Hormel Foods (HRL) Operating Expenses (2009 - 2026)
Hormel Foods' Operating Expenses was $323.5 million in fiscal Q3 2026 (quarter ended Jul 26, 2026), up 25.0% from $258.71 million a year earlier and up 1.5% from the prior quarter.
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Analysis
Hormel Foods (HRL) Operating Expenses (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Hormel Foods' Operating Expenses was $1.11 billion through Jul 26, 2026, up 9.4% year-over-year; for FY2025 (ended Oct 26, 2025), it came in at $996.62 million, down 0.9% from FY2024.
- Operating Expenses shows a five-year compound annual growth rate of 5.5% (FY2020 to FY2025).
- In earlier fiscal years, Operating Expenses was $1.01 billion in FY2024 (+6.7%), $942.17 million in FY2023 (+7.2%), $879.27 million in FY2022 (+3.1%) and $853.07 million in FY2021 (+12.1%).
- The fiscal Q3 2026 figure marks the highest quarterly Operating Expenses in data going back to fiscal Q3 2009.
- Compared with a year earlier, Operating Expenses was higher in four of the last eight quarters, with growth averaging 6.4%.
- The best year-over-year quarter for Operating Expenses over five years was fiscal Q3 2023 (growth of 31.0%); the worst was fiscal Q3 2024 (a decline of 10.8%).
- Per Business Quant data, HRL's Operating Expenses in the three fiscal quarters before Q3 2026 was $318.62 million (Q2 2026), $241.7 million (Q1 2026) and $223.47 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 136.33 Bn | 111.70 Bn | - | - |
| 2 | Mondelez International | 76.81 Bn | 70.13 Bn | 3.99 Bn | 2.01 Bn |
| 3 | Hershey | 33.25 Bn | 29.49 Bn | 1.26 Bn | 628.91 Mn |
| 4 | Kraft Heinz | 27.93 Bn | 14.46 Bn | 2.03 Bn | 8.46 Bn |
| 5 | General Mills | 17.97 Bn | 15.62 Bn | 1.49 Bn | 853.60 Mn |
| 6 | Mccormick | 13.05 Bn | 12.93 Bn | 778.20 Mn | 441.80 Mn |
| 7 | J M Smucker | 12.89 Bn | 12.67 Bn | 979.60 Mn | 411.10 Mn |
| 8 | Hormel Foods | 10.99 Bn | 7.67 Bn | 471.52 Mn | 323.50 Mn |
| 9 | Chewy | 7.48 Bn | 4.77 Bn | 1.01 Bn | 919.20 Mn |
| 10 | Conagra Brands | 6.78 Bn | 5.76 Bn | 704.10 Mn | 401.10 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 26, 2026 | 323.50 Mn |
| Apr 26, 2026 | 318.62 Mn |
| Jan 25, 2026 | 241.70 Mn |
| Oct 26, 2025 | 223.47 Mn |
| Jul 27, 2025 | 258.71 Mn |
| Apr 27, 2025 | 251.43 Mn |
| Jan 26, 2025 | 263.01 Mn |
| Oct 27, 2024 | 238.59 Mn |
| Jul 28, 2024 | 259.65 Mn |
| Apr 28, 2024 | 266.67 Mn |
| Jan 28, 2024 | 240.39 Mn |
| Oct 29, 2023 | 216.55 Mn |
| Jul 30, 2023 | 291.07 Mn |
| Apr 30, 2023 | 212.49 Mn |
| Jan 29, 2023 | 222.06 Mn |
| Oct 30, 2022 | 206.49 Mn |
| Jul 31, 2022 | 222.15 Mn |
| May 1, 2022 | 224.66 Mn |
| Jan 30, 2022 | 225.97 Mn |
| Oct 31, 2021 | 230.44 Mn |
API Access
Hormel Foods 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=HRL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "HRL", "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=HRL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();