Hershey (HSY) Operating Expenses (2009 - 2026)
Hershey (HSY) posted Operating Expenses of $628.91 million for Q2 2026, up 1.7% from $618.35 million a year earlier and up 6.7% from the prior quarter.
Hershey (HSY) Operating Expenses (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jun 28, 2026, Operating Expenses at Hershey was $2.54 billion, up 2.3% year-over-year; for FY2025, it came in at $2.52 billion, up 1.2% from FY2024.
- Annual Operating Expenses has increased for six consecutive years, with a five-year compound annual growth rate of 5.6% (FY2020 to FY2025).
- In prior years, Hershey's Operating Expenses was $2.49 billion in FY2024 (+2.1%), $2.44 billion in FY2023 (+8.9%), $2.24 billion in FY2022 (+11.0%) and $2.02 billion in FY2021 (+5.0%).
- Quarterly Operating Expenses has run from a low of $489.54 million in Q3 2021 to a high of $705.98 million in Q4 2025 over five years.
- On a year-over-year basis, Operating Expenses has increased in each of the last three quarters, with growth averaging 0.9% over the last eight quarters.
- The strongest year-over-year quarter for Operating Expenses in the past five years was Q2 2022, with growth of 15.5%; the weakest was Q1 2025, with a decline of 7.9%.
- According to Business Quant data, Operating Expenses for the three prior quarters was $589.4 million (Q1 2026), $705.98 million (Q4 2025) and $611.12 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 133.59 Bn | 108.95 Bn | - | - |
| 2 | Mondelez International | 75.71 Bn | 69.03 Bn | 3.99 Bn | 2.01 Bn |
| 3 | Hershey | 32.64 Bn | 28.88 Bn | 1.26 Bn | 628.91 Mn |
| 4 | Kraft Heinz | 27.82 Bn | 14.35 Bn | 2.03 Bn | 8.46 Bn |
| 5 | General Mills | 18.09 Bn | 15.75 Bn | 1.49 Bn | 853.60 Mn |
| 6 | Mccormick | 13.03 Bn | 12.90 Bn | 778.20 Mn | 441.80 Mn |
| 7 | J M Smucker | 12.89 Bn | 12.68 Bn | 979.60 Mn | 411.10 Mn |
| 8 | Hormel Foods | 10.92 Bn | 7.61 Bn | 471.52 Mn | 323.50 Mn |
| 9 | Chewy | 7.33 Bn | 4.62 Bn | 1.01 Bn | 919.20 Mn |
| 10 | Conagra Brands | 6.75 Bn | 5.73 Bn | 704.10 Mn | 401.10 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 628.91 Mn |
| Mar 29, 2026 | 589.40 Mn |
| Dec 31, 2025 | 705.98 Mn |
| Sep 28, 2025 | 611.12 Mn |
| Jun 29, 2025 | 618.35 Mn |
| Mar 30, 2025 | 584.53 Mn |
| Dec 31, 2024 | 635.47 Mn |
| Sep 29, 2024 | 641.05 Mn |
| Jun 30, 2024 | 579.99 Mn |
| Mar 31, 2024 | 634.65 Mn |
| Dec 31, 2023 | 658.81 Mn |
| Oct 1, 2023 | 623.88 Mn |
| Jul 2, 2023 | 573.32 Mn |
| Apr 2, 2023 | 583.94 Mn |
| Dec 31, 2022 | 618.49 Mn |
| Oct 2, 2022 | 552.27 Mn |
| Jul 3, 2022 | 544.17 Mn |
| Apr 3, 2022 | 525.50 Mn |
| Dec 31, 2021 | 555.72 Mn |
| Oct 3, 2021 | 489.54 Mn |
Hershey 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=operating-expenses&ticker=HSY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=operating-expenses&ticker=HSY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();