Alcoa (AA) Sales of Property, Plant and Equipment (2019 - 2026)
Alcoa (AA) posted Sales of Property, Plant and Equipment of $1 million for Q2 2026, down 75.0% from the prior quarter.
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Analysis
Alcoa (AA) Sales of Property, Plant and Equipment (2019 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Sales of Property, Plant and Equipment at Alcoa was $10 million, up 900.0% year-over-year; for FY2025, it came in at $5 million, up 66.7% from FY2024.
- Annual Sales of Property, Plant and Equipment shows a five-year compound annual growth rate of -52.1% (FY2020 to FY2025).
- In prior years, Alcoa's Sales of Property, Plant and Equipment was $3 million in FY2024 (-25.0%), $4 million in FY2023 (-20.0%), $5 million in FY2022 (-99.5%) and $966 million in FY2021 (+387.9%).
- Quarterly Sales of Property, Plant and Equipment has run from a low of $1 million in Q3 2022 to a high of $251 million in Q4 2021 over five years.
- The strongest year-over-year quarter for Sales of Property, Plant and Equipment in the past five years was Q4 2025, with growth of 100.0%; the weakest was Q1 2022, with a decline of 99.7%.
- According to Business Quant data, Sales of Property, Plant and Equipment for the three prior quarters was $4 million (Q1 2026), $2 million (Q4 2025) and $3 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Sale) (Qtr) |
|---|---|---|---|---|---|
| 1 | Rio Tinto | 193.68 Bn | 159.81 Bn | - | - |
| 2 | Southern Copper | 171.36 Bn | 150.22 Bn | 2.90 Bn | - |
| 3 | Newmont | 121.76 Bn | 89.94 Bn | 4.03 Bn | 9.00 Mn |
| 4 | Ternium | 113.51 Bn | 78.56 Bn | 941.02 Mn | - |
| 5 | Freeport-Mcmoran | 103.45 Bn | 99.60 Bn | 2.19 Bn | - |
| 6 | Agnico Eagle Mines | 91.92 Bn | 91.92 Bn | 2.43 Bn | - |
| 7 | Barrick Mining | 67.42 Bn | 52.16 Bn | 2.90 Bn | 6.00 Mn |
| 8 | Nucor | 54.54 Bn | 45.08 Bn | 2.03 Bn | 7.00 Mn |
| 9 | ArcelorMittal | 49.09 Bn | 30.12 Bn | - | - |
| 10 | Alcoa | 11.07 Bn | 5.35 Bn | 999.00 Mn | 1.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.00 Mn |
| Mar 31, 2026 | 4.00 Mn |
| Dec 31, 2025 | 2.00 Mn |
| Sep 30, 2025 | 3.00 Mn |
| Dec 31, 2024 | 1.00 Mn |
| Jun 30, 2024 | 1.00 Mn |
| Mar 31, 2024 | 1.00 Mn |
| Dec 31, 2023 | 2.00 Mn |
| Jun 30, 2023 | 1.00 Mn |
| Mar 31, 2023 | 1.00 Mn |
| Sep 30, 2022 | 1.00 Mn |
| Jun 30, 2022 | 2.00 Mn |
| Mar 31, 2022 | 2.00 Mn |
| Dec 31, 2021 | 251.00 Mn |
| Sep 30, 2021 | 10.00 Mn |
| Jun 30, 2021 | 114.00 Mn |
| Mar 31, 2021 | 591.00 Mn |
| Sep 30, 2020 | -1.00 Mn |
| Mar 31, 2020 | 199.00 Mn |
| Sep 30, 2019 | 12.00 Mn |
API Access
Alcoa Sales of Property, Plant and Equipment 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=sales-of-property-plant-and-equipment&ticker=AA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "sales-of-property-plant-and-equipment", "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=sales-of-property-plant-and-equipment&ticker=AA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();