Pan American Silver (PAAS) Shares Outstanding (Diluted) (2009 - 2026)
Pan American Silver's Weighted Average Shares Outstanding (Diluted) came in at 381.58 million for Q3 2026, up 5.0% from 363.4 million a year earlier and unchanged from the prior quarter.
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Analysis
Pan American Silver (PAAS) Shares Outstanding (Diluted) (2009 - 2026) Analysis & Trends
Going back to Q4 2012, Pan American Silver's Weighted Average Shares Outstanding (Diluted) data covers 56 quarters.
- Weighted Average Shares Outstanding (Diluted) has increased in each of the last three years, with a five-year compound annual growth rate of 12.7% (FY2020 to FY2025).
- Going back by year, Weighted Average Shares Outstanding (Diluted) was 363.4 million in FY2024 (+11.3%), 326.54 million in FY2023 (+55.1%), 210.52 million in FY2022 (unchanged) and 210.44 million in FY2021 (+0.1%).
- Year-over-year, Weighted Average Shares Outstanding (Diluted) has increased for 12 consecutive quarters, with growth averaging 8.1% over the last eight quarters.
- Over the past five years, the year-over-year growth in Weighted Average Shares Outstanding (Diluted) ranged from 0.0% (Q4 2022) to 55.1% (Q3 2024).
- Business Quant data shows PAAS's Weighted Average Shares Outstanding (Diluted) at 381.58 million (Q2 2026), 381.58 million (Q1 2026) and 381.58 million (Q4 2025) in the three quarters before Q3 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Rio Tinto | 170.99 Bn | 133.79 Bn | - | 1.64 Bn |
| 2 | Southern Copper | 138.52 Bn | 113.25 Bn | 3.10 Bn | 829.10 Mn |
| 3 | Rio Tinto | 135.90 Bn | 96.73 Bn | - | 1.63 Bn |
| 4 | Newmont | 126.75 Bn | 91.89 Bn | 4.22 Bn | 1.05 Bn |
| 5 | Ternium | 96.55 Bn | 64.81 Bn | 1.04 Bn | - |
| 6 | Agnico Eagle Mines | 96.18 Bn | 83.12 Bn | 2.15 Bn | 503.43 Mn |
| 7 | Freeport-Mcmoran | 85.33 Bn | 69.37 Bn | 2.19 Bn | 1.44 Bn |
| 8 | Barrick Mining | 69.13 Bn | 44.33 Bn | 2.90 Bn | 1.71 Bn |
| 9 | Nucor | 55.83 Bn | 45.21 Bn | 2.03 Bn | 228.50 Mn |
| 10 | Pan American Silver | 15.72 Bn | 9.93 Bn | 373,000.00 | 381.58 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 381.58 Mn |
| Jun 30, 2026 | 381.58 Mn |
| Mar 31, 2026 | 381.58 Mn |
| Dec 31, 2025 | 381.58 Mn |
| Sep 30, 2025 | 363.40 Mn |
| Jun 30, 2025 | 363.40 Mn |
| Mar 31, 2025 | 363.40 Mn |
| Dec 31, 2024 | 363.40 Mn |
| Sep 30, 2024 | 326.54 Mn |
| Jun 30, 2024 | 326.54 Mn |
| Mar 31, 2024 | 326.54 Mn |
| Dec 31, 2023 | 326.54 Mn |
| Sep 30, 2023 | 210.52 Mn |
| Jun 30, 2023 | 210.52 Mn |
| Mar 31, 2023 | 210.52 Mn |
| Dec 31, 2022 | 210.52 Mn |
| Sep 30, 2022 | 210.44 Mn |
| Jun 30, 2022 | 210.44 Mn |
| Mar 31, 2022 | 210.44 Mn |
| Dec 31, 2021 | 210.44 Mn |
API Access
Pan American Silver Shares Outstanding (Diluted) 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=shares-outstanding-diluted&ticker=PAAS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "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=shares-outstanding-diluted&ticker=PAAS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();