Pan American Silver (PAAS) EV to EBITDA (2009 - 2026)
Pan American Silver's EV to EBITDA came in at 48.74 for the quarter ended Jun 30, 2026, up 96.8% from 24.76 a year earlier but down 19.0% from the prior quarter.
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Analysis
Pan American Silver (PAAS) EV to EBITDA (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Pan American Silver reported EV to EBITDA of 38.67, up 105.0% year-over-year; for the year ended Dec 31, 2025, it came in at 11.93, up 102.6% from the prior year.
- Going back by year, EV to EBITDA was 5.89 in the year ended Dec 31, 2024 (-44.7%), 10.66 in the year ended Dec 31, 2023 (-82.7%), 61.57 in the year ended Dec 31, 2022 (+680.0%) and 7.89 in the year ended Dec 31, 2021 (-45.4%).
- The five-year range for quarterly EV to EBITDA is 2.82 (the quarter ended Sep 30, 2023) to 60.15 (the quarter ended Mar 31, 2026).
- Year-over-year, EV to EBITDA has increased for eight consecutive quarters, with growth averaging 245.0% over the last eight quarters.
- The fastest year-over-year change in EV to EBITDA over five years came in the quarter ended Sep 30, 2024 (growth of 564.0%), and the weakest in the quarter ended Mar 31, 2024 (a decline of 70.0%).
- Business Quant data shows PAAS's EV to EBITDA at 60.15 (quarter ended Mar 31, 2026), 56.74 (quarter ended Dec 31, 2025) and 36.29 (quarter ended Sep 30, 2025) in the three quarters before the quarter ended Jun 30, 2026.
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 | Pan American Silver | 19.20 Bn | 14.05 Bn | 457,000.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 48.74 |
| Mar 31, 2026 | 60.15 |
| Dec 31, 2025 | 56.74 |
| Sep 30, 2025 | 36.29 |
| Jun 30, 2025 | 24.76 |
| Mar 31, 2025 | 22.43 |
| Dec 31, 2024 | 16.92 |
| Sep 30, 2024 | 18.74 |
| Jun 30, 2024 | 6.86 |
| Mar 31, 2024 | 5.06 |
| Dec 31, 2023 | 5.69 |
| Sep 30, 2023 | 2.82 |
| Jun 30, 2023 | 12.82 |
| Mar 31, 2023 | 16.86 |
| Dec 31, 2022 | 17.82 |
| Sep 30, 2022 | 8.36 |
| Jun 30, 2022 | 8.27 |
| Mar 31, 2022 | 9.68 |
| Dec 31, 2021 | 7.89 |
| Sep 30, 2021 | 6.48 |
API Access
Pan American Silver EV to EBITDA 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=ev-to-ebitda&ticker=PAAS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-ebitda", "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=ev-to-ebitda&ticker=PAAS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();