Alcoa (AA) Operating Expenses (2015 - 2026)
Alcoa's Operating Expenses was $108 million in Q2 2026, unchanged from $108 million a year earlier and down 2.7% from the prior quarter.
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Analysis
Alcoa (AA) Operating Expenses (2015 - 2026) Analysis & Trends
On a trailing twelve-month basis, Alcoa's Operating Expenses was $1.26 billion through Jun 30, 2026, up 154.8% year-over-year; for FY2025, it came in at $1.24 billion, up 84.4% from FY2024.
- Operating Expenses shows a five-year compound annual growth rate of 29.8% (FY2020 to FY2025).
- In earlier years, Operating Expenses was $673 million in FY2024 (+49.9%), $449 million in FY2023 (-51.8%), $932 million in FY2022 (-32.8%) and $1.39 billion in FY2021 (+311.3%).
- Quarterly Operating Expenses has moved between -$16 million (Q2 2022) and $1.13 billion (Q4 2021) over five years.
- Compared with a year earlier, Operating Expenses was higher in five of the last eight quarters, with growth averaging 110.4%.
- The best year-over-year quarter for Operating Expenses over five years was Q4 2021 (growth of 813.7%); the worst was Q4 2022 (a decline of 94.1%).
- Per Business Quant data, AA's Operating Expenses in the three quarters before Q2 2026 was $111 million (Q1 2026), $71 million (Q4 2025) and $974 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Rio Tinto | 179.45 Bn | 145.58 Bn | - | - |
| 2 | Southern Copper | 169.08 Bn | 147.94 Bn | 2.90 Bn | 1.67 Bn |
| 3 | Newmont | 122.31 Bn | 90.49 Bn | 4.03 Bn | 3.02 Bn |
| 4 | Ternium | 109.20 Bn | 74.25 Bn | 941.02 Mn | -427.80 Mn |
| 5 | Freeport-Mcmoran | 103.31 Bn | 99.46 Bn | 2.19 Bn | 5.03 Bn |
| 6 | Agnico Eagle Mines | 92.04 Bn | 92.04 Bn | 2.43 Bn | 57.95 Mn |
| 7 | Barrick Mining | 68.84 Bn | 53.58 Bn | 2.90 Bn | 165.00 Mn |
| 8 | Nucor | 55.48 Bn | 46.02 Bn | 2.03 Bn | 405.00 Mn |
| 9 | ArcelorMittal | 53.16 Bn | 34.19 Bn | - | -780.00 Mn |
| 10 | Alcoa | 11.15 Bn | 5.43 Bn | 999.00 Mn | 108.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 108.00 Mn |
| Mar 31, 2026 | 111.00 Mn |
| Dec 31, 2025 | 71.00 Mn |
| Sep 30, 2025 | 974.00 Mn |
| Jun 30, 2025 | 108.00 Mn |
| Mar 31, 2025 | 88.00 Mn |
| Dec 31, 2024 | 188.00 Mn |
| Sep 30, 2024 | 112.00 Mn |
| Jun 30, 2024 | 100.00 Mn |
| Mar 31, 2024 | 273.00 Mn |
| Dec 31, 2023 | 67.00 Mn |
| Sep 30, 2023 | 87.00 Mn |
| Jun 30, 2023 | 82.00 Mn |
| Mar 31, 2023 | 213.00 Mn |
| Dec 31, 2022 | 67.00 Mn |
| Sep 30, 2022 | 703.00 Mn |
| Jun 30, 2022 | -16.00 Mn |
| Mar 31, 2022 | 178.00 Mn |
| Dec 31, 2021 | 1.13 Bn |
| Sep 30, 2021 | 94.00 Mn |
API Access
Alcoa Operating 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=operating-expenses&ticker=AA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=AA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();