ArcelorMittal (MT) EPS (Diluted) (2009 - 2025)
ArcelorMittal's EPS (Diluted) was $2.69 in Q2 2026, up 22.9% from the prior quarter.
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Analysis
ArcelorMittal (MT) EPS (Diluted) (2009 - 2025) Analysis & Trends
On a trailing twelve-month basis, ArcelorMittal's EPS (Diluted) was $8.93 through Jun 30, 2026, up 347.0% year-over-year; for FY2020, it was -$0.64.
- In earlier years, EPS (Diluted) was -$2.42 in FY2019.
- The Q2 2026 figure marks the highest quarterly EPS (Diluted) since Q2 2014.
- Per Business Quant data, MT's EPS (Diluted) in the three quarters before Q2 2026 was $2.19 (Q1 2026), $2.08 (Q4 2025) and $1.91 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EPS (Diluted) (Yr) |
|---|---|---|---|---|---|
| 1 | Nucor | 175.24 Bn | 165.01 Bn | 2.33 Bn | 3.15 |
| 2 | Rio Tinto | 166.15 Bn | 128.95 Bn | - | 6.08 |
| 3 | Southern Copper | 143.83 Bn | 118.64 Bn | 3.10 Bn | 5.24 |
| 4 | Rio Tinto | 137.31 Bn | 104.37 Bn | - | 6.08 |
| 5 | Newmont | 124.66 Bn | 89.98 Bn | 4.22 Bn | 6.39 |
| 6 | Ternium | 102.52 Bn | 75.29 Bn | 1.04 Bn | - |
| 7 | Agnico Eagle Mines | 95.19 Bn | 82.13 Bn | 2.15 Bn | 37.14 |
| 8 | Freeport-Mcmoran | 86.53 Bn | 83.18 Bn | 2.55 Bn | 1.53 |
| 9 | Barrick Mining | 66.50 Bn | 50.91 Bn | 2.71 Bn | 2.42 |
| 10 | ArcelorMittal | 49.98 Bn | 33.48 Bn | - | 4.11 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 4.11 |
| Dec 31, 2024 | 1.69 |
| Dec 31, 2023 | 1.09 |
| Dec 31, 2022 | 10.18 |
| Dec 31, 2021 | 13.50 |
| Sep 30, 2021 | 9.57 |
| Dec 31, 2020 | -0.64 |
| Dec 31, 2019 | -2.42 |
| Dec 31, 2018 | 5.04 |
| Dec 31, 2017 | 4.46 |
| Dec 31, 2016 | 1.86 |
| Dec 31, 2015 | -10.29 |
| Dec 31, 2014 | -1.41 |
| Dec 31, 2013 | -4.28 |
| Sep 30, 2013 | -2.55 |
| Dec 31, 2012 | -6.49 |
| Dec 31, 2011 | 4.51 |
| Dec 31, 2010 | 5.65 |
| Dec 31, 2009 | 0.48 |
API Access
ArcelorMittal EPS (Diluted) 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=eps-diluted-annual&ticker=MT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "eps-diluted-annual", "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=eps-diluted-annual&ticker=MT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();