Pan American Silver (PAAS) Operating Expenses (2009 - 2026)
Pan American Silver's Operating Expenses came in at -$18,000 for the quarter ended Jun 30, 2026, compared with -$21,000 a year earlier.
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Analysis
Pan American Silver (PAAS) Operating Expenses (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Pan American Silver reported Operating Expenses of -$127,400; for the year ended Dec 31, 2025, it was $15.88 million, up 60.0% from the prior year.
- Going back by year, Operating Expenses was $9.93 million in the year ended Dec 31, 2024 (-31.6%), $14.51 million in the year ended Dec 31, 2023 (-19.9%), $18.11 million in the year ended Dec 31, 2022 and -$23.78 million in the year ended Dec 31, 2021.
- The figure for the quarter ended Jun 30, 2026 represents the highest quarterly Operating Expenses since the quarter ended Dec 31, 2024.
- Business Quant data shows PAAS's Operating Expenses at -$39,000 (quarter ended Mar 31, 2026), -$39,000 (quarter ended Dec 31, 2025) and -$31,400 (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) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Rio Tinto | 179.45 Bn | 145.58 Bn | - | - |
| 2 | Southern Copper | 168.96 Bn | 147.82 Bn | 2.90 Bn | 1.67 Bn |
| 3 | Newmont | 123.37 Bn | 91.54 Bn | 4.03 Bn | 3.02 Bn |
| 4 | Ternium | 107.07 Bn | 72.12 Bn | 941.02 Mn | -427.80 Mn |
| 5 | Freeport-Mcmoran | 101.67 Bn | 97.82 Bn | 2.19 Bn | 5.03 Bn |
| 6 | Agnico Eagle Mines | 92.92 Bn | 92.92 Bn | 2.43 Bn | 57.95 Mn |
| 7 | Barrick Mining | 69.09 Bn | 53.83 Bn | 2.90 Bn | 165.00 Mn |
| 8 | Nucor | 53.61 Bn | 44.15 Bn | 2.03 Bn | 405.00 Mn |
| 9 | ArcelorMittal | 51.72 Bn | 32.74 Bn | - | -780.00 Mn |
| 10 | Pan American Silver | 19.47 Bn | 14.32 Bn | 457,000.00 | -18,000.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -18,000.00 |
| Mar 31, 2026 | -39,000.00 |
| Dec 31, 2025 | -39,000.00 |
| Sep 30, 2025 | -31,400.00 |
| Jun 30, 2025 | -21,000.00 |
| Mar 31, 2025 | -25,000.00 |
| Dec 31, 2024 | -6,000.00 |
| Sep 30, 2024 | -17,400.00 |
| Jun 30, 2024 | -23,700.00 |
| Mar 31, 2024 | -22,400.00 |
| Dec 31, 2023 | -18,800.00 |
| Sep 30, 2023 | -15,600.00 |
| Jun 30, 2023 | -23,000.00 |
| Mar 31, 2023 | -29,300.00 |
| Dec 31, 2022 | -160,500.00 |
| Sep 30, 2022 | -6,800.00 |
| Jun 30, 2022 | -8,400.00 |
| Mar 31, 2022 | -11,000.00 |
| Dec 31, 2021 | -8.26 Mn |
| Sep 30, 2021 | -9.08 Mn |
API Access
Pan American Silver 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=operating-expenses&ticker=PAAS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=operating-expenses&ticker=PAAS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();