Southern Copper (SCCO) Shares Outstanding (Diluted) (2009 - 2026)
Southern Copper (SCCO) posted Weighted Average Shares Outstanding (Diluted) of 829.1 million for Q3 2026, up 0.8% from 822.7 million a year earlier and unchanged from the prior quarter.
Southern Copper (SCCO) Shares Outstanding (Diluted) (2009 - 2026) Analysis & Trends
For FY2025, Southern Copper's Weighted Average Shares Outstanding (Diluted) came in at 826.6 million, up 5.9% from FY2024.
- Annual Weighted Average Shares Outstanding (Diluted) shows a five-year compound annual growth rate of 0.9% (FY2020 to FY2025).
- In prior years, Southern Copper's Weighted Average Shares Outstanding (Diluted) was 780.4 million in FY2024 (-1.3%), 790.38 million in FY2023 (unchanged), 790.38 million in FY2022 (unchanged) and 790.38 million in FY2021 (unchanged).
- On a year-over-year basis, Weighted Average Shares Outstanding (Diluted) has increased in each of the last seven quarters, with growth averaging 2.4% over the last eight quarters.
- The strongest year-over-year quarter for Weighted Average Shares Outstanding (Diluted) in the past five years was Q4 2025, with growth of 5.9%; the weakest was Q4 2024, with a decline of 1.3%.
- According to Business Quant data, Weighted Average Shares Outstanding (Diluted) for the three prior quarters was 829.1 million (Q2 2026), 821.7 million (Q1 2026) and 826.6 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Nucor | 175.24 Bn | 165.01 Bn | 2.33 Bn | 547.68 Mn |
| 2 | Rio Tinto | 166.15 Bn | 128.95 Bn | - | 1.64 Bn |
| 3 | Southern Copper | 143.83 Bn | 118.64 Bn | 3.10 Bn | 838.10 Mn |
| 4 | Rio Tinto | 137.31 Bn | 104.37 Bn | - | 1.64 Bn |
| 5 | Newmont | 124.66 Bn | 89.98 Bn | 4.22 Bn | 1.05 Bn |
| 6 | Ternium | 102.52 Bn | 75.29 Bn | 1.04 Bn | - |
| 7 | Agnico Eagle Mines | 95.19 Bn | 82.13 Bn | 2.15 Bn | 503.43 Mn |
| 8 | Freeport-Mcmoran | 86.53 Bn | 83.18 Bn | 2.55 Bn | 1.44 Bn |
| 9 | Barrick Mining | 66.50 Bn | 50.91 Bn | 2.71 Bn | 1.71 Bn |
| 10 | ArcelorMittal | 49.98 Bn | 33.48 Bn | - | 766.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 838.10 Mn |
| Jun 30, 2026 | 829.10 Mn |
| Mar 31, 2026 | 821.70 Mn |
| Dec 31, 2025 | 826.60 Mn |
| Sep 30, 2025 | 822.70 Mn |
| Jun 30, 2025 | 807.80 Mn |
| Mar 31, 2025 | 792.50 Mn |
| Dec 31, 2024 | 780.40 Mn |
| Sep 30, 2024 | 787.75 Mn |
| Jun 30, 2024 | 787.11 Mn |
| Mar 31, 2024 | 790.38 Mn |
| Dec 31, 2023 | 790.38 Mn |
| Sep 30, 2023 | 790.38 Mn |
| Jun 30, 2023 | 790.38 Mn |
| Mar 31, 2023 | 790.38 Mn |
| Dec 31, 2022 | 790.38 Mn |
| Sep 30, 2022 | 790.38 Mn |
| Jun 30, 2022 | 790.38 Mn |
| Mar 31, 2022 | 790.38 Mn |
| Dec 31, 2021 | 790.38 Mn |
Southern Copper 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=SCCO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "ticker": "SCCO", "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=SCCO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();