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.
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 Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Linde | 218.80 Bn | 201.92 Bn | 4.43 Bn |
| 2 | Corning | 132.43 Bn | 125.56 Bn | 1.63 Bn |
| 3 | Sherwin Williams | 78.49 Bn | 77.53 Bn | 3.34 Bn |
| 4 | Air Products & Chemicals | 61.97 Bn | 59.87 Bn | 1.04 Bn |
| 5 | Corteva | 51.82 Bn | 40.62 Bn | 3.66 Bn |
| 6 | LyondellBasell Industries | 37.12 Bn | 26.74 Bn | 2.04 Bn |
| 7 | Nutrien | 33.86 Bn | 30.73 Bn | 3.25 Bn |
| 8 | Qnity Electronics | 26.31 Bn | 23.73 Bn | 666.00 Mn |
| 9 | Ati | 25.78 Bn | 23.93 Bn | 309.80 Mn |
| 10 | Element Solutions | 8.84 Bn | 7.27 Bn | 334.00 Mn |
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 |
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_KEY
import 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();