Enertopia (ENRT) Price to Book (2011 - 2026)
Enertopia's (ENRT) Price to Book stood at 23.02 in fiscal Q3 2026 (quarter ended May 31, 2026), up 287.6% from the prior quarter.
Analysis
Enertopia (ENRT) Price to Book (2011 - 2026) Analysis & Trends
For FY2024 (ended Aug 31, 2024), Enertopia's Price to Book came in at 1108.45.
- Across earlier fiscal years, Price to Book came in at 66.57 in FY2023 (+27.7%) and 52.14 in FY2022.
- The fiscal Q3 2026 figure is the highest quarterly Price to Book since fiscal Q4 2024.
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 | Enertopia | 516,969.71 | 515,693.71 | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| May 31, 2026 | 23.02 |
| Feb 28, 2026 | 5.94 |
| Aug 31, 2024 | 1,108.45 |
| May 31, 2024 | 223.66 |
| Feb 29, 2024 | 119.27 |
| Nov 30, 2023 | 105.82 |
| Aug 31, 2023 | 66.57 |
| May 31, 2023 | 57.45 |
| Feb 28, 2023 | 58.49 |
| Nov 30, 2022 | 50.23 |
| Aug 31, 2022 | 52.14 |
| May 31, 2022 | 39.27 |
| Nov 30, 2021 | 4,297.00 |
| May 31, 2021 | 3,263.07 |
| Feb 28, 2021 | 2,610.05 |
| Aug 31, 2015 | 887.91 |
| Aug 31, 2014 | 90.85 |
| May 31, 2014 | 56.81 |
| Feb 28, 2014 | 67.85 |
| Nov 30, 2013 | 5,856.87 |
API Access
Enertopia 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=ENRT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-book", "ticker": "ENRT", "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=ENRT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();