Graftech International (EAF) Restructuring Costs (2009 - 2024)
Graftech International (EAF) recorded Restructuring Costs of $3.16 million in FY2024.
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Analysis
Graftech International (EAF) Restructuring Costs (2009 - 2024) Analysis & Trends
Starting with FY2013, Graftech International's Restructuring Costs history includes 5 years.
- The FY2024 figure is the highest annual Restructuring Costs since FY2014.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Rio Tinto | 182.38 Bn | 151.41 Bn | - |
| 2 | Southern Copper | 167.53 Bn | 146.32 Bn | 2.90 Bn |
| 3 | Rio Tinto | 145.19 Bn | 105.69 Bn | - |
| 4 | Newmont | 125.76 Bn | 93.76 Bn | 4.03 Bn |
| 5 | Freeport-Mcmoran | 100.06 Bn | 84.10 Bn | 2.19 Bn |
| 6 | Agnico Eagle Mines | 94.12 Bn | 83.75 Bn | 2.43 Bn |
| 7 | Barrick Mining | 69.05 Bn | 44.25 Bn | 2.90 Bn |
| 8 | Nucor | 59.59 Bn | 48.98 Bn | 2.03 Bn |
| 9 | ArcelorMittal | 47.82 Bn | 26.84 Bn | - |
| 10 | Graftech International | 194.02 Mn | -387.64 Mn | -422,000.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2024 | -99,000.00 |
| Jun 30, 2024 | 110,000.00 |
| Mar 31, 2024 | 3.15 Mn |
| Dec 31, 2016 | -5,000.00 |
| Jun 30, 2016 | -92,000.00 |
| Mar 31, 2016 | 131,000.00 |
| Sep 30, 2015 | 156,000.00 |
| Jun 30, 2015 | 1.77 Mn |
| Mar 31, 2015 | 2.49 Mn |
| Dec 31, 2014 | -136,000.00 |
| Sep 30, 2014 | 10.84 Mn |
| Jun 30, 2014 | 831,000.00 |
| Mar 31, 2014 | 86,000.00 |
| Dec 31, 2013 | 5.56 Mn |
| Sep 30, 2013 | 14.59 Mn |
| Sep 30, 2009 | 120,000.00 |
API Access
Graftech International 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=EAF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "restructuring-costs", "ticker": "EAF", "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=EAF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();