Belden (BDC) Restructuring Costs (2014 - 2016)
Belden (BDC) reported Restructuring Costs of $5.87 million for Q2 2016, up 19.6% from $4.91 million a year earlier but down 30.2% from the prior quarter.
Belden (BDC) Restructuring Costs (2014 - 2016) Analysis & Trends
Over the twelve months ended Jul 3, 2016, Belden's Restructuring Costs came in at $41.98 million, down 17.0% year-over-year; for FY2015, it was $47.17 million, down 33.4% from FY2014.
- By year, Restructuring Costs came in at $70.83 million in FY2014 (+375.7%) and $14.89 million in FY2013.
- Five-year quarterly Restructuring Costs spans a low of $1.4 million in Q1 2014 and a high of $38.2 million in Q2 2014.
- Year over year, Restructuring Costs gained in three of the last six quarters, with growth averaging 140.0%.
- Per Business Quant data, the three quarters before Q2 2016 came in at $8.41 million (Q1 2016), $13.6 million (Q4 2015) and $14.1 million (Q3 2015).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Caterpillar | 376.87 Bn | 348.57 Bn | 7.76 Bn |
| 2 | Amphenol | 208.65 Bn | 203.35 Bn | 3.55 Bn |
| 3 | Deere | 185.97 Bn | 194.73 Bn | 4.66 Bn |
| 4 | Eaton | 167.50 Bn | 164.73 Bn | 2.86 Bn |
| 5 | Parker-Hannifin | 122.25 Bn | 120.39 Bn | 2.25 Bn |
| 6 | Vertiv Holdings | 93.95 Bn | 84.57 Bn | 1.23 Bn |
| 7 | Emerson Electric | 88.90 Bn | 81.65 Bn | 2.66 Bn |
| 8 | 3M | 87.39 Bn | 68.85 Bn | 2.68 Bn |
| 9 | Illinois Tool Works | 78.00 Bn | 74.56 Bn | 1.90 Bn |
| 10 | Belden | 4.29 Bn | 2.96 Bn | 293.62 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 3, 2016 | 5.87 Mn |
| Apr 3, 2016 | 8.41 Mn |
| Dec 31, 2015 | 13.60 Mn |
| Sep 27, 2015 | 14.10 Mn |
| Jun 28, 2015 | 4.91 Mn |
| Mar 29, 2015 | 14.48 Mn |
| Dec 31, 2014 | 22.00 Mn |
| Sep 28, 2014 | 9.20 Mn |
| Jun 29, 2014 | 38.20 Mn |
| Mar 30, 2014 | 1.40 Mn |
Belden 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=BDC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "restructuring-costs", "ticker": "BDC", "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=BDC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();