Mcdonalds (MCD) Restructuring Costs (2009 - 2012)
Mcdonalds' Restructuring Costs came in at $1.8 million for Q4 2012, up 500.0% from $300,000 a year earlier but down 71.0% from the prior quarter.
Analysis
Mcdonalds (MCD) Restructuring Costs (2009 - 2012) Analysis & Trends
For FY2012, Mcdonalds' Restructuring Costs was $8 million.
- Going back by year, Restructuring Costs was -$3.9 million in FY2011, $29.1 million in FY2010 and -$61.1 million in FY2009.
- The five-year range for quarterly Restructuring Costs is -$62 million (Q4 2009) to $30.8 million (Q1 2010).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Mcdonalds | 171.96 Bn | 166.78 Bn | 6.42 Bn |
| 2 | Starbucks | 110.34 Bn | 97.96 Bn | - |
| 3 | Yum Brands | 41.48 Bn | 38.36 Bn | 1.47 Bn |
| 4 | Chipotle Mexican Grill | 39.00 Bn | 34.98 Bn | - |
| 5 | Restaurant Brands International | 25.80 Bn | 21.35 Bn | 1.38 Bn |
| 6 | Darden Restaurants | 24.38 Bn | 23.48 Bn | 1.68 Bn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn |
| 8 | Yum China Holdings | 15.57 Bn | 9.23 Bn | 537.00 Mn |
| 9 | Texas Roadhouse | 11.21 Bn | 10.55 Bn | - |
| 10 | Luckin Coffee | 10.73 Bn | 9.81 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2012 | 1.80 Mn |
| Sep 30, 2012 | 6.20 Mn |
| Dec 31, 2011 | 300,000.00 |
| Sep 30, 2011 | -6.60 Mn |
| Jun 30, 2011 | 2.40 Mn |
| Dec 31, 2010 | -12.10 Mn |
| Sep 30, 2010 | 3.60 Mn |
| Jun 30, 2010 | 6.80 Mn |
| Mar 31, 2010 | 30.80 Mn |
| Dec 31, 2009 | -62.00 Mn |
| Sep 30, 2009 | -1.50 Mn |
| Jun 30, 2009 | 1.20 Mn |
| Mar 31, 2009 | 1.20 Mn |
API Access
Mcdonalds 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=MCD&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "restructuring-costs", "ticker": "MCD", "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=MCD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();