Pan American Silver (PAAS) Assets (2009 - 2026)
Pan American Silver's Assets came in at $10.16 billion for the quarter ended Jun 30, 2026, up 38.0% from $7.36 billion a year earlier and up 0.2% from the prior quarter.
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Analysis
Pan American Silver (PAAS) Assets (2009 - 2026) Analysis & Trends
As of Dec 31, 2025, Pan American Silver's Assets was $9.74 billion, up 35.2% from the prior year.
- Assets carries a five-year compound annual growth rate of 23.2% (years ended Dec 2020 to Dec 2025).
- Going back by year, Assets was $7.2 billion in the year ended Dec 31, 2024 (-0.1%), $7.21 billion in the year ended Dec 31, 2023 (+122.0%), $3.25 billion in the year ended Dec 31, 2022 (-7.7%) and $3.52 billion in the year ended Dec 31, 2021 (+2.5%).
- The figure for the quarter ended Jun 30, 2026 represents the highest quarterly Assets in data going back to the quarter ended Mar 31, 2009.
- Year-over-year, Assets has increased for six consecutive quarters, with growth averaging 17.9% over the last eight quarters.
- The fastest year-over-year change in Assets over five years came in the quarter ended Jun 30, 2023 (growth of 169.7%), and the weakest in the quarter ended Jun 30, 2024 (a decline of 21.4%).
- Business Quant data shows PAAS's Assets at $10.13 billion (quarter ended Mar 31, 2026), $9.74 billion (quarter ended Dec 31, 2025) and $9.15 billion (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) | Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Rio Tinto | 179.45 Bn | 145.58 Bn | - | 133.50 Bn |
| 2 | Southern Copper | 168.96 Bn | 147.82 Bn | 2.90 Bn | 24.13 Bn |
| 3 | Newmont | 123.37 Bn | 91.54 Bn | 4.03 Bn | 57.64 Bn |
| 4 | Ternium | 107.07 Bn | 72.12 Bn | 941.02 Mn | 24.55 Bn |
| 5 | Freeport-Mcmoran | 101.67 Bn | 97.82 Bn | 2.19 Bn | 59.73 Bn |
| 6 | Agnico Eagle Mines | 92.92 Bn | 92.92 Bn | 2.43 Bn | 37.80 Bn |
| 7 | Barrick Mining | 69.09 Bn | 53.83 Bn | 2.90 Bn | 52.35 Bn |
| 8 | Nucor | 53.61 Bn | 44.15 Bn | 2.03 Bn | 36.95 Bn |
| 9 | ArcelorMittal | 51.72 Bn | 32.74 Bn | - | 99.15 Bn |
| 10 | Pan American Silver | 19.47 Bn | 14.32 Bn | 457,000.00 | 10.16 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 10.16 Bn |
| Mar 31, 2026 | 10.13 Bn |
| Dec 31, 2025 | 9.74 Bn |
| Sep 30, 2025 | 9.15 Bn |
| Jun 30, 2025 | 7.36 Bn |
| Mar 31, 2025 | 7.21 Bn |
| Dec 31, 2024 | 7.20 Bn |
| Sep 30, 2024 | 7.15 Bn |
| Jun 30, 2024 | 7.04 Bn |
| Mar 31, 2024 | 7.08 Bn |
| Dec 31, 2023 | 7.21 Bn |
| Sep 30, 2023 | 7.53 Bn |
| Jun 30, 2023 | 8.96 Bn |
| Mar 31, 2023 | 3.31 Bn |
| Dec 31, 2022 | 3.25 Bn |
| Sep 30, 2022 | 8.47 Bn |
| Jun 30, 2022 | 3.32 Bn |
| Mar 31, 2022 | 3.54 Bn |
| Dec 31, 2021 | 3.52 Bn |
| Sep 30, 2021 | 3.48 Bn |
API Access
Pan American Silver Assets 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=assets&ticker=PAAS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "assets", "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=assets&ticker=PAAS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();