Albemarle (ALB) Restructuring Costs (2009 - 2025)
Albemarle (ALB) recorded Restructuring Costs of $7.7 million in FY2025, down 99.3% from $1.13 billion in FY2024.
Analysis
Albemarle (ALB) Restructuring Costs (2009 - 2025) Analysis & Trends
Starting with FY2009, Albemarle's Restructuring Costs history includes 10 years.
- The FY2025 figure is the lowest annual Restructuring Costs since FY2010.
- Per Business Quant data, ALB's Restructuring Costs was $1.13 billion in FY2024 and $9.49 million in FY2023.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Rio Tinto | 181.90 Bn | 148.03 Bn | - |
| 2 | Southern Copper | 169.19 Bn | 148.06 Bn | 2.90 Bn |
| 3 | Newmont | 121.55 Bn | 89.73 Bn | 4.03 Bn |
| 4 | Ternium | 108.92 Bn | 73.97 Bn | 941.02 Mn |
| 5 | Freeport-Mcmoran | 100.46 Bn | 96.62 Bn | 2.19 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 |
| 8 | Nucor | 53.04 Bn | 43.58 Bn | 2.03 Bn |
| 9 | ArcelorMittal | 50.74 Bn | 31.77 Bn | - |
| 10 | Albemarle | 12.48 Bn | 6.47 Bn | 590.30 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2025 | 4.45 Mn |
| Mar 31, 2025 | -1.06 Mn |
| Dec 31, 2024 | -22.21 Mn |
| Sep 30, 2024 | 828.15 Mn |
| Jun 30, 2024 | 294.84 Mn |
| Mar 31, 2024 | 33.54 Mn |
| Dec 31, 2023 | 295,000.00 |
| Sep 30, 2023 | 1.76 Mn |
| Dec 31, 2016 | 13.05 Mn |
| Sep 30, 2016 | 6.75 Mn |
| Jun 30, 2016 | 19.03 Mn |
| Mar 31, 2016 | 18.56 Mn |
| Dec 31, 2015 | 15.13 Mn |
| Sep 30, 2015 | 36.51 Mn |
| Jun 30, 2015 | 22.83 Mn |
| Mar 31, 2015 | 57.83 Mn |
| Dec 31, 2014 | 15.05 Mn |
| Sep 30, 2014 | 10.26 Mn |
| Jun 30, 2014 | 4.84 Mn |
| Mar 31, 2014 | 17.00 Mn |
API Access
Albemarle Restructuring Costs 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=restructuring-costs&ticker=ALB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "restructuring-costs", "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=restructuring-costs&ticker=ALB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();