Pan American Silver (PAAS) Other Operating Expenses (2009 - 2015)
Pan American Silver (PAAS) posted Other Operating Expenses of $113 million for the year ended Dec 31, 2025, up 73.8% from $65 million a year earlier.
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Analysis
Pan American Silver (PAAS) Other Operating Expenses (2009 - 2015) Analysis & Trends
Since the year ended Dec 31, 2009, Pan American Silver has reported Other Operating Expenses for 13 years.
- Annual Other Operating Expenses has increased for three consecutive years, with a five-year compound annual growth rate of 32.7% (years ended Dec 2020 to Dec 2025).
- The figure for the year ended Dec 31, 2025 stands as the highest annual Other Operating Expenses since the year ended Dec 31, 2009.
- Business Quant data shows PAAS's Other Operating Expenses at $65 million in the year ended Dec 31, 2024 (+16.3%), $55.9 million in the year ended Dec 31, 2023 (+55.7%), $35.9 million in the year ended Dec 31, 2022 (-1.3%) and $36.38 million in the year ended Dec 31, 2021 (+32.3%).
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 |
|---|---|
| Dec 31, 2015 | -442,000.00 |
| Dec 31, 2014 | -1.58 Mn |
| Jun 30, 2013 | 75.42 Mn |
| Jun 30, 2012 | 75.71 Mn |
| Dec 31, 2009 | 245.64 Mn |
API Access
Pan American Silver Other Operating Expenses 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=other-operating-expenses&ticker=PAAS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-operating-expenses", "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=other-operating-expenses&ticker=PAAS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();