Pan American Silver (PAAS) Change in Property, Plant and Equipment (2009 - 2026)
Pan American Silver (PAAS) posted Change in Property, Plant and Equipment of $124 million for Q3 2026, down 6.1% from $132 million a year earlier but up 22.8% from the prior quarter.
Pan American Silver (PAAS) Change in Property, Plant and Equipment (2009 - 2026) Analysis & Trends
For the trailing twelve months through Sep 30, 2026, Change in Property, Plant and Equipment at Pan American Silver was $331.1 million, up 24.9% year-over-year; for FY2025, it was -$309 million.
- In prior years, Pan American Silver's Change in Property, Plant and Equipment was -$320 million in FY2024, -$375.2 million in FY2023, -$266 million in FY2022 and -$197.68 million in FY2021.
- Quarterly Change in Property, Plant and Equipment has run from a low of $86,000 in Q4 2024 to a high of $132 million in Q3 2025 over five years.
- On a year-over-year basis, Change in Property, Plant and Equipment increased in four of the last eight quarters, with growth averaging 6.6%.
- The strongest year-over-year quarter for Change in Property, Plant and Equipment in the past five years was Q1 2024, with growth of 126.4%; the weakest was Q4 2024, with a decline of 99.9%.
- According to Business Quant data, Change in Property, Plant and Equipment for the three prior quarters was $101 million (Q2 2026), $106 million (Q1 2026) and $95,000 (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change in PP&E (Qtr) |
|---|---|---|---|---|---|
| 1 | Rio Tinto | 170.99 Bn | 133.79 Bn | - | - |
| 2 | Southern Copper | 138.52 Bn | 113.25 Bn | 3.10 Bn | -515.80 Mn |
| 3 | Rio Tinto | 135.90 Bn | 96.73 Bn | - | - |
| 4 | Newmont | 126.75 Bn | 91.89 Bn | 4.22 Bn | -857.00 Mn |
| 5 | Ternium | 96.55 Bn | 64.81 Bn | 1.04 Bn | 399.69 Mn |
| 6 | Agnico Eagle Mines | 96.18 Bn | 83.12 Bn | 2.15 Bn | 902.80 Mn |
| 7 | Freeport-Mcmoran | 85.33 Bn | 69.37 Bn | 2.19 Bn | -1.10 Bn |
| 8 | Barrick Mining | 69.13 Bn | 44.33 Bn | 2.90 Bn | -1.18 Bn |
| 9 | Nucor | 55.83 Bn | 45.21 Bn | 2.03 Bn | -564.00 Mn |
| 10 | Pan American Silver | 15.72 Bn | 9.93 Bn | 373,000.00 | 124.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 124.00 Mn |
| Jun 30, 2026 | 101.00 Mn |
| Mar 31, 2026 | 106.00 Mn |
| Dec 31, 2025 | 95,000.00 |
| Sep 30, 2025 | 131.10 Mn |
| Jun 30, 2025 | 64.00 Mn |
| Mar 31, 2025 | 69.00 Mn |
| Dec 31, 2024 | 86,000.00 |
| Sep 30, 2024 | 75.50 Mn |
| Jun 30, 2024 | 76.70 Mn |
| Mar 31, 2024 | 87.40 Mn |
| Dec 31, 2023 | 118.70 Mn |
| Sep 30, 2023 | 111.10 Mn |
| Jun 30, 2023 | 118.40 Mn |
| Mar 31, 2023 | 38.60 Mn |
| Dec 31, 2022 | 72.30 Mn |
| Sep 30, 2022 | 69.60 Mn |
| Jun 30, 2022 | 71.90 Mn |
| Mar 31, 2022 | 69.20 Mn |
| Dec 31, 2021 | 71.21 Mn |
Pan American Silver Change in Property, Plant and Equipment 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=change-in-property-plant-and-equipment&ticker=PAAS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-property-plant-and-equipment", "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=change-in-property-plant-and-equipment&ticker=PAAS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();