Albemarle (ALB) EPS (Diluted) (2009 - 2026)
Albemarle's EPS (Diluted) came in at $3.66 for Q2 2026, compared with -$0.16 a year earlier and up 32.1% from the prior quarter.
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Analysis
Albemarle (ALB) EPS (Diluted) (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Albemarle reported EPS (Diluted) of $2.04; for FY2025, it came in at -$5.76.
- Going back by year, EPS (Diluted) was -$11.20 in FY2024, $13.36 in FY2023 (-41.5%), $22.84 in FY2022 and $1.06 in FY2021 (-69.8%).
- The Q2 2026 figure represents the highest quarterly EPS (Diluted) since Q2 2023.
- Business Quant data shows ALB's EPS (Diluted) at $2.77 (Q1 2026), -$3.41 (Q4 2025) and -$1.26 (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EPS (Diluted) (Qtr) |
|---|---|---|---|---|---|
| 1 | Rio Tinto | 193.68 Bn | 159.81 Bn | - | - |
| 2 | Southern Copper | 166.32 Bn | 145.19 Bn | 2.90 Bn | 2.01 |
| 3 | Newmont | 120.84 Bn | 89.01 Bn | 4.03 Bn | 2.06 |
| 4 | Ternium | 110.94 Bn | 75.99 Bn | 941.02 Mn | - |
| 5 | Freeport-Mcmoran | 99.52 Bn | 95.67 Bn | 2.19 Bn | 0.68 |
| 6 | Agnico Eagle Mines | 90.25 Bn | 90.25 Bn | 2.43 Bn | 3.18 |
| 7 | Barrick Mining | 67.10 Bn | 51.84 Bn | 2.90 Bn | 1.11 |
| 8 | Nucor | 53.52 Bn | 44.06 Bn | 2.03 Bn | 5.06 |
| 9 | ArcelorMittal | 49.13 Bn | 30.16 Bn | - | 2.69 |
| 10 | Albemarle | 12.39 Bn | 6.38 Bn | 590.30 Mn | 3.66 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.66 |
| Mar 31, 2026 | 2.77 |
| Dec 31, 2025 | -3.41 |
| Sep 30, 2025 | -1.26 |
| Jun 30, 2025 | -0.16 |
| Mar 31, 2025 | 0.00 |
| Dec 31, 2024 | 0.29 |
| Sep 30, 2024 | -9.45 |
| Jun 30, 2024 | -1.96 |
| Mar 31, 2024 | -0.08 |
| Dec 31, 2023 | -5.24 |
| Sep 30, 2023 | 2.57 |
| Jun 30, 2023 | 5.52 |
| Mar 31, 2023 | 10.51 |
| Dec 31, 2022 | 9.61 |
| Sep 30, 2022 | 7.61 |
| Jun 30, 2022 | 3.46 |
| Mar 31, 2022 | 2.15 |
| Dec 31, 2021 | -0.03 |
| Sep 30, 2021 | -3.36 |
API Access
Albemarle EPS (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=eps-diluted&ticker=ALB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "eps-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=eps-diluted&ticker=ALB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();