Hershey (HSY) Other Operating Expenses (2009 - 2016)
Hershey's Other Operating Expenses was $1.13 billion in Q3 2016, up 3.4% from $1.09 billion a year earlier and up 32.5% from the prior quarter.
Analysis
Hershey (HSY) Other Operating Expenses (2009 - 2016) Analysis & Trends
For FY2015, Other Operating Expenses at Hershey came in at $4.26 billion, up 3.9% from FY2014.
- Other Operating Expenses has now increased for six consecutive years, with a five-year compound annual growth rate of 5.5% (FY2010 to FY2015).
- In earlier years, Other Operating Expenses was $4.1 billion in FY2014 (+6.0%), $3.86 billion in FY2013 (+2.1%), $3.78 billion in FY2012 (+6.6%) and $3.55 billion in FY2011 (+9.0%).
- The Q3 2016 figure marks the highest quarterly Other Operating Expenses since Q4 2014.
- Compared with a year earlier, Other Operating Expenses was higher in four of the last eight quarters, with growth averaging 0.4%.
- The best year-over-year quarter for Other Operating Expenses over five years was Q2 2015 (growth of 26.3%); the worst was Q2 2016 (a decline of 21.8%).
- Per Business Quant data, HSY's Other Operating Expenses in the three quarters before Q3 2016 was $850.28 million (Q2 2016), $1 billion (Q1 2016) and $1.05 billion (Q4 2015).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (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 |
| 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 |
| 8 | Hormel Foods | 10.97 Bn | 7.66 Bn | 471.52 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 |
|---|---|
| Oct 2, 2016 | 1.13 Bn |
| Jul 3, 2016 | 850.28 Mn |
| Apr 3, 2016 | 1.00 Bn |
| Dec 31, 2015 | 1.05 Bn |
| Oct 4, 2015 | 1.09 Bn |
| Jul 5, 2015 | 1.09 Bn |
| Apr 5, 2015 | 1.03 Bn |
| Dec 31, 2014 | 1.13 Bn |
| Sep 28, 2014 | 1.10 Bn |
| Jun 29, 2014 | 860.88 Mn |
| Mar 30, 2014 | 1.00 Bn |
| Dec 31, 2013 | 1.10 Bn |
| Sep 29, 2013 | 998.34 Mn |
| Jun 30, 2013 | 789.94 Mn |
| Mar 31, 2013 | 978.09 Mn |
| Dec 31, 2012 | 995.83 Mn |
| Sep 30, 2012 | 1.00 Bn |
| Jul 1, 2012 | 795.92 Mn |
| Apr 1, 2012 | 988.67 Mn |
| Dec 31, 2011 | 935.94 Mn |
API Access
Hershey Other Operating 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=other-operating-expenses&ticker=HSY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-operating-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=other-operating-expenses&ticker=HSY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();