Albemarle (ALB) Property, Plant & Equipment (Net) (2009 - 2026)
Albemarle's Property, Plant & Equipment (Net) came in at $8.46 billion for Q2 2026, down 8.6% from $9.25 billion a year earlier and down 0.8% from the prior quarter.
Albemarle (ALB) Property, Plant & Equipment (Net) (2009 - 2026) Analysis & Trends
At the end of FY2025, Albemarle's Property, Plant & Equipment (Net) was $8.61 billion, down 7.7% from FY2024.
- Property, Plant & Equipment (Net) carries a five-year compound annual growth rate of 10.0% (FY2020 to FY2025).
- Going back by year, Property, Plant & Equipment (Net) was $9.33 billion in FY2024 (-1.7%), $9.5 billion in FY2023 (+36.4%), $6.96 billion in FY2022 (+17.8%) and $5.91 billion in FY2021 (+10.4%).
- The Q2 2026 figure represents the lowest quarterly Property, Plant & Equipment (Net) since Q3 2023.
- Year-over-year, Property, Plant & Equipment (Net) has declined for seven consecutive quarters, with an average decline of 3.2% over the last eight quarters.
- The fastest year-over-year change in Property, Plant & Equipment (Net) over five years came in Q4 2023 (growth of 36.4%), and the weakest in Q2 2026 (a decline of 8.6%).
- Business Quant data shows ALB's Property, Plant & Equipment (Net) at $8.53 billion (Q1 2026), $8.61 billion (Q4 2025) and $9.22 billion (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Net) (Qtr) |
|---|---|---|---|---|---|
| 1 | Rio Tinto | 193.68 Bn | 159.81 Bn | - | 88.03 Bn |
| 2 | Southern Copper | 171.36 Bn | 150.22 Bn | 2.90 Bn | 10.66 Bn |
| 3 | Newmont | 121.76 Bn | 89.94 Bn | 4.03 Bn | 33.58 Bn |
| 4 | Ternium | 113.51 Bn | 78.56 Bn | 941.02 Mn | 10.97 Bn |
| 5 | Freeport-Mcmoran | 103.45 Bn | 99.60 Bn | 2.19 Bn | 41.71 Bn |
| 6 | Agnico Eagle Mines | 91.92 Bn | 91.92 Bn | 2.43 Bn | 25.74 Bn |
| 7 | Barrick Mining | 67.42 Bn | 52.16 Bn | 2.90 Bn | 30.47 Bn |
| 8 | Nucor | 54.54 Bn | 45.08 Bn | 2.03 Bn | 15.86 Bn |
| 9 | ArcelorMittal | 49.09 Bn | 30.12 Bn | - | 41.40 Bn |
| 10 | Albemarle | 12.34 Bn | 6.33 Bn | 590.30 Mn | 8.46 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 8.46 Bn |
| Mar 31, 2026 | 8.53 Bn |
| Dec 31, 2025 | 8.61 Bn |
| Sep 30, 2025 | 9.22 Bn |
| Jun 30, 2025 | 9.25 Bn |
| Mar 31, 2025 | 9.30 Bn |
| Dec 31, 2024 | 9.33 Bn |
| Sep 30, 2024 | 9.26 Bn |
| Jun 30, 2024 | 9.84 Bn |
| Mar 31, 2024 | 9.76 Bn |
| Dec 31, 2023 | 9.50 Bn |
| Sep 30, 2023 | 8.31 Bn |
| Jun 30, 2023 | 7.85 Bn |
| Mar 31, 2023 | 7.35 Bn |
| Dec 31, 2022 | 6.96 Bn |
| Sep 30, 2022 | 6.43 Bn |
| Jun 30, 2022 | 6.21 Bn |
| Mar 31, 2022 | 6.03 Bn |
| Dec 31, 2021 | 5.91 Bn |
| Sep 30, 2021 | 5.66 Bn |
Albemarle Property, Plant & Equipment (Net) 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=property-plant-and-equipment-net&ticker=ALB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "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=property-plant-and-equipment-net&ticker=ALB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();