Pan American Silver (PAAS) Price to Earnings (2009 - 2026)
Pan American Silver's (PAAS) Price to Earnings stood at 12228.19 in Q3 2026, down 44.9% from 22184.53 a year earlier.
Analysis
Pan American Silver (PAAS) Price to Earnings (2009 - 2026) Analysis & Trends
For FY2025, Pan American Silver's Price to Earnings came in at 22.35, down 65.9% from FY2024.
- Across earlier years, Price to Earnings came in at 65.54 in FY2024 and 53.94 in FY2021 (+32.2%).
- The Q3 2026 figure is the lowest quarterly Price to Earnings since Q2 2025.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Rio Tinto | 170.99 Bn | 133.79 Bn | - |
| 2 | Southern Copper | 138.52 Bn | 113.25 Bn | 3.10 Bn |
| 3 | Rio Tinto | 135.90 Bn | 96.73 Bn | - |
| 4 | Newmont | 126.75 Bn | 91.89 Bn | 4.22 Bn |
| 5 | Ternium | 96.55 Bn | 64.81 Bn | 1.04 Bn |
| 6 | Agnico Eagle Mines | 96.18 Bn | 83.12 Bn | 2.15 Bn |
| 7 | Freeport-Mcmoran | 85.33 Bn | 69.37 Bn | 2.19 Bn |
| 8 | Barrick Mining | 69.13 Bn | 44.33 Bn | 2.90 Bn |
| 9 | Nucor | 55.83 Bn | 45.21 Bn | 2.03 Bn |
| 10 | Pan American Silver | 15.72 Bn | 9.93 Bn | 373,000.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 12,228.19 |
| Jun 30, 2026 | 13,675.83 |
| Mar 31, 2026 | 78.26 |
| Dec 31, 2025 | 47.20 |
| Sep 30, 2025 | 30.39 |
| Jun 30, 2025 | 14.97 |
| Mar 31, 2025 | 16.81 |
| Dec 31, 2024 | 16.31 |
| Sep 30, 2024 | 16.91 |
| Jun 30, 2024 | 32.41 |
| Mar 31, 2024 | 90.20 |
| Sep 30, 2022 | 40.49 |
| Jun 30, 2022 | 40.24 |
| Mar 31, 2022 | 33.02 |
| Dec 31, 2021 | 38.90 |
| Sep 30, 2021 | 16.88 |
| Jun 30, 2021 | 17.91 |
| Mar 31, 2021 | 22.19 |
| Dec 31, 2020 | 40.79 |
| Sep 30, 2020 | 40.40 |
API Access
Pan American Silver 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=PAAS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-earnings", "ticker": "PAAS", "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=PAAS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();