Pan American Silver (PAAS) Shares Outstanding (2009 - 2026)
Pan American Silver (PAAS) posted Shares Outstanding of 381.48 million for the quarter ended Jun 30, 2026, up 5.0% from 363.36 million a year earlier and unchanged from the prior quarter.
Pan American Silver (PAAS) Shares Outstanding (2009 - 2026) Analysis & Trends
Since the quarter ended Mar 31, 2009, Pan American Silver has reported Shares Outstanding for 70 quarters.
- Annual Shares Outstanding has increased for 11 consecutive years, with a five-year compound annual growth rate of 12.7% (years ended Dec 2020 to Dec 2025).
- In prior years, Pan American Silver's Shares Outstanding was 363.36 million in the year ended Dec 31, 2024 (+11.3%), 326.54 million in the year ended Dec 31, 2023 (+55.1%), 210.52 million in the year ended Dec 31, 2022 (+0.1%) and 210.3 million in the year ended Dec 31, 2021 (+0.1%).
- On a year-over-year basis, Shares Outstanding has increased in each of the last 43 quarters, with growth averaging 14.4% over the last eight quarters.
- The year-over-year growth in Shares Outstanding has ranged between 0.1% (the quarter ended Dec 31, 2021) and 55.1% (the quarter ended Sep 30, 2024) over the last five years.
- According to Business Quant data, Shares Outstanding for the three prior quarters was 381.48 million (quarter ended Mar 31, 2026), 381.48 million (quarter ended Dec 31, 2025) and 363.36 million (quarter ended Sep 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Qtr) |
|---|---|---|---|---|---|
| 1 | Rio Tinto | 181.90 Bn | 148.03 Bn | - | 1.62 Bn |
| 2 | Southern Copper | 169.19 Bn | 148.06 Bn | 2.90 Bn | 829.10 Mn |
| 3 | Newmont | 121.55 Bn | 89.73 Bn | 4.03 Bn | 1.07 Bn |
| 4 | Ternium | 108.92 Bn | 73.97 Bn | 941.02 Mn | 1.96 Bn |
| 5 | Freeport-Mcmoran | 100.46 Bn | 96.62 Bn | 2.19 Bn | 1.44 Bn |
| 6 | Agnico Eagle Mines | 91.62 Bn | 91.62 Bn | 2.43 Bn | 501.99 Mn |
| 7 | Barrick Mining | 68.12 Bn | 52.86 Bn | 2.90 Bn | 1.71 Bn |
| 8 | Nucor | 53.04 Bn | 43.58 Bn | 2.03 Bn | 228.20 Mn |
| 9 | ArcelorMittal | 50.74 Bn | 31.77 Bn | - | 763.00 Mn |
| 10 | Pan American Silver | 19.20 Bn | 14.05 Bn | 457,000.00 | 381.48 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 381.48 Mn |
| Mar 31, 2026 | 381.48 Mn |
| Dec 31, 2025 | 381.48 Mn |
| Sep 30, 2025 | 363.36 Mn |
| Jun 30, 2025 | 363.36 Mn |
| Mar 31, 2025 | 363.36 Mn |
| Dec 31, 2024 | 363.36 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 | 210.30 Mn |
| Jun 30, 2022 | 210.30 Mn |
| Mar 31, 2022 | 210.30 Mn |
| Dec 31, 2021 | 210.30 Mn |
| Sep 30, 2021 | 210.09 Mn |
Pan American Silver Shares Outstanding 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&ticker=PAAS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding", "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&ticker=PAAS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();