E-Power (EPOW) Price to Book (2021 - 2025)
E-Power's (EPOW) Price to Book was 0.10 for the quarter ended Dec 31, 2025, up 187.1% from 0.03 a year earlier.
Analysis
E-Power (EPOW) Price to Book (2021 - 2025) Analysis & Trends
Dating back to the quarter ended Jun 30, 2021, E-Power's Price to Book record includes 10 quarters.
- By year, Price to Book came in at 0.03 in the year ended Dec 31, 2024 (-67.6%), 0.10 in the year ended Dec 31, 2023 (+56.1%), 0.07 in the year ended Dec 31, 2022 (+229.1%) and 0.02 in the year ended Dec 31, 2021.
- The figure for the quarter ended Dec 31, 2025 ranks as the highest quarterly Price to Book since the quarter ended Dec 31, 2023.
- Year over year, Price to Book gained in two of the last four quarters, with growth averaging 30.3%.
- The high point for year-over-year Price to Book in five years was the quarter ended Dec 31, 2022 (growth of 229.1%); the low point was the quarter ended Jun 30, 2024 (a decline of 72.9%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Rio Tinto | 181.90 Bn | 148.03 Bn | - |
| 2 | Southern Copper | 169.19 Bn | 148.06 Bn | 2.90 Bn |
| 3 | Newmont | 121.55 Bn | 89.73 Bn | 4.03 Bn |
| 4 | Ternium | 108.92 Bn | 73.97 Bn | 941.02 Mn |
| 5 | Freeport-Mcmoran | 100.46 Bn | 96.62 Bn | 2.19 Bn |
| 6 | Agnico Eagle Mines | 91.62 Bn | 91.62 Bn | 2.43 Bn |
| 7 | Barrick Mining | 68.12 Bn | 52.86 Bn | 2.90 Bn |
| 8 | Nucor | 53.04 Bn | 43.58 Bn | 2.03 Bn |
| 9 | ArcelorMittal | 50.74 Bn | 31.77 Bn | - |
| 10 | E-Power | 6.13 Mn | -30.26 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 0.10 |
| Jun 30, 2025 | 0.04 |
| Dec 31, 2024 | 0.03 |
| Jun 30, 2024 | 0.02 |
| Dec 31, 2023 | 0.10 |
| Jun 30, 2023 | 0.08 |
| Dec 31, 2022 | 0.07 |
| Jun 30, 2022 | 0.03 |
| Dec 31, 2021 | 0.02 |
| Jun 30, 2021 | 0.06 |
API Access
E-Power 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=EPOW&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-book", "ticker": "EPOW", "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=EPOW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();