Alcoa (AA) Return on Sales [ROS] (2015 - 2026)
Alcoa (AA) recorded Return on Sales [ROS] of 22.47% in Q2 2026, up 13.92 percentage points from 8.55% a year earlier and up 4.61 percentage points from the prior quarter.
Alcoa (AA) Return on Sales [ROS] (2015 - 2026) Analysis & Trends
On a TTM basis, Alcoa's Return on Sales [ROS] came in at 9.50% as of Jun 30, 2026, down 6.81 percentage points year-over-year; for FY2025, it came in at 7.26%, down 2.64 percentage points from FY2024.
- Annual Return on Sales [ROS] has a five-year change of -3.29 percentage points (FY2020 to FY2025).
- Across earlier years, Return on Sales [ROS] came in at 9.90% in FY2024 (+7.16 pp), 2.74% in FY2023 (-7.76 pp), 10.50% in FY2022 (-2.78 pp) and 13.27% in FY2021 (+2.72 pp).
- The Q2 2026 figure is the highest quarterly Return on Sales [ROS] since Q1 2025.
- On a year-over-year basis, Return on Sales [ROS] rose in four of the last eight quarters, with an average year-over-year change of +2.54 percentage points.
- Peak year-over-year performance for Return on Sales [ROS] in the last five years was a gain of 28.02 percentage points in Q1 2025, against a drop of 40.53 percentage points in Q3 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at 17.85% (Q1 2026), 14.64% (Q4 2025) and -22.50% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Rio Tinto | 193.68 Bn | 159.81 Bn | - | - |
| 2 | Southern Copper | 166.32 Bn | 145.19 Bn | 2.90 Bn | 61.16% |
| 3 | Newmont | 120.84 Bn | 89.01 Bn | 4.03 Bn | 16.48% |
| 4 | Ternium | 110.94 Bn | 75.99 Bn | 941.02 Mn | 12.17% |
| 5 | Freeport-Mcmoran | 99.52 Bn | 95.67 Bn | 2.19 Bn | 28.50% |
| 6 | Agnico Eagle Mines | 90.25 Bn | 90.25 Bn | 2.43 Bn | - |
| 7 | Barrick Mining | 67.10 Bn | 51.84 Bn | 2.90 Bn | 51.63% |
| 8 | Nucor | 53.52 Bn | 44.06 Bn | 2.03 Bn | 15.67% |
| 9 | ArcelorMittal | 49.13 Bn | 30.16 Bn | - | 6.29% |
| 10 | Alcoa | 11.10 Bn | 5.38 Bn | 999.00 Mn | 22.47% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 22.47% |
| Mar 31, 2026 | 17.85% |
| Dec 31, 2025 | 14.64% |
| Sep 30, 2025 | -22.50% |
| Jun 30, 2025 | 8.55% |
| Mar 31, 2025 | 25.02% |
| Dec 31, 2024 | 16.75% |
| Sep 30, 2024 | 13.74% |
| Jun 30, 2024 | 9.39% |
| Mar 31, 2024 | -3.00% |
| Dec 31, 2023 | 3.97% |
| Sep 30, 2023 | 1.77% |
| Jun 30, 2023 | 3.24% |
| Mar 31, 2023 | 1.99% |
| Dec 31, 2022 | 10.50% |
| Sep 30, 2022 | -18.24% |
| Jun 30, 2022 | 24.51% |
| Mar 31, 2022 | 28.36% |
| Dec 31, 2021 | -5.27% |
| Sep 30, 2021 | 22.29% |
Alcoa Return on Sales [ROS] 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-sales-%5Bros%5D&ticker=AA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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-sales-%5Bros%5D&ticker=AA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();