Hormel Foods (HRL) EBIT (2009 - 2026)
Hormel Foods' EBIT was $110.9 million in fiscal Q3 2026 (quarter ended Jul 26, 2026), down 53.7% from $239.75 million a year earlier and down 48.9% from the prior quarter.
Hormel Foods (HRL) EBIT (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Hormel Foods' EBIT was $573.89 million through Jul 26, 2026, down 43.2% year-over-year; for FY2025 (ended Oct 26, 2025), it was $718.6 million, down 32.7% from FY2024.
- EBIT has now declined for three consecutive fiscal years, with a five-year compound annual growth rate of -8.2% (FY2020 to FY2025).
- In earlier fiscal years, EBIT was $1.07 billion in FY2024 (-0.4%), $1.07 billion in FY2023 (-18.3%), $1.31 billion in FY2022 (+16.9%) and $1.12 billion in FY2021 (+2.0%).
- Quarterly EBIT has moved between $2.17 million (fiscal Q4 2025) and $367.16 million (fiscal Q4 2022) over five years.
- Compared with a year earlier, EBIT was higher in three of the last eight quarters, with an average decline of 21.2%.
- The best year-over-year quarter for EBIT over five years was fiscal Q3 2022 (growth of 40.3%); the worst was fiscal Q4 2025 (a decline of 99.3%).
- Per Business Quant data, HRL's EBIT in the three fiscal quarters before Q3 2026 was $217.11 million (Q2 2026), $243.7 million (Q1 2026) and $2.17 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBIT (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 136.33 Bn | 111.70 Bn | - | - |
| 2 | Mondelez International | 76.81 Bn | 70.13 Bn | 3.99 Bn | 1.95 Bn |
| 3 | Hershey | 33.25 Bn | 29.49 Bn | 1.26 Bn | 642.64 Mn |
| 4 | Kraft Heinz | 27.93 Bn | 14.46 Bn | 2.03 Bn | -6.43 Bn |
| 5 | General Mills | 17.97 Bn | 15.62 Bn | 1.49 Bn | 633.60 Mn |
| 6 | Mccormick | 13.05 Bn | 12.93 Bn | 778.20 Mn | 276.40 Mn |
| 7 | J M Smucker | 12.89 Bn | 12.67 Bn | 979.60 Mn | 511.60 Mn |
| 8 | Hormel Foods | 10.99 Bn | 7.67 Bn | 471.52 Mn | 110.90 Mn |
| 9 | Chewy | 7.48 Bn | 4.77 Bn | 1.01 Bn | 92.00 Mn |
| 10 | Conagra Brands | 6.78 Bn | 5.76 Bn | 704.10 Mn | -1.66 Bn |
Historic Data
| Date | Value |
|---|---|
| Jul 26, 2026 | 110.90 Mn |
| Apr 26, 2026 | 217.11 Mn |
| Jan 25, 2026 | 243.70 Mn |
| Oct 26, 2025 | 2.17 Mn |
| Jul 27, 2025 | 239.75 Mn |
| Apr 27, 2025 | 248.35 Mn |
| Jan 26, 2025 | 228.33 Mn |
| Oct 27, 2024 | 294.48 Mn |
| Jul 28, 2024 | 236.69 Mn |
| Apr 28, 2024 | 252.32 Mn |
| Jan 28, 2024 | 284.44 Mn |
| Oct 29, 2023 | 270.04 Mn |
| Jul 30, 2023 | 216.76 Mn |
| Apr 30, 2023 | 295.80 Mn |
| Jan 29, 2023 | 289.45 Mn |
| Oct 30, 2022 | 367.16 Mn |
| Jul 31, 2022 | 291.04 Mn |
| May 1, 2022 | 334.73 Mn |
| Jan 30, 2022 | 319.68 Mn |
| Oct 31, 2021 | 357.68 Mn |
Hormel Foods EBIT 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=ebit&ticker=HRL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebit", "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=ebit&ticker=HRL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();