Ero Copper (ERO) Shares Outstanding (Diluted) (2020 - 2026)
Ero Copper (ERO) posted Weighted Average Shares Outstanding (Diluted) of 104.13 million for Q3 2026, up 0.1% from 104.04 million a year earlier and unchanged from the prior quarter.
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Analysis
Ero Copper (ERO) Shares Outstanding (Diluted) (2020 - 2026) Analysis & Trends
Since Q2 2020, Ero Copper has reported Weighted Average Shares Outstanding (Diluted) for 26 quarters.
- Annual Weighted Average Shares Outstanding (Diluted) has increased for four consecutive years, with a five-year compound annual growth rate of 2.5% (FY2020 to FY2025).
- In prior years, Ero Copper's Weighted Average Shares Outstanding (Diluted) was 103.11 million in FY2024 (+8.7%), 94.9 million in FY2023 (+3.0%), 92.17 million in FY2022 (+1.3%) and 90.96 million in FY2021 (-1.4%).
- On a year-over-year basis, Weighted Average Shares Outstanding (Diluted) has increased in each of the last 16 quarters, with growth averaging 1.5% over the last eight quarters.
- The strongest year-over-year quarter for Weighted Average Shares Outstanding (Diluted) in the past five years was Q3 2024, with growth of 12.8%; the weakest was Q2 2022, with a decline of 1.6%.
- According to Business Quant data, Weighted Average Shares Outstanding (Diluted) for the three prior quarters was 104.13 million (Q2 2026), 104.13 million (Q1 2026) and 104.13 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Nucor | 172.02 Bn | 161.79 Bn | 2.33 Bn | 547.68 Mn |
| 2 | Rio Tinto | 168.15 Bn | 130.95 Bn | - | 1.64 Bn |
| 3 | Southern Copper | 138.51 Bn | 113.33 Bn | 3.10 Bn | 838.10 Mn |
| 4 | Rio Tinto | 134.73 Bn | 101.79 Bn | - | 1.64 Bn |
| 5 | Newmont | 117.64 Bn | 82.96 Bn | 4.22 Bn | 1.05 Bn |
| 6 | Ternium | 99.96 Bn | 72.72 Bn | 1.04 Bn | - |
| 7 | Agnico Eagle Mines | 89.22 Bn | 76.17 Bn | 2.15 Bn | 503.43 Mn |
| 8 | Freeport-Mcmoran | 85.03 Bn | 81.69 Bn | 2.55 Bn | 1.44 Bn |
| 9 | Barrick Mining | 63.01 Bn | 47.43 Bn | 2.71 Bn | 1.71 Bn |
| 10 | Ero Copper | 3.03 Bn | 2.62 Bn | 169.56 Mn | 104.13 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 104.13 Mn |
| Jun 30, 2026 | 104.13 Mn |
| Mar 31, 2026 | 104.13 Mn |
| Dec 31, 2025 | 104.13 Mn |
| Sep 30, 2025 | 104.04 Mn |
| Jun 30, 2025 | 103.91 Mn |
| Mar 31, 2025 | 103.90 Mn |
| Dec 31, 2024 | 103.11 Mn |
| Sep 30, 2024 | 103.97 Mn |
| Jun 30, 2024 | 103.08 Mn |
| Mar 31, 2024 | 102.77 Mn |
| Dec 31, 2023 | 94.90 Mn |
| Sep 30, 2023 | 92.17 Mn |
| Jun 30, 2023 | 92.17 Mn |
| Mar 31, 2023 | 92.17 Mn |
| Dec 31, 2022 | 92.17 Mn |
| Sep 30, 2022 | 91.80 Mn |
| Jun 30, 2022 | 91.85 Mn |
| Mar 31, 2022 | 92.05 Mn |
| Dec 31, 2021 | 90.96 Mn |
API Access
Ero 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=ERO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "ticker": "ERO", "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=ERO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();