Transalta (TAC) Price to Earnings (2009 - 2026)
Transalta's (TAC) Price to Earnings came in at 101.63 for Q3 2026.
Analysis
Transalta (TAC) Price to Earnings (2009 - 2026) Analysis & Trends
For FY2024, Transalta's Price to Earnings stood at 32.56, up 509.3% from FY2023.
- In prior years, Transalta's Price to Earnings was 5.34 in FY2023 (-99.3%) and 782.20 in FY2022.
- The Q3 2026 figure stands as the highest quarterly Price to Earnings since Q4 2018.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Constellation Energy | 89.90 Bn | 80.80 Bn | - |
| 2 | Vistra | 41.95 Bn | 35.14 Bn | - |
| 3 | AXIA Energia | 24.73 Bn | 11.71 Bn | 2.59 Bn |
| 4 | Nrg Energy | 18.65 Bn | 12.87 Bn | 2.01 Bn |
| 5 | Talen Energy | 16.12 Bn | 13.84 Bn | - |
| 6 | Enlight Renewable Energy | 8.45 Bn | 4.75 Bn | 124.81 Mn |
| 7 | Brookfield Renewable Partners | 7.95 Bn | -20.69 Bn | - |
| 8 | Ormat Technologies | 5.65 Bn | 3.99 Bn | 77.38 Mn |
| 9 | Oklo | 4.15 Bn | -2.68 Bn | - |
| 10 | Transalta | 3.87 Bn | 2.77 Bn | 293.59 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 101.63 |
| Dec 31, 2024 | 36.87 |
| Sep 30, 2024 | 32.28 |
| Jun 30, 2024 | 5.26 |
| Mar 31, 2024 | 4.72 |
| Dec 31, 2023 | 5.42 |
| Sep 30, 2023 | 5.61 |
| Jun 30, 2023 | 14.36 |
| Mar 31, 2023 | 35.60 |
| Sep 30, 2022 | 34.69 |
| Jun 30, 2020 | 25.10 |
| Mar 31, 2020 | 13.36 |
| Dec 31, 2019 | 49.93 |
| Sep 30, 2019 | 20.72 |
| Dec 31, 2018 | 303.95 |
| Jun 30, 2018 | 45.69 |
| Mar 31, 2018 | 14.08 |
| Dec 31, 2017 | 20.36 |
| Sep 30, 2017 | 22.77 |
| Jun 30, 2017 | 7.82 |
API Access
Transalta 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=TAC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-earnings", "ticker": "TAC", "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=TAC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();