Big Digital Energy (BGDE) Price to Book (2012 - 2026)
Big Digital Energy's (BGDE) Price to Book came in at 4.05 for Q2 2026, up 85.2% from the prior quarter.
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Analysis
Big Digital Energy (BGDE) Price to Book (2012 - 2026) Analysis & Trends
For FY2023, Big Digital Energy's Price to Book stood at 35.06, up 610.1% from FY2022.
- In prior years, Big Digital Energy's Price to Book was 4.94 in FY2022 (-98.7%), 390.95 in FY2021 (-29.6%), 555.30 in FY2020 (+70.4%) and 325.85 in FY2019 (-98.8%).
- The Q2 2026 figure stands as the highest quarterly Price to Book since Q2 2024.
- The strongest year-over-year quarter for Price to Book in the past five years was Q2 2024, with growth of 912.0%; the weakest was Q4 2022, with a decline of 98.7%.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Microsoft | 3,950.63 Bn | 3,873.79 Bn | 60.48 Bn |
| 2 | International Business Machines | 223.72 Bn | 174.53 Bn | 9.91 Bn |
| 3 | Cloudflare | 102.74 Bn | 86.26 Bn | 499.52 Mn |
| 4 | Equinix | 95.91 Bn | 84.48 Bn | 1.40 Bn |
| 5 | Nebius | 39.81 Bn | 13.24 Bn | 448.70 Mn |
| 6 | CoreWeave | 32.23 Bn | 19.33 Bn | 1.70 Bn |
| 7 | Verisign | 27.88 Bn | 25.09 Bn | 384.60 Mn |
| 8 | Nutanix | 18.05 Bn | 9.74 Bn | 651.35 Mn |
| 9 | GoDaddy | 14.07 Bn | 9.65 Bn | 828.20 Mn |
| 10 | Big Digital Energy | 25.00 Mn | -9.29 Mn | 1.61 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 4.05 |
| Mar 31, 2026 | 2.19 |
| Jun 30, 2024 | 113.76 |
| Mar 31, 2024 | 39.14 |
| Dec 31, 2023 | 35.06 |
| Sep 30, 2023 | 4.54 |
| Jun 30, 2023 | 11.24 |
| Mar 31, 2023 | 13.13 |
| Dec 31, 2022 | 4.94 |
| Sep 30, 2022 | 45.19 |
| Jun 30, 2022 | 93.77 |
| Mar 31, 2022 | 422.37 |
| Dec 31, 2021 | 390.95 |
| Sep 30, 2021 | 747.13 |
| Jun 30, 2021 | 1,669.37 |
| Mar 31, 2021 | 1,949.81 |
| Dec 31, 2020 | 555.30 |
| Sep 30, 2020 | 621.75 |
| Jun 30, 2020 | 658.64 |
| Mar 31, 2020 | 413.40 |
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();