Gentor Resources (GNTOF) Price to Earnings (2016 - 2026)
Gentor Resources' (GNTOF) Price to Earnings stood at 1.47 in Q2 2026, up 2.6% from the prior quarter.
Analysis
Gentor Resources (GNTOF) Price to Earnings (2016 - 2026) Analysis & Trends
For FY2023, Gentor Resources' Price to Earnings came in at 35.06.
- Across earlier years, Price to Earnings came in at 110.14 in FY2021 and 3.95 in FY2019.
- The Q2 2026 figure is the highest quarterly Price to Earnings since Q3 2024.
- Peak year-over-year performance for Price to Earnings in the last five years was growth of 586.8% in Q2 2024, against a decline of 88.0% in Q2 2023 at the low end.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Rio Tinto | 193.68 Bn | 159.81 Bn | - |
| 2 | Southern Copper | 171.36 Bn | 150.22 Bn | 2.90 Bn |
| 3 | Newmont | 121.76 Bn | 89.94 Bn | 4.03 Bn |
| 4 | Ternium | 113.51 Bn | 78.56 Bn | 941.02 Mn |
| 5 | Freeport-Mcmoran | 103.45 Bn | 99.60 Bn | 2.19 Bn |
| 6 | Agnico Eagle Mines | 91.92 Bn | 91.92 Bn | 2.43 Bn |
| 7 | Barrick Mining | 67.42 Bn | 52.16 Bn | 2.90 Bn |
| 8 | Nucor | 54.54 Bn | 45.08 Bn | 2.03 Bn |
| 9 | ArcelorMittal | 49.09 Bn | 30.12 Bn | - |
| 10 | Gentor Resources | 778,134.82 | 778,134.82 | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.47 |
| Mar 31, 2026 | 1.43 |
| Sep 30, 2024 | 30.94 |
| Jun 30, 2024 | 39.49 |
| Mar 31, 2024 | 10.22 |
| Dec 31, 2023 | 9.69 |
| Sep 30, 2023 | 6.16 |
| Jun 30, 2023 | 5.75 |
| Mar 31, 2023 | 47.20 |
| Dec 31, 2022 | 43.30 |
| Sep 30, 2022 | 43.54 |
| Jun 30, 2022 | 48.02 |
| Mar 31, 2022 | 29.31 |
| Dec 31, 2021 | 6.59 |
| Sep 30, 2021 | 0.04 |
| Jun 30, 2021 | 149.78 |
| Mar 31, 2021 | 107.01 |
| Jun 30, 2020 | 28.76 |
| Mar 31, 2017 | 0.07 |
| Dec 31, 2016 | 0.04 |
API Access
Gentor Resources 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=GNTOF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-earnings", "ticker": "GNTOF", "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=GNTOF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();