Big Digital Energy (BGDE) Price to Book (2021 - 2026)
Big Digital Energy's (BGDE) quarterly Price to Book came in at 4.05 in Q2 2026, up 121.32% year-over-year from 1.83 in Q2 2025, and up 85.17% quarter-over-quarter from 2.19 in Q1 2026.
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Analysis
Big Digital Energy (BGDE) Price to Book (2021 - 2026) Analysis & Trends
Big Digital Energy has disclosed Price to Book across 6 years of filings, most recently posting 4.05 for Q2 2026.
- In Q2 2026, Price to Book rose 121.32% year-over-year to 4.05; the TTM figure through Jun 2026 stood at 4.05 (up 121.32% YoY), while the FY2025 annual figure was 1.59, up 98.36% from the prior year.
- Price to Book came in at 4.05 for Q2 2026 at Big Digital Energy, up from 2.19 in the prior quarter.
- In the past five years, Price to Book ranged from a high of 422.37 in Q1 2022 to a low of 298.1 in Q3 2024.
- Average Price to Book over 5 years is 12.56, with a median of 4.73 recorded in 2023.
- The largest YoY upside for Price to Book was 912.02% in 2024 against a maximum downside of 6677.25% in 2024.
- Over 5 years, Price to Book stood at 4.94 in 2022, then jumped by 610.05% to 35.06 in 2023, then tumbled by 375.65% to 96.64 in 2024, then jumped by 98.36% to 1.59 in 2025, then jumped by 354.88% to 4.05 in 2026.
- Per Business Quant data, the three most recent Price to Book figures were 4.05 in Q2 2026, 2.19 in Q1 2026, and 1.59 in Q4 2025.
Peer Set
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
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 4.05 |
| Mar 31, 2026 | 2.19 |
| Dec 31, 2025 | -1.59 |
| Sep 30, 2025 | -18.68 |
| Jun 30, 2025 | -18.99 |
| Mar 31, 2025 | -129.51 |
| Dec 31, 2024 | -96.64 |
| Sep 30, 2024 | -298.10 |
| Jun 30, 2024 | 113.76 |
| Mar 31, 2024 | 39.14 |
| Dec 31, 2023 | 35.06 |
| Sep 30, 2023 | 4.53 |
| Jun 30, 2023 | 11.24 |
| Mar 31, 2023 | 13.13 |
| Dec 31, 2022 | 4.94 |
| Sep 30, 2022 | 45.35 |
| Jun 30, 2022 | 93.77 |
| Mar 31, 2022 | 422.37 |
| Dec 31, 2021 | 390.95 |
| Sep 30, 2021 | 747.13 |
API Access
Big Digital Energy Price to Book 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=price-to-book&ticker=BGDE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-book", "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=price-to-book&ticker=BGDE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();