Pan American Silver (PAAS) EBIT (2009 - 2026)
Pan American Silver's EBIT came in at $497,000 for the quarter ended Jun 30, 2026, up 103.7% from $244,000 a year earlier but down 22.7% from the prior quarter.
Pan American Silver (PAAS) EBIT (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Pan American Silver reported EBIT of $1.9 million, up 116.1% year-over-year; for the year ended Dec 31, 2025, it came in at $1.23 billion, up 132.2% from the prior year.
- EBIT carries a five-year compound annual growth rate of 42.5% (years ended Dec 2020 to Dec 2025).
- Going back by year, EBIT was $531 million in the year ended Dec 31, 2024, $38.1 million in the year ended Dec 31, 2023, -$262.3 million in the year ended Dec 31, 2022 and $320.91 million in the year ended Dec 31, 2021 (+52.8%).
- The five-year range for quarterly EBIT is -$51.08 million (the quarter ended Sep 30, 2022) to $615.91 million (the quarter ended Sep 30, 2023).
- Year-over-year, EBIT has increased for six consecutive quarters, with growth averaging 154.4% over the last seven quarters.
- The fastest year-over-year change in EBIT over five years came in the quarter ended Mar 31, 2025 (growth of 558.0%), and the weakest in the quarter ended Sep 30, 2024 (a decline of 100.0%).
- Business Quant data shows PAAS's EBIT at $643,000 (quarter ended Mar 31, 2026), $512,000 (quarter ended Dec 31, 2025) and $249,700 (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) | EBIT (Qtr) |
|---|---|---|---|---|---|
| 1 | Rio Tinto | 179.45 Bn | 145.58 Bn | - | - |
| 2 | Southern Copper | 168.96 Bn | 147.82 Bn | 2.90 Bn | 2.62 Bn |
| 3 | Newmont | 123.37 Bn | 91.54 Bn | 4.03 Bn | 1.01 Bn |
| 4 | Ternium | 107.07 Bn | 72.12 Bn | 941.02 Mn | 528.41 Mn |
| 5 | Freeport-Mcmoran | 101.67 Bn | 97.82 Bn | 2.19 Bn | 2.00 Bn |
| 6 | Agnico Eagle Mines | 92.92 Bn | 92.92 Bn | 2.43 Bn | 3.80 Bn |
| 7 | Barrick Mining | 69.09 Bn | 53.83 Bn | 2.90 Bn | 2.73 Bn |
| 8 | Nucor | 53.61 Bn | 44.15 Bn | 2.03 Bn | 1.63 Bn |
| 9 | ArcelorMittal | 51.72 Bn | 32.74 Bn | - | 1.06 Bn |
| 10 | Pan American Silver | 19.47 Bn | 14.32 Bn | 457,000.00 | 497,000.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 497,000.00 |
| Mar 31, 2026 | 643,000.00 |
| Dec 31, 2025 | 512,000.00 |
| Sep 30, 2025 | 249,700.00 |
| Jun 30, 2025 | 244,000.00 |
| Mar 31, 2025 | 229,000.00 |
| Dec 31, 2024 | 255,000.00 |
| Sep 30, 2024 | 151,900.00 |
| Jun 30, 2024 | 89,400.00 |
| Mar 31, 2024 | 34,800.00 |
| Dec 31, 2023 | -26,800.00 |
| Sep 30, 2023 | 615.91 Mn |
| Jun 30, 2023 | -24,100.00 |
| Mar 31, 2023 | 27,500.00 |
| Dec 31, 2022 | -148,100.00 |
| Sep 30, 2022 | -51.08 Mn |
| Jun 30, 2022 | -153,800.00 |
| Mar 31, 2022 | 90,600.00 |
| Dec 31, 2021 | 52.70 Mn |
| Sep 30, 2021 | 101.15 Mn |
Pan American Silver EBIT 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=ebit&ticker=PAAS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebit", "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=ebit&ticker=PAAS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();