Mondelez International (MDLZ) Buildings (2009 - 2011)
Mondelez International (MDLZ) posted Buildings of $4.97 billion for Q3 2011, down 3.9% from the prior quarter.
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Analysis
Mondelez International (MDLZ) Buildings (2009 - 2011) Analysis & Trends
At the end of FY2010, Mondelez International's Buildings came in at $4.93 billion, up 16.6% from FY2009.
- In prior years, Mondelez International's Buildings was $4.23 billion in FY2009.
- Quarterly Buildings has run from a low of $4.23 billion in Q4 2009 to a high of $5.17 billion in Q2 2011 over five years.
- According to Business Quant data, Buildings for the three prior quarters was $5.17 billion (Q2 2011), $5.08 billion (Q1 2011) and $4.93 billion (Q4 2010).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Unilever | 136.33 Bn | 111.70 Bn | - |
| 2 | Mondelez International | 76.81 Bn | 70.13 Bn | 3.99 Bn |
| 3 | Hershey | 33.25 Bn | 29.49 Bn | 1.26 Bn |
| 4 | Kraft Heinz | 27.93 Bn | 14.46 Bn | 2.03 Bn |
| 5 | General Mills | 17.97 Bn | 15.62 Bn | 1.49 Bn |
| 6 | Mccormick | 13.05 Bn | 12.93 Bn | 778.20 Mn |
| 7 | J M Smucker | 12.89 Bn | 12.67 Bn | 979.60 Mn |
| 8 | Hormel Foods | 10.99 Bn | 7.67 Bn | 471.52 Mn |
| 9 | Chewy | 7.48 Bn | 4.77 Bn | 1.01 Bn |
| 10 | Conagra Brands | 6.78 Bn | 5.76 Bn | 704.10 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2011 | 4.97 Bn |
| Jun 30, 2011 | 5.17 Bn |
| Mar 31, 2011 | 5.08 Bn |
| Dec 31, 2010 | 4.93 Bn |
| Jun 30, 2010 | 4.51 Bn |
| Dec 31, 2009 | 4.23 Bn |
API Access
Mondelez International Buildings 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=buildings&ticker=MDLZ&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "buildings", "ticker": "MDLZ", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=buildings&ticker=MDLZ&period=max&api_key=YOUR_API_KEY");
const data = await res.json();