Albemarle (ALB) Shares Outstanding (2009 - 2026)
Albemarle's Weighted Average Shares Outstanding was 118.01 million in Q3 2026, up 0.3% from 117.69 million a year earlier and unchanged from the prior quarter.
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Analysis
Albemarle (ALB) Shares Outstanding (2009 - 2026) Analysis & Trends
For FY2025, Weighted Average Shares Outstanding at Albemarle came in at 117.66 million, up 0.1% from FY2024.
- Weighted Average Shares Outstanding has now increased for six consecutive years, with a five-year compound annual growth rate of 2.0% (FY2020 to FY2025).
- In earlier years, Weighted Average Shares Outstanding was 117.52 million in FY2024 (+0.2%), 117.32 million in FY2023 (+0.2%), 117.12 million in FY2022 (+1.1%) and 115.84 million in FY2021 (+8.9%).
- The Q3 2026 figure marks the highest quarterly Weighted Average Shares Outstanding in data going back to Q2 2009.
- Compared with a year earlier, Weighted Average Shares Outstanding has increased for 27 straight quarters, with growth averaging 0.2% over the last eight quarters.
- The year-over-year growth in Weighted Average Shares Outstanding has ranged between 0.1% (Q2 2025) and 8.9% (Q4 2021) over the last five years.
- Per Business Quant data, ALB's Weighted Average Shares Outstanding in the three quarters before Q3 2026 was 117.96 million (Q2 2026), 117.85 million (Q1 2026) and 117.66 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Qtr) |
|---|---|---|---|---|---|
| 1 | Nucor | 175.24 Bn | 165.01 Bn | 2.33 Bn | 546.72 Mn |
| 2 | Rio Tinto | 166.15 Bn | 128.95 Bn | - | 1.62 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 | - | 1.62 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 | 1.96 Bn |
| 7 | Agnico Eagle Mines | 95.19 Bn | 82.13 Bn | 2.15 Bn | 501.99 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 | 118.01 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 118.01 Mn |
| Jun 30, 2026 | 117.96 Mn |
| Mar 31, 2026 | 117.85 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 | 117.32 Mn |
| Sep 30, 2023 | 117.35 Mn |
| Jun 30, 2023 | 117.33 Mn |
| Mar 31, 2023 | 117.23 Mn |
| Dec 31, 2022 | 117.12 Mn |
| Sep 30, 2022 | 117.14 Mn |
| Jun 30, 2022 | 117.12 Mn |
| Mar 31, 2022 | 117.07 Mn |
| Dec 31, 2021 | 115.84 Mn |
API Access
Albemarle 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=ALB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding", "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&ticker=ALB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();