ArcelorMittal (MT) Shares Outstanding (Diluted) (2009 - 2026)
ArcelorMittal's Shares Outstanding (Diluted) came in at 766 million for Q2 2026, down 3.2% from 791 million a year earlier and unchanged from the prior quarter.
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Analysis
ArcelorMittal (MT) Shares Outstanding (Diluted) (2009 - 2026) Analysis & Trends
Going back to Q1 2009, ArcelorMittal's Shares Outstanding (Diluted) data covers 68 quarters.
- Shares Outstanding (Diluted) has declined in each of the last five years, with a five-year compound annual growth rate of -7.6% (FY2020 to FY2025).
- Going back by year, Shares Outstanding (Diluted) was 791 million in FY2024 (-6.4%), 845 million in FY2023 (-7.5%), 914 million in FY2022 (-17.5%) and 1.11 billion in FY2021 (-2.8%).
- The five-year range for quarterly Shares Outstanding (Diluted) is 766 million (Q4 2025) to 1.11 billion (Q3 2022).
- Year-over-year, Shares Outstanding (Diluted) has declined for 15 consecutive quarters, with an average decline of 5.3% over the last eight quarters.
- Over the past five years, the year-over-year decline in Shares Outstanding (Diluted) ranged from 2.8% (Q2 2022) to 17.5% (Q4 2022).
- Business Quant data shows MT's Shares Outstanding (Diluted) at 766 million (Q1 2026), 766 million (Q4 2025) and 791 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Rio Tinto | 182.38 Bn | 151.41 Bn | - | 1.64 Bn |
| 2 | Southern Copper | 167.53 Bn | 146.32 Bn | 2.90 Bn | 829.10 Mn |
| 3 | Rio Tinto | 145.19 Bn | 105.69 Bn | - | 1.63 Bn |
| 4 | Newmont | 125.76 Bn | 93.76 Bn | 4.03 Bn | 1.07 Bn |
| 5 | Freeport-Mcmoran | 100.06 Bn | 84.10 Bn | 2.19 Bn | 1.44 Bn |
| 6 | Agnico Eagle Mines | 94.12 Bn | 83.75 Bn | 2.43 Bn | 503.43 Mn |
| 7 | Barrick Mining | 69.05 Bn | 44.25 Bn | 2.90 Bn | 1.71 Bn |
| 8 | Nucor | 59.59 Bn | 48.98 Bn | 2.03 Bn | 228.50 Mn |
| 9 | ArcelorMittal | 47.82 Bn | 26.84 Bn | - | 766.00 Mn |
| 10 | AngloGold Ashanti | 46.49 Bn | 34.38 Bn | 1.70 Bn | 509.09 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 766.00 Mn |
| Mar 31, 2026 | 766.00 Mn |
| Dec 31, 2025 | 766.00 Mn |
| Sep 30, 2025 | 791.00 Mn |
| Jun 30, 2025 | 791.00 Mn |
| Mar 31, 2025 | 791.00 Mn |
| Dec 31, 2024 | 791.00 Mn |
| Sep 30, 2024 | 845.00 Mn |
| Jun 30, 2024 | 845.00 Mn |
| Mar 31, 2024 | 845.00 Mn |
| Dec 31, 2023 | 845.00 Mn |
| Sep 30, 2023 | 914.00 Mn |
| Jun 30, 2023 | 914.00 Mn |
| Mar 31, 2023 | 914.00 Mn |
| Dec 31, 2022 | 914.00 Mn |
| Sep 30, 2022 | 1.11 Bn |
| Jun 30, 2022 | 1.11 Bn |
| Mar 31, 2022 | 1.11 Bn |
| Dec 31, 2021 | 1.11 Bn |
| Sep 30, 2021 | 1.14 Bn |
API Access
ArcelorMittal Shares Outstanding (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=shares-outstanding-diluted&ticker=MT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-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=shares-outstanding-diluted&ticker=MT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();