Albemarle (ALB) Capital Expenditures (2009 - 2026)
Albemarle (ALB) reported Capital Expenditures of $71.73 million for Q2 2026, down 40.0% from $119.63 million a year earlier and down 27.3% from the prior quarter.
Albemarle (ALB) Capital Expenditures (2009 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Albemarle's Capital Expenditures came in at $457.96 million, down 51.7% year-over-year; for FY2025, it came in at $589.8 million, down 64.9% from FY2024.
- Capital Expenditures has a five-year compound annual growth rate of -7.1% (FY2020 to FY2025).
- By year, Capital Expenditures came in at $1.68 billion in FY2024 (-22.0%), $2.15 billion in FY2023 (+70.8%), $1.26 billion in FY2022 (+32.3%) and $953.67 million in FY2021 (+12.1%).
- The Q2 2026 figure ranks as the lowest quarterly Capital Expenditures since Q2 2017.
- Year over year, Capital Expenditures has now declined in each of the last nine quarters, with an average decline of 54.3% over the last eight quarters.
- The high point for year-over-year Capital Expenditures in five years was Q2 2023 (growth of 85.9%); the low point was Q2 2025 (a decline of 73.5%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $98.68 million (Q1 2026), $155.39 million (Q4 2025) and $132.16 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Capex (Qtr) |
|---|---|---|---|---|---|
| 1 | Rio Tinto | 181.90 Bn | 148.03 Bn | - | - |
| 2 | Southern Copper | 169.19 Bn | 148.06 Bn | 2.90 Bn | 422.80 Mn |
| 3 | Newmont | 121.55 Bn | 89.73 Bn | 4.03 Bn | 719.00 Mn |
| 4 | Ternium | 108.92 Bn | 73.97 Bn | 941.02 Mn | -431.28 Mn |
| 5 | Freeport-Mcmoran | 100.46 Bn | 96.62 Bn | 2.19 Bn | 1.10 Bn |
| 6 | Agnico Eagle Mines | 91.62 Bn | 91.62 Bn | 2.43 Bn | - |
| 7 | Barrick Mining | 68.12 Bn | 52.86 Bn | 2.90 Bn | -1.19 Bn |
| 8 | Nucor | 53.04 Bn | 43.58 Bn | 2.03 Bn | 571.00 Mn |
| 9 | ArcelorMittal | 50.74 Bn | 31.77 Bn | - | -1.10 Bn |
| 10 | Albemarle | 12.48 Bn | 6.47 Bn | 590.30 Mn | 71.73 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 71.73 Mn |
| Mar 31, 2026 | 98.68 Mn |
| Dec 31, 2025 | 155.39 Mn |
| Sep 30, 2025 | 132.16 Mn |
| Jun 30, 2025 | 119.63 Mn |
| Mar 31, 2025 | 182.62 Mn |
| Dec 31, 2024 | 342.81 Mn |
| Sep 30, 2024 | 303.13 Mn |
| Jun 30, 2024 | 451.55 Mn |
| Mar 31, 2024 | 583.04 Mn |
| Dec 31, 2023 | 689.35 Mn |
| Sep 30, 2023 | 545.90 Mn |
| Jun 30, 2023 | 503.69 Mn |
| Mar 31, 2023 | 415.61 Mn |
| Dec 31, 2022 | 445.71 Mn |
| Sep 30, 2022 | 313.33 Mn |
| Jun 30, 2022 | 270.91 Mn |
| Mar 31, 2022 | 231.70 Mn |
| Dec 31, 2021 | 300.93 Mn |
| Sep 30, 2021 | 255.82 Mn |
Albemarle Capital Expenditures 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=capital-expenditures&ticker=ALB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "capital-expenditures", "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=capital-expenditures&ticker=ALB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();