Pan American Silver (PAAS) Cost of Revenue (2009 - 2026)
Pan American Silver's Cost of Revenue came in at $474,000 for Q3 2026, up 19.7% from $396,000 a year earlier and up 0.2% from the prior quarter.
Pan American Silver (PAAS) Cost of Revenue (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Sep 30, 2026, Pan American Silver reported Cost of Revenue of $1.76 million, up 10.8% year-over-year; for FY2025, it came in at $2.21 billion, down 2.5% from FY2024.
- Cost of Revenue carries a five-year compound annual growth rate of 17.7% (FY2020 to FY2025).
- Going back by year, Cost of Revenue was $2.27 billion in FY2024 (+12.4%), $2.02 billion in FY2023 (+39.6%), $1.45 billion in FY2022 (+14.3%) and $1.26 billion in FY2021 (+29.2%).
- The Q3 2026 figure represents the highest quarterly Cost of Revenue since Q4 2021.
- Year-over-year, Cost of Revenue has increased for four consecutive quarters, with growth averaging 3.3% over the last eight quarters.
- The fastest year-over-year change in Cost of Revenue over five years came in Q4 2023 (growth of 75.0%), and the weakest in Q4 2022 (a decline of 99.9%).
- Business Quant data shows PAAS's Cost of Revenue at $473,000 (Q2 2026), $381,000 (Q1 2026) and $432,000 (Q4 2025) in the three quarters before Q3 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Rio Tinto | 170.99 Bn | 133.79 Bn | - | - |
| 2 | Southern Copper | 138.52 Bn | 113.25 Bn | 3.10 Bn | 1.60 Bn |
| 3 | Rio Tinto | 135.90 Bn | 96.73 Bn | - | - |
| 4 | Newmont | 126.75 Bn | 91.89 Bn | 4.22 Bn | 2.14 Bn |
| 5 | Ternium | 96.55 Bn | 64.81 Bn | 1.04 Bn | 3.61 Bn |
| 6 | Agnico Eagle Mines | 96.18 Bn | 83.12 Bn | 2.15 Bn | 972.41 Mn |
| 7 | Freeport-Mcmoran | 85.33 Bn | 69.37 Bn | 2.19 Bn | 4.84 Bn |
| 8 | Barrick Mining | 69.13 Bn | 44.33 Bn | 2.90 Bn | 2.40 Bn |
| 9 | Nucor | 55.83 Bn | 45.21 Bn | 2.03 Bn | 8.36 Bn |
| 10 | Pan American Silver | 15.72 Bn | 9.93 Bn | 373,000.00 | 474,000.00 |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 474,000.00 |
| Jun 30, 2026 | 473,000.00 |
| Mar 31, 2026 | 381,000.00 |
| Dec 31, 2025 | 432,000.00 |
| Sep 30, 2025 | 395,500.00 |
| Jun 30, 2025 | 396,000.00 |
| Mar 31, 2025 | 380,000.00 |
| Dec 31, 2024 | 416,000.00 |
| Sep 30, 2024 | 400,900.00 |
| Jun 30, 2024 | 424,600.00 |
| Mar 31, 2024 | 392,100.00 |
| Dec 31, 2023 | 441,300.00 |
| Sep 30, 2023 | 402,200.00 |
| Jun 30, 2023 | 405,300.00 |
| Mar 31, 2023 | 230,800.00 |
| Dec 31, 2022 | 252,200.00 |
| Sep 30, 2022 | 275,100.00 |
| Jun 30, 2022 | 288,300.00 |
| Mar 31, 2022 | 278,800.00 |
| Dec 31, 2021 | 263.44 Mn |
Pan American Silver Cost of Revenue 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=cost-of-revenue&ticker=PAAS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-revenue", "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=cost-of-revenue&ticker=PAAS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();