ArcelorMittal (MT) Selling, General & Administrative (2010)
ArcelorMittal (MT) recorded Selling, General & Administrative of $2.61 billion in FY2025, up 5.2% from $2.48 billion in FY2024.
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Analysis
ArcelorMittal (MT) Selling, General & Administrative (2010) Analysis & Trends
Starting with FY2009, ArcelorMittal's Selling, General & Administrative history includes 17 years.
- Annual Selling, General & Administrative has increased for five straight years, with a five-year compound annual growth rate of 5.2% (FY2020 to FY2025).
- The FY2025 figure is the highest annual Selling, General & Administrative since FY2014.
- Per Business Quant data, MT's Selling, General & Administrative was $2.48 billion in FY2024 (+3.4%), $2.4 billion in FY2023 (+5.9%), $2.26 billion in FY2022 (+0.2%) and $2.26 billion in FY2021 (+11.7%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Rio Tinto | 182.38 Bn | 151.41 Bn | - | - |
| 2 | Southern Copper | 152.80 Bn | 131.59 Bn | 2.90 Bn | 35.30 Mn |
| 3 | Rio Tinto | 136.88 Bn | 97.38 Bn | - | - |
| 4 | Newmont | 119.41 Bn | 87.42 Bn | 4.03 Bn | 74.00 Mn |
| 5 | Freeport-Mcmoran | 94.02 Bn | 78.06 Bn | 2.19 Bn | 135.00 Mn |
| 6 | Agnico Eagle Mines | 88.42 Bn | 78.05 Bn | 2.43 Bn | 57.95 Mn |
| 7 | Barrick Mining | 65.75 Bn | 40.95 Bn | 2.90 Bn | 31.00 Mn |
| 8 | Nucor | 58.67 Bn | 48.06 Bn | 2.03 Bn | 405.00 Mn |
| 9 | ArcelorMittal | 46.19 Bn | 25.22 Bn | - | - |
| 10 | AngloGold Ashanti | 43.65 Bn | 31.54 Bn | 1.70 Bn | - |
API Access
ArcelorMittal Selling, General & Administrative 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=selling-general-and-administrative&ticker=MT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=MT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();