Emera (EMA) Price to Book (2010 - 2025)
Emera's (EMA) Price to Book came in at 1.52 for Q4 2025, up 27.2% from 1.19 a year earlier.
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Analysis
Emera (EMA) Price to Book (2010 - 2025) Analysis & Trends
Since Q2 2010, Emera has reported Price to Book for 34 quarters.
- In prior years, Emera's Price to Book was 1.19 in FY2024 (+1.6%), 1.18 in FY2023 (-4.6%), 1.23 in FY2022 (-24.8%) and 1.64 in FY2021 (+11.0%).
- The Q4 2025 figure stands as the highest quarterly Price to Book since Q1 2022.
- The strongest year-over-year quarter for Price to Book in the past five years was Q4 2025, with growth of 27.2%; the weakest was Q4 2022, with a decline of 24.8%.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Wisconsin Electric Power | 99,216.00 Bn | 99,215.99 Bn | 911.30 Mn |
| 2 | Enel Chile | 301.57 Bn | 301.57 Bn | 1.33 Bn |
| 3 | Nextera Energy | 180.93 Bn | 179.04 Bn | - |
| 4 | Southern | 109.04 Bn | 101.70 Bn | 7.31 Bn |
| 5 | Duke Energy | 100.59 Bn | 99.24 Bn | 6.37 Bn |
| 6 | National Grid | 86.94 Bn | 59.27 Bn | - |
| 7 | American Electric Power | 69.61 Bn | 68.67 Bn | 4.75 Bn |
| 8 | Entergy | 53.37 Bn | 42.94 Bn | - |
| 9 | Sempra | 51.29 Bn | 84.11 Bn | - |
| 10 | Emera | 15.37 Bn | 15.13 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 1.52 |
| Dec 31, 2024 | 1.19 |
| Dec 31, 2023 | 1.18 |
| Dec 31, 2022 | 1.23 |
| Mar 31, 2022 | 1.57 |
| Dec 31, 2021 | 1.64 |
| Sep 30, 2021 | 1.48 |
| Jun 30, 2021 | 1.50 |
| Mar 31, 2021 | 1.50 |
| Dec 31, 2020 | 1.48 |
| Sep 30, 2020 | 1.44 |
| Jun 30, 2020 | 1.38 |
| Mar 31, 2020 | 1.40 |
| Dec 31, 2019 | 1.58 |
| Sep 30, 2019 | 1.63 |
| Jun 30, 2019 | 1.49 |
| Mar 31, 2019 | 1.39 |
| Dec 31, 2018 | 1.22 |
| Sep 30, 2018 | 1.20 |
| Jun 30, 2018 | 1.24 |
API Access
Emera 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=EMA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-book", "ticker": "EMA", "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=EMA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();