Albemarle (ALB) Other Accumulated Expenses (2009 - 2026)
Albemarle (ALB) posted Other Accumulated Expenses of $1.01 billion for Q1 2023, up 95.4% from the prior quarter.
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Analysis
Albemarle (ALB) Other Accumulated Expenses (2009 - 2026) Analysis & Trends
At the end of FY2022, Albemarle's Other Accumulated Expenses came in at $518.38 million, up 991.3% from FY2021.
- In prior years, Albemarle's Other Accumulated Expenses was $47.5 million in FY2021.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Nucor | 175.24 Bn | 165.01 Bn | 2.33 Bn |
| 2 | Rio Tinto | 166.15 Bn | 128.95 Bn | - |
| 3 | Southern Copper | 143.83 Bn | 118.64 Bn | 3.10 Bn |
| 4 | Rio Tinto | 137.31 Bn | 104.37 Bn | - |
| 5 | Newmont | 124.66 Bn | 89.98 Bn | 4.22 Bn |
| 6 | Ternium | 102.52 Bn | 75.29 Bn | 1.04 Bn |
| 7 | Agnico Eagle Mines | 95.19 Bn | 82.13 Bn | 2.15 Bn |
| 8 | Freeport-Mcmoran | 86.53 Bn | 83.18 Bn | 2.55 Bn |
| 9 | Barrick Mining | 66.50 Bn | 50.91 Bn | 2.71 Bn |
| 10 | Albemarle | 11.20 Bn | 4.92 Bn | 300.72 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 330.11 Mn |
| Jun 30, 2026 | 445.42 Mn |
| Mar 31, 2026 | 256.63 Mn |
| Dec 31, 2025 | 134.37 Mn |
| Sep 30, 2025 | 122.79 Mn |
| Jun 30, 2025 | 121.46 Mn |
| Mar 31, 2025 | 139.30 Mn |
| Dec 31, 2024 | 150.43 Mn |
| Sep 30, 2024 | 152.09 Mn |
| Jun 30, 2024 | 184.20 Mn |
| Mar 31, 2024 | 129.61 Mn |
| Dec 31, 2023 | 550.19 Mn |
| Sep 30, 2023 | 795.09 Mn |
| Jun 30, 2023 | 1.09 Bn |
| Mar 31, 2023 | 1.01 Bn |
| Dec 31, 2022 | 518.38 Mn |
| Dec 31, 2021 | 47.50 Mn |
| Sep 30, 2015 | 982.21 Mn |
| Jun 30, 2015 | 940.33 Mn |
| Mar 31, 2015 | 940.33 Mn |
API Access
Albemarle Other Accumulated Expenses 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=other-accumulated-expenses&ticker=ALB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-accumulated-expenses", "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=other-accumulated-expenses&ticker=ALB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();