Pan American Silver (PAAS) EBITDA (2009 - 2026)
Pan American Silver's EBITDA came in at $120.5 million for the quarter ended Jun 30, 2026, down 2.2% from $123.24 million a year earlier but up 6.0% from the prior quarter.
Pan American Silver (PAAS) EBITDA (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Pan American Silver reported EBITDA of $355.54 million, down 4.8% year-over-year; for the year ended Dec 31, 2025, it was $1.73 billion, up 57.0% from the prior year.
- EBITDA has increased in each of the last three years, with a five-year compound annual growth rate of 29.1% (years ended Dec 2020 to Dec 2025).
- Going back by year, EBITDA was $1.1 billion in the year ended Dec 31, 2024 (+111.0%), $522.3 million in the year ended Dec 31, 2023 (+872.6%), $53.7 million in the year ended Dec 31, 2022 (-91.4%) and $623.87 million in the year ended Dec 31, 2021 (+29.3%).
- The five-year range for quarterly EBITDA is -$68,900 (the quarter ended Dec 31, 2022) to $755.71 million (the quarter ended Sep 30, 2023).
- Year-over-year, EBITDA increased in two of the last eight quarters, with growth averaging 27.7%.
- The fastest year-over-year change in EBITDA over five years came in the quarter ended Dec 31, 2024 (growth of 280.9%), and the weakest in the quarter ended Sep 30, 2022 (a decline of 85.4%).
- Business Quant data shows PAAS's EBITDA at $113.64 million (quarter ended Mar 31, 2026), $647,000 (quarter ended Dec 31, 2025) and $120.75 million (quarter ended Sep 30, 2025) in the three quarters before the quarter ended Jun 30, 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Rio Tinto | 164.02 Bn | 133.06 Bn | - | - |
| 2 | Southern Copper | 154.49 Bn | 133.28 Bn | 2.90 Bn | 2.85 Bn |
| 3 | Rio Tinto | 135.87 Bn | 96.37 Bn | - | - |
| 4 | Newmont | 115.72 Bn | 80.86 Bn | 4.22 Bn | 1.65 Bn |
| 5 | Freeport-Mcmoran | 93.79 Bn | 77.83 Bn | 2.19 Bn | 2.53 Bn |
| 6 | Agnico Eagle Mines | 88.25 Bn | 77.88 Bn | 2.43 Bn | 2.73 Bn |
| 7 | Barrick Mining | 65.26 Bn | 40.46 Bn | 2.90 Bn | 3.29 Bn |
| 8 | Nucor | 58.78 Bn | 48.16 Bn | 2.03 Bn | 2.01 Bn |
| 9 | ArcelorMittal | 45.28 Bn | 24.30 Bn | - | 1.84 Bn |
| 10 | Pan American Silver | 15.38 Bn | 10.23 Bn | 457,000.00 | 120.50 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 120.50 Mn |
| Mar 31, 2026 | 113.64 Mn |
| Dec 31, 2025 | 647,000.00 |
| Sep 30, 2025 | 120.75 Mn |
| Jun 30, 2025 | 123.24 Mn |
| Mar 31, 2025 | 119.23 Mn |
| Dec 31, 2024 | 443,000.00 |
| Sep 30, 2024 | 130.35 Mn |
| Jun 30, 2024 | 128.49 Mn |
| Mar 31, 2024 | 124.43 Mn |
| Dec 31, 2023 | 116,300.00 |
| Sep 30, 2023 | 139.84 Mn |
| Jun 30, 2023 | 149.98 Mn |
| Mar 31, 2023 | 73.13 Mn |
| Dec 31, 2022 | -68,900.00 |
| Sep 30, 2022 | 77.85 Mn |
| Jun 30, 2022 | 74.15 Mn |
| Mar 31, 2022 | 84.59 Mn |
| Dec 31, 2021 | 128.84 Mn |
| Sep 30, 2021 | 184.33 Mn |
Pan American Silver 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=ebitda&ticker=PAAS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=ebitda&ticker=PAAS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();