Alcoa (AA) Price to Earnings (2017 - 2026)
Alcoa's (AA) Price to Earnings stood at 10.78 in Q2 2026, up 41.6% from 7.61 a year earlier but down 36.3% from the prior quarter.
Analysis
Alcoa (AA) Price to Earnings (2017 - 2026) Analysis & Trends
For FY2025, Alcoa's Price to Earnings came in at 12.12, down 92.7% from FY2024.
- Across earlier years, Price to Earnings came in at 165.56 in FY2024 and 25.57 in FY2021.
- Quarterly Price to Earnings has ranged from 7.43 in Q3 2025 to 165.56 in Q4 2024 over the past five years.
- Per Business Quant, the preceding three quarters came in at 16.93 (Q1 2026), 12.12 (Q4 2025) and 7.43 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Rio Tinto | 181.90 Bn | 148.03 Bn | - |
| 2 | Southern Copper | 169.19 Bn | 148.06 Bn | 2.90 Bn |
| 3 | Newmont | 121.55 Bn | 89.73 Bn | 4.03 Bn |
| 4 | Ternium | 108.92 Bn | 73.97 Bn | 941.02 Mn |
| 5 | Freeport-Mcmoran | 100.46 Bn | 96.62 Bn | 2.19 Bn |
| 6 | Agnico Eagle Mines | 91.62 Bn | 91.62 Bn | 2.43 Bn |
| 7 | Barrick Mining | 68.12 Bn | 52.86 Bn | 2.90 Bn |
| 8 | Nucor | 53.04 Bn | 43.58 Bn | 2.03 Bn |
| 9 | ArcelorMittal | 50.74 Bn | 31.77 Bn | - |
| 10 | Alcoa | 11.08 Bn | 5.36 Bn | 999.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 10.78 |
| Mar 31, 2026 | 16.93 |
| Dec 31, 2025 | 12.12 |
| Sep 30, 2025 | 7.43 |
| Jun 30, 2025 | 7.61 |
| Mar 31, 2025 | 9.18 |
| Dec 31, 2024 | 165.56 |
| Jun 30, 2022 | 8.52 |
| Mar 31, 2022 | 22.97 |
| Dec 31, 2021 | 25.57 |
| Sep 30, 2021 | 11.21 |
| Jun 30, 2021 | 15.97 |
| Dec 31, 2018 | 19.72 |
| Sep 30, 2018 | 2,511.45 |
| Jun 30, 2018 | 71.65 |
| Mar 31, 2018 | 44.83 |
| Dec 31, 2017 | 46.22 |
| Sep 30, 2017 | 29.95 |
| Jun 30, 2017 | 36.48 |
| Mar 31, 2017 | 181.08 |
API Access
Alcoa Price to Earnings 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=price-to-earnings&ticker=AA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-earnings", "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=price-to-earnings&ticker=AA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();