Pan American Silver (PAAS) Inventory (2009 - 2026)
Pan American Silver's Inventory came in at $644 million for the quarter ended Jun 30, 2026, up 6.7% from $603.4 million a year earlier but down 0.9% from the prior quarter.
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Analysis
Pan American Silver (PAAS) Inventory (2009 - 2026) Analysis & Trends
As of Dec 31, 2025, Pan American Silver's Inventory was $588 million, down 3.0% from the prior year.
- Inventory carries a five-year compound annual growth rate of 7.7% (years ended Dec 2020 to Dec 2025).
- Going back by year, Inventory was $606 million in the year ended Dec 31, 2024 (-14.8%), $711.6 million in the year ended Dec 31, 2023 (+50.9%), $471.6 million in the year ended Dec 31, 2022 (-5.8%) and $500.46 million in the year ended Dec 31, 2021 (+23.2%).
- The five-year range for quarterly Inventory is $242 million (the quarter ended Mar 31, 2023) to $810.2 million (the quarter ended Sep 30, 2024).
- Year-over-year, Inventory increased in three of the last eight quarters, with an average decline of 6.6%.
- The fastest year-over-year change in Inventory over five years came in the quarter ended Mar 31, 2024 (growth of 207.8%), and the weakest in the quarter ended Mar 31, 2023 (a decline of 48.8%).
- Business Quant data shows PAAS's Inventory at $650 million (quarter ended Mar 31, 2026), $588 million (quarter ended Dec 31, 2025) and $587.2 million (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) | Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Rio Tinto | 179.45 Bn | 145.58 Bn | - | 324.00 Mn |
| 2 | Southern Copper | 168.96 Bn | 147.82 Bn | 2.90 Bn | 1.06 Bn |
| 3 | Newmont | 123.37 Bn | 91.54 Bn | 4.03 Bn | 1.48 Bn |
| 4 | Ternium | 107.07 Bn | 72.12 Bn | 941.02 Mn | 4.40 Bn |
| 5 | Freeport-Mcmoran | 101.67 Bn | 97.82 Bn | 2.19 Bn | - |
| 6 | Agnico Eagle Mines | 92.92 Bn | 92.92 Bn | 2.43 Bn | 1.62 Bn |
| 7 | Barrick Mining | 69.09 Bn | 53.83 Bn | 2.90 Bn | 2.09 Bn |
| 8 | Nucor | 53.61 Bn | 44.15 Bn | 2.03 Bn | 6.02 Bn |
| 9 | ArcelorMittal | 51.72 Bn | 32.74 Bn | - | 19.28 Bn |
| 10 | Pan American Silver | 19.47 Bn | 14.32 Bn | 457,000.00 | 644.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 644.00 Mn |
| Mar 31, 2026 | 650.00 Mn |
| Dec 31, 2025 | 588.00 Mn |
| Sep 30, 2025 | 587.20 Mn |
| Jun 30, 2025 | 603.40 Mn |
| Mar 31, 2025 | 594.60 Mn |
| Dec 31, 2024 | 606.00 Mn |
| Sep 30, 2024 | 810.20 Mn |
| Jun 30, 2024 | 743.60 Mn |
| Mar 31, 2024 | 744.90 Mn |
| Dec 31, 2023 | 711.60 Mn |
| Sep 30, 2023 | 701.40 Mn |
| Jun 30, 2023 | 681.80 Mn |
| Mar 31, 2023 | 242.00 Mn |
| Dec 31, 2022 | 471.60 Mn |
| Sep 30, 2022 | 438.21 Mn |
| Jun 30, 2022 | 435.36 Mn |
| Mar 31, 2022 | 472.96 Mn |
| Dec 31, 2021 | 500.46 Mn |
| Sep 30, 2021 | 498.02 Mn |
API Access
Pan American Silver Inventory 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=inventory&ticker=PAAS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "inventory", "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=inventory&ticker=PAAS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();