Alcoa (AA) Selling, General & Administrative (2015 - 2026)
Alcoa (AA) posted Selling, General & Administrative of $101 million for Q2 2026, up 23.2% from $82 million a year earlier and up 21.7% from the prior quarter.
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Analysis
Alcoa (AA) Selling, General & Administrative (2015 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Selling, General & Administrative at Alcoa was $330 million, up 10.4% year-over-year; for FY2025, it was $299 million, up 8.7% from FY2024.
- Annual Selling, General & Administrative has increased for three consecutive years, with a five-year compound annual growth rate of 7.7% (FY2020 to FY2025).
- In prior years, Alcoa's Selling, General & Administrative was $275 million in FY2024 (+21.7%), $226 million in FY2023 (+10.8%), $204 million in FY2022 (-10.1%) and $227 million in FY2021 (+10.2%).
- The Q2 2026 figure stands as the highest quarterly Selling, General & Administrative in data going back to Q3 2015.
- On a year-over-year basis, Selling, General & Administrative increased in seven of the last eight quarters, with growth averaging 15.4%.
- The strongest year-over-year quarter for Selling, General & Administrative in the past five years was Q2 2024, with growth of 32.7%; the weakest was Q3 2022, with a decline of 17.0%.
- According to Business Quant data, Selling, General & Administrative for the three prior quarters was $83 million (Q1 2026), $68 million (Q4 2025) and $78 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Rio Tinto | 181.90 Bn | 148.03 Bn | - | - |
| 2 | Southern Copper | 169.19 Bn | 148.06 Bn | 2.90 Bn | 35.30 Mn |
| 3 | Newmont | 121.55 Bn | 89.73 Bn | 4.03 Bn | 74.00 Mn |
| 4 | Ternium | 108.92 Bn | 73.97 Bn | 941.02 Mn | -427.80 Mn |
| 5 | Freeport-Mcmoran | 100.46 Bn | 96.62 Bn | 2.19 Bn | 135.00 Mn |
| 6 | Agnico Eagle Mines | 91.62 Bn | 91.62 Bn | 2.43 Bn | 57.95 Mn |
| 7 | Barrick Mining | 68.12 Bn | 52.86 Bn | 2.90 Bn | 31.00 Mn |
| 8 | Nucor | 53.04 Bn | 43.58 Bn | 2.03 Bn | 405.00 Mn |
| 9 | ArcelorMittal | 50.74 Bn | 31.77 Bn | - | - |
| 10 | Alcoa | 11.08 Bn | 5.36 Bn | 999.00 Mn | 101.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 101.00 Mn |
| Mar 31, 2026 | 83.00 Mn |
| Dec 31, 2025 | 68.00 Mn |
| Sep 30, 2025 | 78.00 Mn |
| Jun 30, 2025 | 82.00 Mn |
| Mar 31, 2025 | 71.00 Mn |
| Dec 31, 2024 | 80.00 Mn |
| Sep 30, 2024 | 66.00 Mn |
| Jun 30, 2024 | 69.00 Mn |
| Mar 31, 2024 | 60.00 Mn |
| Dec 31, 2023 | 64.00 Mn |
| Sep 30, 2023 | 56.00 Mn |
| Jun 30, 2023 | 52.00 Mn |
| Mar 31, 2023 | 54.00 Mn |
| Dec 31, 2022 | 64.00 Mn |
| Sep 30, 2022 | 44.00 Mn |
| Jun 30, 2022 | 52.00 Mn |
| Mar 31, 2022 | 44.00 Mn |
| Dec 31, 2021 | 68.00 Mn |
| Sep 30, 2021 | 53.00 Mn |
API Access
Alcoa Selling, General & Administrative 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=selling-general-and-administrative&ticker=AA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=AA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();