Alcoa (AA) Total Liabilities (2015 - 2026)
Alcoa (AA) reported Total Liabilities of $9.48 billion for Q2 2026, up 7.1% from $8.86 billion a year earlier but down 3.4% from the prior quarter.
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Analysis
Alcoa (AA) Total Liabilities (2015 - 2026) Analysis & Trends
At the end of FY2025, Alcoa posted Total Liabilities of $10.01 billion, up 12.4% from FY2024.
- Total Liabilities has increased for three consecutive years, with a five-year compound annual growth rate of 0.3% (FY2020 to FY2025).
- By year, Total Liabilities came in at $8.91 billion in FY2024 (+7.2%), $8.31 billion in FY2023 (+1.8%), $8.17 billion in FY2022 (-6.6%) and $8.74 billion in FY2021 (-11.2%).
- Five-year quarterly Total Liabilities spans a low of $7.67 billion in Q2 2023 and a high of $10.01 billion in Q4 2025.
- Year over year, Total Liabilities has now increased in each of the last four quarters, with growth averaging 7.5% over the last eight quarters.
- The high point for year-over-year Total Liabilities in five years was Q3 2024 (growth of 18.7%); the low point was Q1 2023 (a decline of 17.0%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $9.81 billion (Q1 2026), $10.01 billion (Q4 2025) and $9.62 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Rio Tinto | 179.45 Bn | 145.58 Bn | - | 61.80 Bn |
| 2 | Southern Copper | 169.08 Bn | 147.94 Bn | 2.90 Bn | 11.42 Bn |
| 3 | Newmont | 122.31 Bn | 90.49 Bn | 4.03 Bn | 22.23 Bn |
| 4 | Ternium | 109.20 Bn | 74.25 Bn | 941.02 Mn | 7.81 Bn |
| 5 | Freeport-Mcmoran | 103.31 Bn | 99.46 Bn | 2.19 Bn | 27.51 Bn |
| 6 | Agnico Eagle Mines | 92.04 Bn | 92.04 Bn | 2.43 Bn | 9.19 Bn |
| 7 | Barrick Mining | 68.84 Bn | 53.58 Bn | 2.90 Bn | 15.50 Bn |
| 8 | Nucor | 55.48 Bn | 46.02 Bn | 2.03 Bn | 13.69 Bn |
| 9 | ArcelorMittal | 53.16 Bn | 34.19 Bn | - | 42.33 Bn |
| 10 | Alcoa | 11.15 Bn | 5.43 Bn | 999.00 Mn | 9.48 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 9.48 Bn |
| Mar 31, 2026 | 9.81 Bn |
| Dec 31, 2025 | 10.01 Bn |
| Sep 30, 2025 | 9.62 Bn |
| Jun 30, 2025 | 8.86 Bn |
| Mar 31, 2025 | 8.76 Bn |
| Dec 31, 2024 | 8.91 Bn |
| Sep 30, 2024 | 9.29 Bn |
| Jun 30, 2024 | 8.89 Bn |
| Mar 31, 2024 | 8.79 Bn |
| Dec 31, 2023 | 8.31 Bn |
| Sep 30, 2023 | 7.83 Bn |
| Jun 30, 2023 | 7.67 Bn |
| Mar 31, 2023 | 8.07 Bn |
| Dec 31, 2022 | 8.17 Bn |
| Sep 30, 2022 | 7.99 Bn |
| Jun 30, 2022 | 8.42 Bn |
| Mar 31, 2022 | 9.73 Bn |
| Dec 31, 2021 | 8.74 Bn |
| Sep 30, 2021 | 8.74 Bn |
API Access
Alcoa 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=AA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "ticker": "AA", "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=AA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();