Hershey (HSY) Other Operating Expenses (2009 - 2016)
Hershey (HSY) recorded Other Operating Expenses of -$24.48 million in Q4 2025, compared with -$162.29 million a year earlier.
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Analysis
Hershey (HSY) Other Operating Expenses (2009 - 2016) Analysis & Trends
Starting with Q1 2009, Hershey's Other Operating Expenses history includes 59 quarters.
- Across earlier years, Other Operating Expenses came in at -$243.31 million in FY2024, -$210.48 million in FY2023, -$188.29 million in FY2022 and -$113.76 million in FY2021.
- The Q4 2025 figure is the highest quarterly Other Operating Expenses since Q2 2022.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Unilever | 144.95 Bn | 98.82 Bn | - |
| 2 | Mondelez International | 84.23 Bn | 77.29 Bn | 3.92 Bn |
| 3 | Hershey | 34.99 Bn | 31.72 Bn | 1.51 Bn |
| 4 | Kraft Heinz | 28.72 Bn | 16.47 Bn | 1.99 Bn |
| 5 | General Mills | 18.50 Bn | 16.16 Bn | 1.49 Bn |
| 6 | J M Smucker | 14.27 Bn | 14.05 Bn | 979.60 Mn |
| 7 | Mccormick | 12.58 Bn | 12.23 Bn | 794.90 Mn |
| 8 | Hormel Foods | 12.22 Bn | 8.90 Bn | 471.52 Mn |
| 9 | Chewy | 9.17 Bn | 6.46 Bn | 1.01 Bn |
| 10 | Lamb Weston Holdings | 7.87 Bn | 7.49 Bn | 266.50 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 | 747.45 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_KEYimport 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();