Ero Copper (ERO) Shares Outstanding (2020 - 2026)
Ero Copper's Weighted Average Shares Outstanding came in at 103.68 million for Q3 2026, up 0.1% from 103.62 million a year earlier and unchanged from the prior quarter.
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Analysis
Ero Copper (ERO) Shares Outstanding (2020 - 2026) Analysis & Trends
Going back to Q2 2020, Ero Copper's Weighted Average Shares Outstanding data covers 26 quarters.
- Weighted Average Shares Outstanding has increased in each of the last five years, with a five-year compound annual growth rate of 3.7% (FY2020 to FY2025).
- Going back by year, Weighted Average Shares Outstanding was 103.11 million in FY2024 (+9.6%), 94.11 million in FY2023 (+3.7%), 90.79 million in FY2022 (+2.5%) and 88.6 million in FY2021 (+2.6%).
- Year-over-year, Weighted Average Shares Outstanding has increased for 12 consecutive quarters, with growth averaging 1.5% over the last eight quarters.
- The fastest year-over-year change in Weighted Average Shares Outstanding over five years came in Q3 2024 (growth of 13.7%), and the weakest in Q3 2023 (a decline of 0.1%).
- Business Quant data shows ERO's Weighted Average Shares Outstanding at 103.68 million (Q2 2026), 103.68 million (Q1 2026) and 103.68 million (Q4 2025) in the three quarters before Q3 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Qtr) |
|---|---|---|---|---|---|
| 1 | Nucor | 172.02 Bn | 161.79 Bn | 2.33 Bn | 546.72 Mn |
| 2 | Rio Tinto | 168.15 Bn | 130.95 Bn | - | 1.62 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 | - | 1.62 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 | 1.96 Bn |
| 7 | Agnico Eagle Mines | 89.22 Bn | 76.17 Bn | 2.15 Bn | 501.99 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 | 103.68 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 103.68 Mn |
| Jun 30, 2026 | 103.68 Mn |
| Mar 31, 2026 | 103.68 Mn |
| Dec 31, 2025 | 103.68 Mn |
| Sep 30, 2025 | 103.62 Mn |
| Jun 30, 2025 | 103.58 Mn |
| Mar 31, 2025 | 103.56 Mn |
| Dec 31, 2024 | 103.11 Mn |
| Sep 30, 2024 | 103.24 Mn |
| Jun 30, 2024 | 103.08 Mn |
| Mar 31, 2024 | 102.77 Mn |
| Dec 31, 2023 | 94.11 Mn |
| Sep 30, 2023 | 90.79 Mn |
| Jun 30, 2023 | 90.79 Mn |
| Mar 31, 2023 | 90.79 Mn |
| Dec 31, 2022 | 90.79 Mn |
| Sep 30, 2022 | 90.85 Mn |
| Jun 30, 2022 | 90.54 Mn |
| Mar 31, 2022 | 90.24 Mn |
| Dec 31, 2021 | 88.60 Mn |
API Access
Ero Copper 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=ERO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding", "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&ticker=ERO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();