Alcoa (AA) Return on Capital Employed [ROCE] (2016 - 2026)
Alcoa's Return on Capital Employed [ROCE] came in at 10.01% for Q2 2026, down 8.10 percentage points from 18.11% a year earlier but up 4.76 percentage points from the prior quarter.
Alcoa (AA) Return on Capital Employed [ROCE] (2016 - 2026) Analysis & Trends
For FY2025, Alcoa's Return on Capital Employed [ROCE] was 8.25%, down 2.74 percentage points from FY2024.
- Return on Capital Employed [ROCE] carries a five-year change of +0.07 percentage points (FY2020 to FY2025).
- Going back by year, Return on Capital Employed [ROCE] was 10.99% in FY2024 (+8.47 pp), 2.53% in FY2023 (-8.47 pp), 11.00% in FY2022 (-2.77 pp) and 13.76% in FY2021 (+5.59 pp).
- The five-year range for quarterly Return on Capital Employed [ROCE] is -3.26% (Q2 2023) to 18.61% (Q1 2025).
- Year-over-year, Return on Capital Employed [ROCE] has declined for three consecutive quarters, with an average year-over-year change of +2.81 percentage points over the last eight quarters.
- The fastest year-over-year change in Return on Capital Employed [ROCE] over five years came in Q1 2025 (a gain of 17.20 percentage points), and the weakest in Q2 2023 (a drop of 21.85 percentage points).
- Business Quant data shows AA's Return on Capital Employed [ROCE] at 5.25% (Q1 2026), 7.61% (Q4 2025) and 8.36% (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Rio Tinto | 193.68 Bn | 159.81 Bn | - | - |
| 2 | Southern Copper | 166.32 Bn | 145.19 Bn | 2.90 Bn | 42.99% |
| 3 | Newmont | 120.84 Bn | 89.01 Bn | 4.03 Bn | 9.92% |
| 4 | Ternium | 110.94 Bn | 75.99 Bn | 941.02 Mn | 7.19% |
| 5 | Freeport-Mcmoran | 99.52 Bn | 95.67 Bn | 2.19 Bn | 13.20% |
| 6 | Agnico Eagle Mines | 90.25 Bn | 90.25 Bn | 2.43 Bn | 42.05% |
| 7 | Barrick Mining | 67.10 Bn | 51.84 Bn | 2.90 Bn | 23.46% |
| 8 | Nucor | 53.52 Bn | 44.06 Bn | 2.03 Bn | 13.42% |
| 9 | ArcelorMittal | 49.13 Bn | 30.16 Bn | - | 3.51% |
| 10 | Alcoa | 11.10 Bn | 5.38 Bn | 999.00 Mn | 10.01% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 10.01% |
| Mar 31, 2026 | 5.25% |
| Dec 31, 2025 | 7.61% |
| Sep 30, 2025 | 8.36% |
| Jun 30, 2025 | 18.11% |
| Mar 31, 2025 | 18.61% |
| Dec 31, 2024 | 10.80% |
| Sep 30, 2024 | 6.36% |
| Jun 30, 2024 | 3.08% |
| Mar 31, 2024 | 1.41% |
| Dec 31, 2023 | 2.63% |
| Sep 30, 2023 | 1.63% |
| Jun 30, 2023 | -3.26% |
| Mar 31, 2023 | 3.62% |
| Dec 31, 2022 | 11.06% |
| Sep 30, 2022 | 9.16% |
| Jun 30, 2022 | 18.58% |
| Mar 31, 2022 | 16.90% |
| Dec 31, 2021 | 14.16% |
| Sep 30, 2021 | 18.29% |
Alcoa Return on Capital Employed [ROCE] 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=return-on-capital-employed-%5Broce%5D&ticker=AA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "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=return-on-capital-employed-%5Broce%5D&ticker=AA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();