Hormel Foods (HRL) Selling, General & Administrative (2009 - 2026)
Hormel Foods' Selling, General & Administrative 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.
Hormel Foods (HRL) Selling, General & Administrative (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Hormel Foods' Selling, General & Administrative was $1.11 billion through Jul 26, 2026, up 9.4% year-over-year; for FY2025 (ended Oct 26, 2025), it was $996.62 million, down 0.9% from FY2024.
- Selling, General & Administrative shows a five-year compound annual growth rate of 5.5% (FY2020 to FY2025).
- In earlier fiscal years, Selling, General & Administrative 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 Selling, General & Administrative in data going back to fiscal Q3 2009.
- Compared with a year earlier, Selling, General & Administrative was higher in four of the last eight quarters, with growth averaging 6.4%.
- The best year-over-year quarter for Selling, General & Administrative 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 Selling, General & Administrative 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 Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 130.23 Bn | 105.59 Bn | - | - |
| 2 | Mondelez International | 74.27 Bn | 67.59 Bn | 3.99 Bn | 2.00 Bn |
| 3 | Hershey | 32.39 Bn | 28.63 Bn | 1.26 Bn | 620.55 Mn |
| 4 | Kraft Heinz | 26.34 Bn | 12.87 Bn | 2.03 Bn | 8.46 Bn |
| 5 | General Mills | 17.12 Bn | 14.77 Bn | 1.49 Bn | 832.20 Mn |
| 6 | J M Smucker | 12.52 Bn | 12.30 Bn | 979.60 Mn | 410.50 Mn |
| 7 | Mccormick | 12.03 Bn | 11.67 Bn | 794.90 Mn | 436.40 Mn |
| 8 | Hormel Foods | 11.14 Bn | 7.83 Bn | 471.52 Mn | 323.50 Mn |
| 9 | Chewy | 7.29 Bn | 4.58 Bn | 1.01 Bn | 704.40 Mn |
| 10 | Conagra Brands | 6.38 Bn | 5.69 Bn | 618.70 Mn | 350.30 Mn |
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 |
Hormel Foods Selling, General & Administrative 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=selling-general-and-administrative&ticker=HRL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=HRL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();