Hershey (HSY) Interest Expenses (2009 - 2011)
Hershey's Interest Expenses came in at $87.6 million for FY2014, down 4.3% from $91.51 million in FY2013.
Analysis
Hershey (HSY) Interest Expenses (2009 - 2011) Analysis & Trends
Going back to FY2009, Hershey's Interest Expenses data covers 6 years.
- Interest Expenses carries a five-year compound annual growth rate of -0.6% (FY2009 to FY2014).
- The FY2014 figure represents the lowest annual Interest Expenses in data going back to FY2009.
- Per Business Quant, earlier years put 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) | Int Expense (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
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 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=interest-expenses&ticker=HSY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=interest-expenses&ticker=HSY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();