Alcoa (AA) EPS (Diluted) (2015 - 2026)
Alcoa (AA) reported EPS (Diluted) of $1.53 for Q2 2026, up 142.6% from $0.63 a year earlier but down 4.2% from the prior quarter.
Alcoa (AA) EPS (Diluted) (2015 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Alcoa's EPS (Diluted) came in at $4.80, up 24.3% year-over-year; for FY2025, it came in at $4.43.
- By year, EPS (Diluted) came in at $0.28 in FY2024, -$3.66 in FY2023, -$0.68 in FY2022 and $2.26 in FY2021.
- Five-year quarterly EPS (Diluted) spans a low of -$4.17 in Q3 2022 and a high of $2.95 in Q2 2022.
- Year over year, EPS (Diluted) gained in three of the last five quarters, with growth averaging 141.4%.
- Per Business Quant data, the three quarters before Q2 2026 came in at $1.60 (Q1 2026), $0.82 (Q4 2025) and $0.89 (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EPS (Diluted) (Qtr) |
|---|---|---|---|---|---|
| 1 | Rio Tinto | 179.45 Bn | 145.58 Bn | - | - |
| 2 | Southern Copper | 169.08 Bn | 147.94 Bn | 2.90 Bn | 2.01 |
| 3 | Newmont | 122.31 Bn | 90.49 Bn | 4.03 Bn | 2.06 |
| 4 | Ternium | 109.20 Bn | 74.25 Bn | 941.02 Mn | - |
| 5 | Freeport-Mcmoran | 103.31 Bn | 99.46 Bn | 2.19 Bn | 0.68 |
| 6 | Agnico Eagle Mines | 92.04 Bn | 92.04 Bn | 2.43 Bn | 3.18 |
| 7 | Barrick Mining | 68.84 Bn | 53.58 Bn | 2.90 Bn | 1.11 |
| 8 | Nucor | 55.48 Bn | 46.02 Bn | 2.03 Bn | 5.06 |
| 9 | ArcelorMittal | 53.16 Bn | 34.19 Bn | - | 2.69 |
| 10 | Alcoa | 11.15 Bn | 5.43 Bn | 999.00 Mn | 1.53 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.53 |
| Mar 31, 2026 | 1.60 |
| Dec 31, 2025 | 0.82 |
| Sep 30, 2025 | 0.89 |
| Jun 30, 2025 | 0.63 |
| Mar 31, 2025 | 2.11 |
| Dec 31, 2024 | 0.94 |
| Sep 30, 2024 | 0.38 |
| Jun 30, 2024 | 0.11 |
| Mar 31, 2024 | -1.41 |
| Dec 31, 2023 | -0.84 |
| Sep 30, 2023 | -0.94 |
| Jun 30, 2023 | -0.57 |
| Mar 31, 2023 | -1.30 |
| Dec 31, 2022 | -2.18 |
| Sep 30, 2022 | -4.17 |
| Jun 30, 2022 | 2.95 |
| Mar 31, 2022 | 2.49 |
| Dec 31, 2021 | -2.06 |
| Sep 30, 2021 | 1.76 |
Alcoa EPS (Diluted) 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=eps-diluted&ticker=AA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "eps-diluted", "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=eps-diluted&ticker=AA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();