Alcoa (AA) EV to EBITDA (2017 - 2026)
Alcoa's (AA) EV to EBITDA came in at 6.40 for Q2 2026, up 177.9% from 2.30 a year earlier but down 48.8% from the prior quarter.
Alcoa (AA) EV to EBITDA (2017 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, EV to EBITDA at Alcoa was 4.13, up 333.3% year-over-year; for FY2025, it was 8.04, up 66.3% from FY2024.
- In prior years, Alcoa's EV to EBITDA was 4.83 in FY2024 (-53.5%), 10.39 in FY2023 (+65.5%), 6.28 in FY2022 (+32.8%) and 4.73 in FY2021 (+75.8%).
- Quarterly EV to EBITDA has run from a low of 2.30 in Q2 2025 to a high of 42.92 in Q2 2023 over five years.
- On a year-over-year basis, EV to EBITDA has increased in each of the last three quarters, with growth averaging 45.8% over the last eight quarters.
- The strongest year-over-year quarter for EV to EBITDA in the past five years was Q1 2026, with growth of 402.1%; the weakest was Q2 2025, with a decline of 78.3%.
- According to Business Quant data, EV to EBITDA for the three prior quarters was 12.51 (Q1 2026), 8.04 (Q4 2025) and 4.36 (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Rio Tinto | 179.45 Bn | 145.58 Bn | - |
| 2 | Southern Copper | 169.08 Bn | 147.94 Bn | 2.90 Bn |
| 3 | Newmont | 122.31 Bn | 90.49 Bn | 4.03 Bn |
| 4 | Ternium | 109.20 Bn | 74.25 Bn | 941.02 Mn |
| 5 | Freeport-Mcmoran | 103.31 Bn | 99.46 Bn | 2.19 Bn |
| 6 | Agnico Eagle Mines | 92.04 Bn | 92.04 Bn | 2.43 Bn |
| 7 | Barrick Mining | 68.84 Bn | 53.58 Bn | 2.90 Bn |
| 8 | Nucor | 55.48 Bn | 46.02 Bn | 2.03 Bn |
| 9 | ArcelorMittal | 53.16 Bn | 34.19 Bn | - |
| 10 | Alcoa | 11.15 Bn | 5.43 Bn | 999.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 6.40 |
| Mar 31, 2026 | 12.51 |
| Dec 31, 2025 | 8.04 |
| Sep 30, 2025 | 4.36 |
| Jun 30, 2025 | 2.30 |
| Mar 31, 2025 | 2.49 |
| Dec 31, 2024 | 4.83 |
| Sep 30, 2024 | 6.44 |
| Jun 30, 2024 | 10.62 |
| Mar 31, 2024 | 11.34 |
| Dec 31, 2023 | 10.39 |
| Sep 30, 2023 | 10.33 |
| Jun 30, 2023 | 42.92 |
| Mar 31, 2023 | 11.23 |
| Dec 31, 2022 | 6.28 |
| Sep 30, 2022 | 3.42 |
| Jun 30, 2022 | 2.74 |
| Mar 31, 2022 | 6.25 |
| Dec 31, 2021 | 4.73 |
| Sep 30, 2021 | 3.37 |
Alcoa EV to EBITDA 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=ev-to-ebitda&ticker=AA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-ebitda", "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=ev-to-ebitda&ticker=AA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();