Alamos Gold (AGI) Shares Outstanding (Diluted) (2011 - 2026)
Alamos Gold (AGI) reported Weighted Average Shares Outstanding (Diluted) of 422.66 million for Q3 2026, up 3.0% from 410.55 million a year earlier and unchanged from the prior quarter.
Alamos Gold (AGI) Shares Outstanding (Diluted) (2011 - 2026) Analysis & Trends
Dating back to Q4 2011, Alamos Gold's Weighted Average Shares Outstanding (Diluted) record includes 60 quarters.
- Weighted Average Shares Outstanding (Diluted) has increased for four consecutive years, with a five-year compound annual growth rate of 1.4% (FY2020 to FY2025).
- By year, Weighted Average Shares Outstanding (Diluted) came in at 410.55 million in FY2024 (+3.1%), 398.07 million in FY2023 (+0.9%), 394.51 million in FY2022 (+0.5%) and 392.65 million in FY2021 (-0.6%).
- Year over year, Weighted Average Shares Outstanding (Diluted) has now increased in each of the last 16 quarters, with growth averaging 3.0% over the last eight quarters.
- The high point for year-over-year Weighted Average Shares Outstanding (Diluted) in five years was Q3 2025 (growth of 3.1%); the low point was Q4 2021 (a decline of 0.6%).
- Per Business Quant data, the three quarters before Q3 2026 came in at 422.66 million (Q2 2026), 422.66 million (Q1 2026) and 422.66 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 | Alamos Gold | 12.94 Bn | 10.24 Bn | - | 422.66 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 422.66 Mn |
| Jun 30, 2026 | 422.66 Mn |
| Mar 31, 2026 | 422.66 Mn |
| Dec 31, 2025 | 422.66 Mn |
| Sep 30, 2025 | 410.55 Mn |
| Jun 30, 2025 | 410.55 Mn |
| Mar 31, 2025 | 410.55 Mn |
| Dec 31, 2024 | 410.55 Mn |
| Sep 30, 2024 | 398.07 Mn |
| Jun 30, 2024 | 398.07 Mn |
| Mar 31, 2024 | 398.07 Mn |
| Dec 31, 2023 | 398.07 Mn |
| Sep 30, 2023 | 394.51 Mn |
| Jun 30, 2023 | 394.51 Mn |
| Mar 31, 2023 | 394.51 Mn |
| Dec 31, 2022 | 394.51 Mn |
| Sep 30, 2022 | 392.65 Mn |
| Jun 30, 2022 | 392.65 Mn |
| Mar 31, 2022 | 392.65 Mn |
| Dec 31, 2021 | 392.65 Mn |
Alamos Gold 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=AGI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "ticker": "AGI", "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=AGI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();