Fortis (FTS) Price to Earnings (2015 - 2026)
Fortis' Price to Earnings was 23.20 in the quarter ended Jun 30, 2026, up 18.4% from 19.59 a year earlier and up 1.8% from the prior quarter.
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Analysis
Fortis (FTS) Price to Earnings (2015 - 2026) Analysis & Trends
For the year ended Dec 31, 2025, Price to Earnings at Fortis came in at 21.48, up 19.0% from the prior year.
- In earlier years, Price to Earnings was 18.05 in the year ended Dec 31, 2024 (-0.1%), 18.08 in the year ended Dec 31, 2023 (-4.2%), 18.87 in the year ended Dec 31, 2022 (-19.6%) and 23.47 in the year ended Dec 31, 2021 (+14.2%).
- The figure for the quarter ended Jun 30, 2026 marks the highest quarterly Price to Earnings since the quarter ended Sep 30, 2020.
- Compared with a year earlier, Price to Earnings has increased for six straight quarters, with growth averaging 14.2% over the last eight quarters.
- The best year-over-year quarter for Price to Earnings over five years was the quarter ended Dec 31, 2025 (growth of 21.7%); the worst was the quarter ended Sep 30, 2021 (a decline of 75.2%).
- Per Business Quant data, FTS's Price to Earnings in the three quarters before the quarter ended Jun 30, 2026 was 22.78 (quarter ended Mar 31, 2026), 21.52 (quarter ended Dec 31, 2025) and 21.01 (quarter ended Sep 30, 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Enel Chile | 287.73 Bn | 287.73 Bn | 890.00 Mn |
| 2 | Nextera Energy | 160.25 Bn | 161.15 Bn | - |
| 3 | Southern | 96.31 Bn | 87.36 Bn | 5.92 Bn |
| 4 | Duke Energy | 88.79 Bn | 87.40 Bn | 6.74 Bn |
| 5 | National Grid | 79.16 Bn | 60.69 Bn | - |
| 6 | American Electric Power | 65.09 Bn | 63.47 Bn | 3.84 Bn |
| 7 | Dominion Energy | 53.95 Bn | 56.63 Bn | - |
| 8 | Sempra | 51.22 Bn | 50.35 Bn | 2.89 Bn |
| 9 | Entergy | 47.09 Bn | 36.28 Bn | - |
| 10 | Fortis | 26.81 Bn | 27.29 Bn | 1.60 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 23.20 |
| Mar 31, 2026 | 22.78 |
| Dec 31, 2025 | 21.52 |
| Sep 30, 2025 | 21.01 |
| Jun 30, 2025 | 19.59 |
| Mar 31, 2025 | 19.27 |
| Dec 31, 2024 | 17.68 |
| Sep 30, 2024 | 19.05 |
| Jun 30, 2024 | 16.48 |
| Mar 31, 2024 | 17.10 |
| Dec 31, 2023 | 18.08 |
| Sep 30, 2023 | 16.52 |
| Jun 30, 2023 | 19.51 |
| Mar 31, 2023 | 19.19 |
| Dec 31, 2022 | 18.90 |
| Sep 30, 2022 | 17.87 |
| Jun 30, 2022 | 20.56 |
| Mar 31, 2022 | 21.87 |
| Dec 31, 2021 | 21.25 |
| Sep 30, 2021 | 19.30 |
API Access
Fortis Price to Earnings 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-earnings&ticker=FTS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-earnings", "ticker": "FTS", "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-earnings&ticker=FTS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();