Albemarle (ALB) Shares Outstanding (Diluted) (2009 - 2026)
Albemarle (ALB) recorded Weighted Average Shares Outstanding (Diluted) of 118.54 million in Q3 2026, up 0.7% from 117.69 million a year earlier but down 13.0% from the prior quarter.
Albemarle (ALB) Shares Outstanding (Diluted) (2009 - 2026) Analysis & Trends
For FY2025, Albemarle reported Weighted Average Shares Outstanding (Diluted) of 117.66 million, up 0.1% from FY2024.
- Annual Weighted Average Shares Outstanding (Diluted) has a five-year compound annual growth rate of 2.0% (FY2020 to FY2025).
- Across earlier years, Weighted Average Shares Outstanding (Diluted) came in at 117.52 million in FY2024 (-0.2%), 117.77 million in FY2023 (unchanged), 117.79 million in FY2022 (+1.1%) and 116.54 million in FY2021 (+9.1%).
- Quarterly Weighted Average Shares Outstanding (Diluted) has ranged from 116.54 million in Q4 2021 to 136.21 million in Q2 2026 over the past five years.
- On a year-over-year basis, Weighted Average Shares Outstanding (Diluted) has increased for seven consecutive quarters, with growth averaging 2.2% over the last eight quarters.
- Peak year-over-year performance for Weighted Average Shares Outstanding (Diluted) in the last five years was growth of 15.8% in Q2 2026, against a decline of 0.3% in Q1 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at 136.21 million (Q2 2026), 118.61 million (Q1 2026) and 117.66 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 | Albemarle | 11.20 Bn | 4.92 Bn | 300.72 Mn | 118.54 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 118.54 Mn |
| Jun 30, 2026 | 136.21 Mn |
| Mar 31, 2026 | 118.61 Mn |
| Dec 31, 2025 | 117.66 Mn |
| Sep 30, 2025 | 117.69 Mn |
| Jun 30, 2025 | 117.67 Mn |
| Mar 31, 2025 | 117.60 Mn |
| Dec 31, 2024 | 117.52 Mn |
| Sep 30, 2024 | 117.54 Mn |
| Jun 30, 2024 | 117.53 Mn |
| Mar 31, 2024 | 117.45 Mn |
| Dec 31, 2023 | 117.77 Mn |
| Sep 30, 2023 | 117.78 Mn |
| Jun 30, 2023 | 117.77 Mn |
| Mar 31, 2023 | 117.84 Mn |
| Dec 31, 2022 | 117.79 Mn |
| Sep 30, 2022 | 117.87 Mn |
| Jun 30, 2022 | 117.72 Mn |
| Mar 31, 2022 | 117.65 Mn |
| Dec 31, 2021 | 116.54 Mn |
Albemarle 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=ALB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "ticker": "ALB", "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=ALB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();