Alcoa (AA) Property, Plant & Equipment (Net) (2015 - 2026)
Alcoa (AA) posted Property, Plant & Equipment (Net) of $6.9 billion for Q2 2026, up 3.4% from $6.67 billion a year earlier and up 0.6% from the prior quarter.
Alcoa (AA) Property, Plant & Equipment (Net) (2015 - 2026) Analysis & Trends
At the end of FY2025, Alcoa's Property, Plant & Equipment (Net) came in at $6.7 billion, up 4.9% from FY2024.
- Annual Property, Plant & Equipment (Net) shows a five-year compound annual growth rate of -1.4% (FY2020 to FY2025).
- In prior years, Alcoa's Property, Plant & Equipment (Net) was $6.39 billion in FY2024 (-5.8%), $6.79 billion in FY2023 (+4.5%), $6.49 billion in FY2022 (-2.0%) and $6.62 billion in FY2021 (-7.9%).
- The Q2 2026 figure stands as the highest quarterly Property, Plant & Equipment (Net) since Q2 2021.
- On a year-over-year basis, Property, Plant & Equipment (Net) has increased in each of the last three quarters, with growth averaging 1.4% over the last eight quarters.
- The strongest year-over-year quarter for Property, Plant & Equipment (Net) in the past five years was Q1 2026, with growth of 5.6%; the weakest was Q4 2021, with a decline of 7.9%.
- According to Business Quant data, Property, Plant & Equipment (Net) for the three prior quarters was $6.86 billion (Q1 2026), $6.7 billion (Q4 2025) and $6.63 billion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Net) (Qtr) |
|---|---|---|---|---|---|
| 1 | Rio Tinto | 193.68 Bn | 159.81 Bn | - | 88.03 Bn |
| 2 | Southern Copper | 171.36 Bn | 150.22 Bn | 2.90 Bn | 10.66 Bn |
| 3 | Newmont | 121.76 Bn | 89.94 Bn | 4.03 Bn | 33.58 Bn |
| 4 | Ternium | 113.51 Bn | 78.56 Bn | 941.02 Mn | 10.97 Bn |
| 5 | Freeport-Mcmoran | 103.45 Bn | 99.60 Bn | 2.19 Bn | 41.71 Bn |
| 6 | Agnico Eagle Mines | 91.92 Bn | 91.92 Bn | 2.43 Bn | 25.74 Bn |
| 7 | Barrick Mining | 67.42 Bn | 52.16 Bn | 2.90 Bn | 30.47 Bn |
| 8 | Nucor | 54.54 Bn | 45.08 Bn | 2.03 Bn | 15.86 Bn |
| 9 | ArcelorMittal | 49.09 Bn | 30.12 Bn | - | 41.40 Bn |
| 10 | Alcoa | 11.07 Bn | 5.35 Bn | 999.00 Mn | 6.90 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 6.90 Bn |
| Mar 31, 2026 | 6.86 Bn |
| Dec 31, 2025 | 6.70 Bn |
| Sep 30, 2025 | 6.63 Bn |
| Jun 30, 2025 | 6.67 Bn |
| Mar 31, 2025 | 6.50 Bn |
| Dec 31, 2024 | 6.39 Bn |
| Sep 30, 2024 | 6.72 Bn |
| Jun 30, 2024 | 6.50 Bn |
| Mar 31, 2024 | 6.58 Bn |
| Dec 31, 2023 | 6.79 Bn |
| Sep 30, 2023 | 6.53 Bn |
| Jun 30, 2023 | 6.45 Bn |
| Mar 31, 2023 | 6.43 Bn |
| Dec 31, 2022 | 6.49 Bn |
| Sep 30, 2022 | 6.25 Bn |
| Jun 30, 2022 | 6.46 Bn |
| Mar 31, 2022 | 6.82 Bn |
| Dec 31, 2021 | 6.62 Bn |
| Sep 30, 2021 | 6.68 Bn |
Alcoa Property, Plant & Equipment (Net) 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=property-plant-and-equipment-net&ticker=AA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "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=property-plant-and-equipment-net&ticker=AA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();