ArcelorMittal (AMSYF) Return on Sales [ROS] (2009 - 2026)
ArcelorMittal's Return on Sales [ROS] came in at 6.29% for Q2 2026, down 5.84 percentage points from 12.13% a year earlier but up 1.42 percentage points from the prior quarter.
ArcelorMittal (AMSYF) Return on Sales [ROS] (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, ArcelorMittal reported Return on Sales [ROS] of 4.26%, 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] carries a five-year change of +1.95 percentage points (FY2020 to FY2025).
- Going back by year, 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).
- The five-year range for quarterly Return on Sales [ROS] is -13.61% (Q4 2023) to 21.91% (Q4 2021).
- Year-over-year, Return on Sales [ROS] has declined for four consecutive quarters, with an average year-over-year change of +1.27 percentage points over the last eight quarters.
- The fastest year-over-year change in Return on Sales [ROS] over five years came in Q4 2024 (a gain of 17.20 percentage points), and the weakest in Q4 2022 (a drop of 23.72 percentage points).
- Business Quant data shows AMSYF's Return on Sales [ROS] at 4.87% (Q1 2026), 2.18% (Q4 2025) and 3.47% (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
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% |
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=AMSYF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "AMSYF", "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=AMSYF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();