Albemarle (ALB) Price to Earnings (2010 - 2026)
Albemarle's (ALB) Price to Earnings stood at 57.21 in Q2 2026.
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Analysis
Albemarle (ALB) Price to Earnings (2010 - 2026) Analysis & Trends
For FY2023, Albemarle's Price to Earnings came in at 10.78, up 14.1% from FY2022.
- Across earlier years, Price to Earnings came in at 9.45 in FY2022 (-95.7%), 221.19 in FY2021 (+427.3%), 41.94 in FY2020 (+188.8%) and 14.53 in FY2019 (+23.8%).
- The Q2 2026 figure is the highest quarterly Price to Earnings since Q2 2022.
- Peak year-over-year performance for Price to Earnings in the last five years was growth of 573.7% in Q1 2024, against a decline of 95.7% in Q4 2022 at the low end.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Rio Tinto | 193.68 Bn | 159.81 Bn | - |
| 2 | Southern Copper | 171.36 Bn | 150.22 Bn | 2.90 Bn |
| 3 | Newmont | 121.76 Bn | 89.94 Bn | 4.03 Bn |
| 4 | Ternium | 113.51 Bn | 78.56 Bn | 941.02 Mn |
| 5 | Freeport-Mcmoran | 103.45 Bn | 99.60 Bn | 2.19 Bn |
| 6 | Agnico Eagle Mines | 91.92 Bn | 91.92 Bn | 2.43 Bn |
| 7 | Barrick Mining | 67.42 Bn | 52.16 Bn | 2.90 Bn |
| 8 | Nucor | 54.54 Bn | 45.08 Bn | 2.03 Bn |
| 9 | ArcelorMittal | 49.09 Bn | 30.12 Bn | - |
| 10 | Albemarle | 12.34 Bn | 6.33 Bn | 590.30 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 57.21 |
| Mar 31, 2024 | 47.53 |
| Dec 31, 2023 | 10.78 |
| Sep 30, 2023 | 6.00 |
| Jun 30, 2023 | 6.68 |
| Mar 31, 2023 | 7.06 |
| Dec 31, 2022 | 9.45 |
| Sep 30, 2022 | 19.94 |
| Jun 30, 2022 | 92.87 |
| Mar 31, 2022 | 92.04 |
| Dec 31, 2021 | 221.19 |
| Sep 30, 2021 | 120.75 |
| Jun 30, 2021 | 28.02 |
| Mar 31, 2021 | 46.82 |
| Dec 31, 2020 | 41.94 |
| Sep 30, 2020 | 24.91 |
| Jun 30, 2020 | 18.73 |
| Mar 31, 2020 | 11.82 |
| Dec 31, 2019 | 14.53 |
| Sep 30, 2019 | 12.88 |
API Access
Albemarle Price to Earnings 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=price-to-earnings&ticker=ALB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-earnings", "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=price-to-earnings&ticker=ALB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();