Albemarle (ALB) Total Liabilities (2009 - 2026)
Albemarle's Total Liabilities was $5.37 billion in Q2 2026, down 20.9% from $6.79 billion a year earlier but up 6.8% from the prior quarter.
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Analysis
Albemarle (ALB) Total Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, Total Liabilities at Albemarle came in at $6.59 billion, up 2.9% from FY2024.
- Total Liabilities shows a five-year compound annual growth rate of 2.0% (FY2020 to FY2025).
- In earlier years, Total Liabilities was $6.41 billion in FY2024 (-25.5%), $8.61 billion in FY2023 (+18.4%), $7.27 billion in FY2022 (+40.6%) and $5.17 billion in FY2021 (-13.6%).
- Quarterly Total Liabilities has moved between $4.94 billion (Q3 2021) and $9.02 billion (Q2 2023) over five years.
- Compared with a year earlier, Total Liabilities was higher in 1 of the last eight quarters, with an average decline of 12.3%.
- The best year-over-year quarter for Total Liabilities over five years was Q1 2023 (growth of 50.6%); the worst was Q4 2024 (a decline of 25.5%).
- Per Business Quant data, ALB's Total Liabilities in the three quarters before Q2 2026 was $5.03 billion (Q1 2026), $6.59 billion (Q4 2025) and $6.88 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Rio Tinto | 181.90 Bn | 148.03 Bn | - | 61.80 Bn |
| 2 | Southern Copper | 169.19 Bn | 148.06 Bn | 2.90 Bn | 11.42 Bn |
| 3 | Newmont | 121.55 Bn | 89.73 Bn | 4.03 Bn | 22.23 Bn |
| 4 | Ternium | 108.92 Bn | 73.97 Bn | 941.02 Mn | 7.81 Bn |
| 5 | Freeport-Mcmoran | 100.46 Bn | 96.62 Bn | 2.19 Bn | 27.51 Bn |
| 6 | Agnico Eagle Mines | 91.62 Bn | 91.62 Bn | 2.43 Bn | 9.19 Bn |
| 7 | Barrick Mining | 68.12 Bn | 52.86 Bn | 2.90 Bn | 15.50 Bn |
| 8 | Nucor | 53.04 Bn | 43.58 Bn | 2.03 Bn | 13.69 Bn |
| 9 | ArcelorMittal | 50.74 Bn | 31.77 Bn | - | 42.33 Bn |
| 10 | Albemarle | 12.48 Bn | 6.47 Bn | 590.30 Mn | 5.37 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 5.37 Bn |
| Mar 31, 2026 | 5.03 Bn |
| Dec 31, 2025 | 6.59 Bn |
| Sep 30, 2025 | 6.88 Bn |
| Jun 30, 2025 | 6.79 Bn |
| Mar 31, 2025 | 6.72 Bn |
| Dec 31, 2024 | 6.41 Bn |
| Sep 30, 2024 | 6.96 Bn |
| Jun 30, 2024 | 6.91 Bn |
| Mar 31, 2024 | 7.23 Bn |
| Dec 31, 2023 | 8.61 Bn |
| Sep 30, 2023 | 8.72 Bn |
| Jun 30, 2023 | 9.02 Bn |
| Mar 31, 2023 | 8.11 Bn |
| Dec 31, 2022 | 7.27 Bn |
| Sep 30, 2022 | 6.86 Bn |
| Jun 30, 2022 | 6.22 Bn |
| Mar 31, 2022 | 5.38 Bn |
| Dec 31, 2021 | 5.17 Bn |
| Sep 30, 2021 | 4.94 Bn |
API Access
Albemarle Total Liabilities 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=total-liabilities&ticker=ALB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=ALB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();