Freeport-Mcmoran (FCX) Return on Sales [ROS] (2009 - 2026)
Freeport-Mcmoran (FCX) posted Return on Sales [ROS] of 28.50% for Q2 2026, down 3.58 percentage points from 32.08% a year earlier and down 5.78 percentage points from the prior quarter.
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Freeport-Mcmoran (FCX) Return on Sales [ROS] (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Return on Sales [ROS] at Freeport-Mcmoran was 26.76%, down 0.02 percentage points year-over-year; for FY2025, it came in at 25.15%, down 1.81 percentage points from FY2024.
- Annual Return on Sales [ROS] has declined for four consecutive years, though with a five-year change of +7.99 percentage points (FY2020 to FY2025).
- In prior years, Freeport-Mcmoran's Return on Sales [ROS] was 26.97% in FY2024 (-0.27 pp), 27.24% in FY2023 (-3.65 pp), 30.89% in FY2022 (-5.73 pp) and 36.62% in FY2021 (+19.46 pp).
- Quarterly Return on Sales [ROS] has run from a low of 14.40% in Q4 2025 to a high of 42.54% in Q1 2022 over five years.
- On a year-over-year basis, Return on Sales [ROS] increased in three of the last eight quarters, with an average year-over-year change of -0.76 percentage points.
- The strongest year-over-year quarter for Return on Sales [ROS] in the past five years was Q3 2021, with a gain of 17.62 percentage points; the weakest was Q3 2022, with a drop of 21.24 percentage points.
- According to Business Quant data, Return on Sales [ROS] for the three prior quarters was 34.28% (Q1 2026), 14.40% (Q4 2025) and 28.28% (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Nucor | 175.24 Bn | 165.01 Bn | 2.33 Bn | 16.60% |
| 2 | Rio Tinto | 166.15 Bn | 128.95 Bn | - | - |
| 3 | Southern Copper | 143.83 Bn | 118.64 Bn | 3.10 Bn | 59.94% |
| 4 | Rio Tinto | 137.31 Bn | 104.37 Bn | - | - |
| 5 | Newmont | 124.66 Bn | 89.98 Bn | 4.22 Bn | 16.03% |
| 6 | Ternium | 102.52 Bn | 75.29 Bn | 1.04 Bn | 12.44% |
| 7 | Agnico Eagle Mines | 95.19 Bn | 82.13 Bn | 2.15 Bn | 56.01% |
| 8 | Freeport-Mcmoran | 86.53 Bn | 83.18 Bn | 2.55 Bn | 31.18% |
| 9 | Barrick Mining | 66.50 Bn | 50.91 Bn | 2.71 Bn | 54.41% |
| 10 | ArcelorMittal | 49.98 Bn | 33.48 Bn | - | -0.80% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 31.18% |
| Jun 30, 2026 | 28.50% |
| Mar 31, 2026 | 34.28% |
| Dec 31, 2025 | 14.40% |
| Sep 30, 2025 | 28.28% |
| Jun 30, 2025 | 32.08% |
| Mar 31, 2025 | 22.75% |
| Dec 31, 2024 | 21.73% |
| Sep 30, 2024 | 28.54% |
| Jun 30, 2024 | 30.93% |
| Mar 31, 2024 | 25.85% |
| Dec 31, 2023 | 29.16% |
| Sep 30, 2023 | 25.62% |
| Jun 30, 2023 | 24.58% |
| Mar 31, 2023 | 29.71% |
| Dec 31, 2022 | 26.57% |
| Sep 30, 2022 | 19.23% |
| Jun 30, 2022 | 32.05% |
| Mar 31, 2022 | 42.54% |
| Dec 31, 2021 | 37.39% |
API Access
Freeport-Mcmoran 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=FCX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "FCX", "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=FCX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();