ArcelorMittal (MT) EPS (Diluted) (2009 - 2026)
ArcelorMittal's EPS (Diluted) was $2.69 in Q2 2026, up 22.9% from the prior quarter.
Analysis
ArcelorMittal (MT) EPS (Diluted) (2009 - 2026) 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) (Qtr) |
|---|---|---|---|---|---|
| 1 | Rio Tinto | 182.38 Bn | 151.41 Bn | - | - |
| 2 | Southern Copper | 167.30 Bn | 146.09 Bn | 2.90 Bn | 2.01 |
| 3 | Rio Tinto | 143.04 Bn | 103.54 Bn | - | - |
| 4 | Newmont | 124.35 Bn | 92.35 Bn | 4.03 Bn | 2.06 |
| 5 | Freeport-Mcmoran | 99.09 Bn | 83.13 Bn | 2.19 Bn | 0.68 |
| 6 | Agnico Eagle Mines | 93.47 Bn | 83.11 Bn | 2.43 Bn | 3.18 |
| 7 | Barrick Mining | 69.01 Bn | 44.20 Bn | 2.90 Bn | 0.71 |
| 8 | Nucor | 59.68 Bn | 49.06 Bn | 2.03 Bn | 5.06 |
| 9 | ArcelorMittal | 48.25 Bn | 27.28 Bn | - | 0.89 |
| 10 | AngloGold Ashanti | 46.03 Bn | 33.92 Bn | 1.70 Bn | 1.97 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 0.89 |
| Mar 31, 2026 | 0.75 |
| Dec 31, 2025 | 0.23 |
| Sep 30, 2025 | 0.48 |
| Jun 30, 2025 | 2.27 |
| Mar 31, 2025 | 1.02 |
| Dec 31, 2024 | -0.49 |
| Sep 30, 2024 | 0.34 |
| Jun 30, 2024 | 0.60 |
| Mar 31, 2024 | 1.11 |
| Dec 31, 2023 | -3.51 |
| Sep 30, 2023 | 1.02 |
| Jun 30, 2023 | 2.04 |
| Mar 31, 2023 | 1.20 |
| Dec 31, 2022 | 0.29 |
| Sep 30, 2022 | 0.90 |
| Jun 30, 2022 | 3.54 |
| Mar 31, 2022 | 3.72 |
| Dec 31, 2021 | 3.65 |
| Sep 30, 2021 | 4.05 |
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&ticker=MT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "eps-diluted", "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&ticker=MT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();