Gerdau (GGB) Shares Outstanding (2009 - 2026)
Gerdau (GGB) recorded Weighted Average Shares Outstanding of 2 billion in Q3 2026, down 4.1% from 2.09 billion a year earlier and unchanged from the prior quarter.
Gerdau (GGB) Shares Outstanding (2009 - 2026) Analysis & Trends
Starting with Q1 2009, Gerdau's Weighted Average Shares Outstanding history includes 71 quarters.
- Annual Weighted Average Shares Outstanding has a five-year compound annual growth rate of -20.8% (FY2020 to FY2025).
- Across earlier years, Weighted Average Shares Outstanding came in at 2.09 billion in FY2024 (-0.4%), 2.1 billion in FY2023 (unchanged), 2.1 billion in FY2022 (-67.4%) and 6.44 billion in FY2021 (+0.2%).
- Quarterly Weighted Average Shares Outstanding has ranged from 2 billion in Q4 2025 to 6.44 billion in Q3 2022 over the past five years.
- On a year-over-year basis, Weighted Average Shares Outstanding has declined for eight consecutive quarters, with an average decline of 2.3% over the last eight quarters.
- Peak year-over-year performance for Weighted Average Shares Outstanding in the last five years was growth of 0.2% in Q3 2022, against a decline of 67.4% in Q4 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at 2 billion (Q2 2026), 2 billion (Q1 2026) and 2 billion (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Qtr) |
|---|---|---|---|---|---|
| 1 | Rio Tinto | 170.99 Bn | 133.79 Bn | - | 1.62 Bn |
| 2 | Southern Copper | 149.62 Bn | 124.43 Bn | 3.10 Bn | 829.10 Mn |
| 3 | Rio Tinto | 134.25 Bn | 101.31 Bn | - | 1.62 Bn |
| 4 | Newmont | 113.36 Bn | 78.67 Bn | 4.22 Bn | 1.05 Bn |
| 5 | Freeport-Mcmoran | 90.38 Bn | 86.54 Bn | 2.19 Bn | 1.44 Bn |
| 6 | Agnico Eagle Mines | 85.22 Bn | 72.17 Bn | 2.15 Bn | 501.99 Mn |
| 7 | Barrick Mining | 63.61 Bn | 48.36 Bn | 2.90 Bn | 1.71 Bn |
| 8 | Nucor | 62.99 Bn | 53.53 Bn | 2.03 Bn | 228.20 Mn |
| 9 | ArcelorMittal | 46.60 Bn | 27.63 Bn | - | 763.00 Mn |
| 10 | Gerdau | 9.30 Bn | 4.66 Bn | 651.76 Mn | 2.00 Bn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 2.00 Bn |
| Jun 30, 2026 | 2.00 Bn |
| Mar 31, 2026 | 2.00 Bn |
| Dec 31, 2025 | 2.00 Bn |
| Sep 30, 2025 | 2.09 Bn |
| Jun 30, 2025 | 2.09 Bn |
| Mar 31, 2025 | 2.09 Bn |
| Dec 31, 2024 | 2.09 Bn |
| Sep 30, 2024 | 2.10 Bn |
| Jun 30, 2024 | 2.10 Bn |
| Mar 31, 2024 | 2.10 Bn |
| Dec 31, 2023 | 2.10 Bn |
| Sep 30, 2023 | 2.10 Bn |
| Jun 30, 2023 | 2.10 Bn |
| Mar 31, 2023 | 2.10 Bn |
| Dec 31, 2022 | 2.10 Bn |
| Sep 30, 2022 | 6.44 Bn |
| Jun 30, 2022 | 6.44 Bn |
| Mar 31, 2022 | 6.44 Bn |
| Dec 31, 2021 | 6.44 Bn |
Gerdau 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=GGB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding", "ticker": "GGB", "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=GGB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();