Hershey (HSY) Operating Expenses (2009 - 2026)
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Analysis
Hershey (HSY) Operating Expenses (2009 - 2026) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 144.95 Bn | 98.82 Bn | - | - |
| 2 | Mondelez International | 84.23 Bn | 77.29 Bn | 3.92 Bn | 2.14 Bn |
| 3 | Hershey | 34.99 Bn | 31.72 Bn | 1.51 Bn | 706.14 Mn |
| 4 | Kraft Heinz | 28.72 Bn | 16.47 Bn | 1.99 Bn | 1.11 Bn |
| 5 | General Mills | 18.50 Bn | 16.16 Bn | 1.49 Bn | 853.60 Mn |
| 6 | J M Smucker | 14.27 Bn | 14.05 Bn | 979.60 Mn | 1.00 Mn |
| 7 | Mccormick | 12.58 Bn | 12.23 Bn | 794.90 Mn | 577.90 Mn |
| 8 | Hormel Foods | 12.22 Bn | 8.90 Bn | 471.52 Mn | 323.50 Mn |
| 9 | Chewy | 9.17 Bn | 6.46 Bn | 1.01 Bn | 919.20 Mn |
| 10 | Lamb Weston Holdings | 7.87 Bn | 7.49 Bn | 266.50 Mn | 184.30 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 27, 2026 | 706.14 Mn |
| 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 |
API Access
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_KEYimport 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();