ArcelorMittal (MT) Return on Sales [ROS] (2009 - 2026)
ArcelorMittal's Return on Sales [ROS] was 6.29% in Q2 2026, down 5.84 percentage points from 12.13% a year earlier but up 1.42 percentage points from the prior quarter.
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Analysis
ArcelorMittal (MT) Return on Sales [ROS] (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, ArcelorMittal's Return on Sales [ROS] was 4.26% through Jun 30, 2026, down 2.25 percentage points year-over-year; for FY2025, it was 5.91%, up 0.61 percentage points from FY2024.
- Return on Sales [ROS] shows a five-year change of +1.95 percentage points (FY2020 to FY2025).
- In earlier years, Return on Sales [ROS] was 5.30% in FY2024 (+1.87 pp), 3.43% in FY2023 (-9.44 pp), 12.87% in FY2022 (-9.31 pp) and 22.17% in FY2021 (+18.21 pp).
- Quarterly Return on Sales [ROS] has moved between -13.61% (Q4 2023) and 21.91% (Q4 2021) over five years.
- Compared with a year earlier, Return on Sales [ROS] has declined for four straight quarters, with an average year-over-year change of +1.27 percentage points over the last eight quarters.
- The best year-over-year quarter for Return on Sales [ROS] over five years was Q4 2024 (a gain of 17.20 percentage points); the worst was Q4 2022 (a drop of 23.72 percentage points).
- Per Business Quant data, MT's Return on Sales [ROS] in the three quarters before Q2 2026 was 4.87% (Q1 2026), 2.18% (Q4 2025) and 3.47% (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Rio Tinto | 170.99 Bn | 133.79 Bn | - | - |
| 2 | Southern Copper | 146.42 Bn | 121.15 Bn | 3.10 Bn | 59.94% |
| 3 | Rio Tinto | 139.98 Bn | 100.80 Bn | - | - |
| 4 | Newmont | 132.34 Bn | 97.49 Bn | 4.22 Bn | 16.03% |
| 5 | Agnico Eagle Mines | 100.36 Bn | 87.30 Bn | 2.15 Bn | 56.01% |
| 6 | Ternium | 99.86 Bn | 68.11 Bn | 1.04 Bn | 12.44% |
| 7 | Freeport-Mcmoran | 90.01 Bn | 74.05 Bn | 2.19 Bn | 28.50% |
| 8 | Barrick Mining | 72.53 Bn | 47.73 Bn | 2.90 Bn | 51.63% |
| 9 | Nucor | 56.81 Bn | 46.19 Bn | 2.03 Bn | 15.67% |
| 10 | ArcelorMittal | 48.91 Bn | 30.47 Bn | - | -0.80% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | -0.80% |
| Jun 30, 2026 | 6.29% |
| Mar 31, 2026 | 4.87% |
| Dec 31, 2025 | 2.18% |
| Sep 30, 2025 | 3.47% |
| Jun 30, 2025 | 12.13% |
| Mar 31, 2025 | 5.58% |
| Dec 31, 2024 | 3.60% |
| Sep 30, 2024 | 4.36% |
| Jun 30, 2024 | 6.44% |
| Mar 31, 2024 | 6.58% |
| Dec 31, 2023 | -13.61% |
| Sep 30, 2023 | 7.24% |
| Jun 30, 2023 | 10.35% |
| Mar 31, 2023 | 6.44% |
| Dec 31, 2022 | -1.81% |
| Sep 30, 2022 | 8.70% |
| Jun 30, 2022 | 20.30% |
| Mar 31, 2022 | 20.30% |
| Dec 31, 2021 | 21.91% |
API Access
ArcelorMittal 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=MT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "MT", "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=MT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();