Mondelez International (MDLZ) Non Operating Interest Expenses (2009 - 2017)
Mondelez International's Non Operating Interest Expenses was $101 million in Q4 2017, down 12.2% from $115 million a year earlier but up 13.5% from the prior quarter.
Mondelez International (MDLZ) Non Operating Interest Expenses (2009 - 2017) Analysis & Trends
For FY2017, Non Operating Interest Expenses at Mondelez International came in at $396 million, down 23.1% from FY2016.
- Non Operating Interest Expenses has now declined for five consecutive years, with a five-year compound annual growth rate of -19.6% (FY2012 to FY2017).
- In earlier years, Non Operating Interest Expenses was $515 million in FY2016 (-15.4%), $609 million in FY2015 (-21.7%), $778 million in FY2014 (-23.5%) and $1.02 billion in FY2013 (-13.6%).
- Quarterly Non Operating Interest Expenses has moved between $89 million (Q3 2017) and $279 million (Q1 2013) over five years.
- Compared with a year earlier, Non Operating Interest Expenses has declined for 16 straight quarters, with an average decline of 18.9% over the last eight quarters.
- The year-over-year decline in Non Operating Interest Expenses has ranged between 7.2% (Q3 2016) and 65.1% (Q3 2013) over the last five years.
- Per Business Quant data, MDLZ's Non Operating Interest Expenses in the three quarters before Q4 2017 was $89 million (Q3 2017), $103 million (Q2 2017) and $103 million (Q1 2017).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 132.43 Bn | 107.80 Bn | - | - |
| 2 | Mondelez International | 73.80 Bn | 67.12 Bn | 3.99 Bn | - |
| 3 | Hershey | 31.86 Bn | 28.11 Bn | 1.26 Bn | - |
| 4 | Kraft Heinz | 26.96 Bn | 13.49 Bn | 2.03 Bn | -31.00 Mn |
| 5 | General Mills | 17.20 Bn | 14.85 Bn | 1.49 Bn | - |
| 6 | J M Smucker | 12.70 Bn | 12.49 Bn | 979.60 Mn | - |
| 7 | Mccormick | 12.49 Bn | 12.36 Bn | 778.20 Mn | 62.70 Mn |
| 8 | Hormel Foods | 10.97 Bn | 7.66 Bn | 471.52 Mn | 19.64 Mn |
| 9 | Chewy | 7.31 Bn | 4.59 Bn | 1.01 Bn | - |
| 10 | Conagra Brands | 6.43 Bn | 5.74 Bn | 618.70 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2017 | 101.00 Mn |
| Sep 30, 2017 | 89.00 Mn |
| Jun 30, 2017 | 103.00 Mn |
| Mar 31, 2017 | 103.00 Mn |
| Dec 31, 2016 | 115.00 Mn |
| Sep 30, 2016 | 129.00 Mn |
| Jun 30, 2016 | 135.00 Mn |
| Mar 31, 2016 | 136.00 Mn |
| Dec 31, 2015 | 148.00 Mn |
| Sep 30, 2015 | 139.00 Mn |
| Jun 30, 2015 | 147.00 Mn |
| Mar 31, 2015 | 175.00 Mn |
| Dec 31, 2014 | 196.00 Mn |
| Sep 30, 2014 | 188.00 Mn |
| Jun 30, 2014 | 192.00 Mn |
| Mar 31, 2014 | 202.00 Mn |
| Dec 31, 2013 | 234.00 Mn |
| Sep 30, 2013 | 257.00 Mn |
| Jun 30, 2013 | 235.00 Mn |
| Mar 31, 2013 | 279.00 Mn |
Mondelez International Non Operating Interest Expenses 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=non-operating-interest-expenses&ticker=MDLZ&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-interest-expenses", "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=non-operating-interest-expenses&ticker=MDLZ&period=max&api_key=YOUR_API_KEY");
const data = await res.json();