Gerdau (GGB) Shares Outstanding (Diluted) (2018 - 2026)
Gerdau (GGB) recorded Weighted Average Shares Outstanding (Diluted) of 1.29 billion in Q3 2026, down 6.1% from 1.38 billion a year earlier and unchanged from the prior quarter.
Gerdau (GGB) Shares Outstanding (Diluted) (2018 - 2026) Analysis & Trends
Starting with Q4 2018, Gerdau's Weighted Average Shares Outstanding (Diluted) history includes 32 quarters.
- Annual Weighted Average Shares Outstanding (Diluted) has declined for three straight years, with a five-year compound annual growth rate of -21.2% (FY2020 to FY2025).
- Across earlier years, Weighted Average Shares Outstanding (Diluted) came in at 1.38 billion in FY2024 (-0.9%), 1.39 billion in FY2023 (-67.5%), 4.28 billion in FY2022 (unchanged) and 4.28 billion in FY2021 (+0.4%).
- Quarterly Weighted Average Shares Outstanding (Diluted) has ranged from 1.29 billion in Q4 2025 to 4.28 billion in Q3 2023 over the past five years.
- On a year-over-year basis, Weighted Average Shares Outstanding (Diluted) has declined for 12 consecutive quarters, with an average decline of 3.5% over the last eight quarters.
- Peak year-over-year performance for Weighted Average Shares Outstanding (Diluted) in the last five years was growth of 0.4% in Q3 2022, against a decline of 67.5% in Q4 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at 1.29 billion (Q2 2026), 1.29 billion (Q1 2026) and 1.29 billion (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Rio Tinto | 170.99 Bn | 133.79 Bn | - | 1.64 Bn |
| 2 | Southern Copper | 138.52 Bn | 113.25 Bn | 3.10 Bn | 829.10 Mn |
| 3 | Rio Tinto | 135.90 Bn | 96.73 Bn | - | 1.63 Bn |
| 4 | Newmont | 126.75 Bn | 91.89 Bn | 4.22 Bn | 1.05 Bn |
| 5 | Ternium | 96.55 Bn | 64.81 Bn | 1.04 Bn | - |
| 6 | Agnico Eagle Mines | 96.18 Bn | 83.12 Bn | 2.15 Bn | 503.43 Mn |
| 7 | Freeport-Mcmoran | 85.33 Bn | 69.37 Bn | 2.19 Bn | 1.44 Bn |
| 8 | Barrick Mining | 69.13 Bn | 44.33 Bn | 2.90 Bn | 1.71 Bn |
| 9 | Nucor | 55.83 Bn | 45.21 Bn | 2.03 Bn | 228.50 Mn |
| 10 | Gerdau | 8.78 Bn | 4.10 Bn | 651.76 Mn | 1.29 Bn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 1.29 Bn |
| Jun 30, 2026 | 1.29 Bn |
| Mar 31, 2026 | 1.29 Bn |
| Dec 31, 2025 | 1.29 Bn |
| Sep 30, 2025 | 1.38 Bn |
| Jun 30, 2025 | 1.38 Bn |
| Mar 31, 2025 | 1.38 Bn |
| Dec 31, 2024 | 1.38 Bn |
| Sep 30, 2024 | 1.39 Bn |
| Jun 30, 2024 | 1.39 Bn |
| Mar 31, 2024 | 1.39 Bn |
| Dec 31, 2023 | 1.39 Bn |
| Sep 30, 2023 | 4.28 Bn |
| Jun 30, 2023 | 4.28 Bn |
| Mar 31, 2023 | 4.28 Bn |
| Dec 31, 2022 | 4.28 Bn |
| Sep 30, 2022 | 4.28 Bn |
| Jun 30, 2022 | 4.28 Bn |
| Mar 31, 2022 | 4.28 Bn |
| Dec 31, 2021 | 4.28 Bn |
Gerdau 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=GGB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "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-diluted&ticker=GGB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();