ArcelorMittal (MT) Restructuring Costs (2011 - 2013)
ArcelorMittal's (MT) quarterly Restructuring Costs came in at -$830.0 million in Q4 2019, down 286.05% on a YoY basis from $446.1 million in Q4 2018, and down 453.33% quarter-over-quarter from -$150.0 million in Q1 2019.
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Analysis
ArcelorMittal (MT) Restructuring Costs (2011 - 2013) Analysis & Trends
ArcelorMittal (MT) has reported Restructuring Costs for 6 consecutive years, with -$830.0 million the latest figure, recorded in Q4 2019.
- For the quarter ending Q4 2019, Restructuring Costs fell 286.05% year-over-year to -$830.0 million; the trailing twelve-month figure through Dec 2019 stood at -$1.7 billion (down 75.67% YoY), and the FY2019 full-year result was -$1.9 billion, down 137.9% from the prior year.
- Restructuring Costs retreated to -$830.0 million in Q4 2019 per MT's latest filing, from -$150.0 million in the prior quarter.
- Across five years, Restructuring Costs topped out at -$86.0 million in Q1 2018 and bottomed at -$830.0 million in Q4 2019.
- Historically, Restructuring Costs has averaged -$325.0 million across 3 years, with a median of -$187.5 million in 2017.
- The sharpest annual moves came in 2018 and 2019: Restructuring Costs plunged 34.38% in 2018, then sank 286.05% in 2019.
- Over 3 years, Restructuring Costs stood at -$160.0 million in 2017, then slumped by 34.38% to -$215.0 million in 2018, then tumbled by 286.05% to -$830.0 million in 2019.
- According to Business Quant data, Restructuring Costs over the past three periods registered -$830.0 million, -$150.0 million, and -$215.0 million for Q4 2019, Q1 2019, and Q4 2018 respectively.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Rio Tinto | 186.21 Bn | 152.34 Bn | - |
| 2 | Southern Copper | 170.20 Bn | 149.06 Bn | 2.90 Bn |
| 3 | Newmont | 127.93 Bn | 96.10 Bn | 4.03 Bn |
| 4 | Ternium | 111.02 Bn | 76.07 Bn | 941.02 Mn |
| 5 | Freeport-Mcmoran | 103.81 Bn | 99.96 Bn | 2.19 Bn |
| 6 | Agnico Eagle Mines | 97.22 Bn | 97.22 Bn | 2.43 Bn |
| 7 | Barrick Mining | 71.84 Bn | 56.58 Bn | 2.90 Bn |
| 8 | Nucor | 56.10 Bn | 46.64 Bn | 2.03 Bn |
| 9 | ArcelorMittal | 53.80 Bn | 34.82 Bn | - |
| 10 | AngloGold Ashanti | 50.01 Bn | 39.68 Bn | 1.70 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2013 | -379.00 Mn |
| Jun 30, 2013 | -173.00 Mn |
| Dec 31, 2012 | -192.00 Mn |
| Sep 30, 2012 | -98.00 Mn |
| Jun 30, 2012 | -190.00 Mn |
| Mar 31, 2012 | -107.00 Mn |
| Dec 31, 2011 | -219.00 Mn |
API Access
ArcelorMittal Restructuring Costs 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=restructuring-costs&ticker=MT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "restructuring-costs", "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=restructuring-costs&ticker=MT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();