Hershey (HSY) Non Operating Interest Expenses (2009 - 2011)
Hershey's Non Operating Interest Expenses came in at $87.6 million for FY2014, down 4.3% from $91.51 million in FY2013.
Analysis
Hershey (HSY) Non Operating Interest Expenses (2009 - 2011) Analysis & Trends
Going back to FY2009, Hershey's Non Operating Interest Expenses data covers 6 years.
- Non Operating Interest Expenses carries a five-year compound annual growth rate of -0.6% (FY2009 to FY2014).
- The FY2014 figure represents the lowest annual Non Operating Interest Expenses in data going back to FY2009.
- Per Business Quant, earlier years put Non Operating Interest Expenses at $91.51 million in FY2013 (-7.1%), $98.51 million in FY2012 (+3.9%), $94.78 million in FY2011 (-3.0%) and $97.7 million in FY2010 (+8.0%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 129.94 Bn | 105.31 Bn | - | - |
| 2 | Mondelez International | 73.72 Bn | 67.04 Bn | 3.99 Bn | - |
| 3 | Hershey | 32.21 Bn | 28.45 Bn | 1.26 Bn | - |
| 4 | Kraft Heinz | 26.65 Bn | 13.18 Bn | 2.03 Bn | -31.00 Mn |
| 5 | General Mills | 16.93 Bn | 14.59 Bn | 1.49 Bn | - |
| 6 | J M Smucker | 12.38 Bn | 12.16 Bn | 979.60 Mn | - |
| 7 | Mccormick | 11.89 Bn | 11.54 Bn | 794.90 Mn | 68.40 Mn |
| 8 | Hormel Foods | 11.00 Bn | 7.68 Bn | 471.52 Mn | 19.64 Mn |
| 9 | Chewy | 7.12 Bn | 4.40 Bn | 1.01 Bn | - |
| 10 | Conagra Brands | 6.31 Bn | 5.62 Bn | 618.70 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2011 | 16.59 Mn |
| Oct 2, 2011 | 25.73 Mn |
| Jul 3, 2011 | 23.35 Mn |
| Apr 3, 2011 | 26.55 Mn |
| Dec 31, 2010 | 26.75 Mn |
| Oct 3, 2010 | 22.26 Mn |
| Jul 4, 2010 | 22.78 Mn |
| Apr 4, 2010 | 24.48 Mn |
| Dec 31, 2009 | 18.77 Mn |
| Oct 4, 2009 | 22.30 Mn |
| Jul 5, 2009 | 22.73 Mn |
| Apr 5, 2009 | 23.90 Mn |
API Access
Hershey 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=HSY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-interest-expenses", "ticker": "HSY", "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=HSY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();