Element Solutions (ESI) Restructuring Costs (2013 - 2015)
Element Solutions (ESI) reported Restructuring Costs of $1.6 million for Q1 2015, down 21.1% from the prior quarter.
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Analysis
Element Solutions (ESI) Restructuring Costs (2013 - 2015) Analysis & Trends
Over the twelve months ended Mar 31, 2015, Element Solutions' Restructuring Costs came in at $4.6 million, up 143.4% year-over-year; for FY2014, it came in at $3 million, up 275.0% from FY2013.
- By year, Restructuring Costs came in at $800,000 in FY2013 (+166.7%) and $300,000 in FY2012.
- Five-year quarterly Restructuring Costs spans a low of $404,000 in Q2 2014 and a high of $2.03 million in Q4 2014.
- Per Business Quant data, the three quarters before Q1 2015 came in at $2.03 million (Q4 2014), $567,000 (Q3 2014) and $404,000 (Q2 2014).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Linde | 235.23 Bn | 216.81 Bn | 4.43 Bn |
| 2 | Corning | 106.66 Bn | 99.22 Bn | 1.63 Bn |
| 3 | Sherwin Williams | 82.20 Bn | 81.24 Bn | 3.34 Bn |
| 4 | Air Products & Chemicals | 68.45 Bn | 63.64 Bn | 1.04 Bn |
| 5 | LyondellBasell Industries | 42.89 Bn | 32.40 Bn | 2.04 Bn |
| 6 | Nutrien | 33.91 Bn | 30.74 Bn | 3.25 Bn |
| 7 | Ppg Industries | 24.62 Bn | 17.28 Bn | 1.81 Bn |
| 8 | International Flavors & Fragrances | 23.96 Bn | 21.62 Bn | 853.00 Mn |
| 9 | Dow | 23.51 Bn | 7.01 Bn | 2.17 Bn |
| 10 | Element Solutions | 8.05 Bn | 6.83 Bn | 342.40 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2015 | 1.60 Mn |
| Dec 31, 2014 | 2.03 Mn |
| Sep 30, 2014 | 567,000.00 |
| Jun 30, 2014 | 404,000.00 |
| Sep 30, 2013 | 238,000.00 |
| Jun 30, 2013 | 46,000.00 |
| Mar 31, 2013 | 1.61 Mn |
API Access
Element Solutions 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=ESI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "restructuring-costs", "ticker": "ESI", "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=ESI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();