Emera Inc (EMA) Price to Book (2010 - 2025)
Emera's (EMA) Price to Book came in at 51259.16 for the quarter ended Dec 31, 2025, up 30.5% from 39288.02 a year earlier and up 44.1% from the prior quarter.
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Analysis
Emera Inc (EMA) Price to Book (2010 - 2025) Analysis & Trends
For the year ended Dec 31, 2025, Emera's Price to Book stood at 51356.91, up 33.4% from the prior year.
- In prior years, Emera's Price to Book was 38505.36 in the year ended Dec 31, 2024 (-8.7%), 42180.02 in the year ended Dec 31, 2023 (-3.6%), 43761.21 in the year ended Dec 31, 2022 (-29.1%) and 61697.09 in the year ended Dec 31, 2021 (-92.1%).
- The figure for the quarter ended Dec 31, 2025 stands as the highest quarterly Price to Book since the quarter ended Sep 30, 2024.
- On a year-over-year basis, Price to Book increased in 1 of the last six quarters, with an average decline of 46.7%.
- The strongest year-over-year quarter for Price to Book in the past five years was the quarter ended Dec 31, 2025, with growth of 30.5%; the weakest was the quarter ended Mar 31, 2025, with a decline of 95.8%.
- According to Business Quant data, Price to Book for the three prior quarters was 35568.08 (quarter ended Sep 30, 2025), 34807.05 (quarter ended Jun 30, 2025) and 30626.50 (quarter ended Mar 31, 2025).
Peer Set
Peer Comparison
Historic Data
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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 Inc 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();