ArcelorMittal (AMSYF) Price to Earnings (2009 - 2026)
ArcelorMittal's Price to Earnings came in at 6.70 for Q2 2026, down 56.4% from 15.35 a year earlier and down 19.1% from the prior quarter.
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Analysis
ArcelorMittal (AMSYF) Price to Earnings (2009 - 2026) Analysis & Trends
For FY2013, ArcelorMittal's Price to Earnings was 3.51, up 30.8% from FY2012.
- Going back by year, Price to Earnings was 2.69 in FY2012 (+26.6%), 2.12 in FY2011 (-58.9%), 5.17 in FY2010 (-70.7%) and 17.63 in FY2009.
- The Q2 2026 figure represents the lowest quarterly Price to Earnings since Q1 2025.
- Year-over-year, Price to Earnings increased in four of the last eight quarters, with growth averaging 76.8%.
- The fastest year-over-year change in Price to Earnings over five years came in Q3 2025 (growth of 362.3%), and the weakest in Q4 2024 (a decline of 69.7%).
- Business Quant data shows AMSYF's Price to Earnings at 8.28 (Q1 2026), 11.18 (Q4 2025) and 18.42 (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
Historic Data
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Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 48.61 |
| Jun 30, 2026 | 25.30 |
| Mar 31, 2026 | 13.54 |
| Dec 31, 2025 | 11.00 |
| Sep 30, 2025 | 10.75 |
| Jun 30, 2025 | 9.73 |
| Mar 31, 2025 | 18.39 |
| Dec 31, 2024 | 13.28 |
| Mar 31, 2024 | 29.69 |
| Dec 31, 2023 | 25.31 |
| Sep 30, 2023 | 4.86 |
| Jun 30, 2023 | 5.23 |
| Mar 31, 2023 | 3.87 |
| Dec 31, 2022 | 2.27 |
| Sep 30, 2022 | 1.39 |
| Jun 30, 2022 | 1.23 |
| Mar 31, 2022 | 1.74 |
| Dec 31, 2021 | 1.94 |
| Sep 30, 2021 | 2.69 |
| Jun 30, 2021 | 4.64 |
API Access
ArcelorMittal Price to Earnings 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=price-to-earnings&ticker=AMSYF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-earnings", "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=price-to-earnings&ticker=AMSYF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();