, 2022 | 9.43 Mn |
| Mar 31, 2022 | 6.48 Mn |
| Dec 31, 2021 | 5.80 Mn |
| Sep 30, 2021 | 5.15 Mn |
API Access
Big Digital Energy Selling, General & Administrative 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=selling-general-and-administrative&ticker=BGDE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=BGDE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();