Hormel Foods (HRL) Operating Margin (2009 - 2026)
Hormel Foods (HRL) recorded Operating Margin of 3.75% in fiscal Q3 2026 (quarter ended Jul 26, 2026), down 4.16 percentage points from 7.90% a year earlier and down 3.56 percentage points from the prior quarter.
Hormel Foods (HRL) Operating Margin (2009 - 2026) Analysis & Trends
On a TTM basis, Hormel Foods' Operating Margin came in at 4.72% as of Jul 26, 2026, down 3.66 percentage points year-over-year; for FY2025 (ended Oct 26, 2025), it came in at 5.94%, down 3.02 percentage points from FY2024.
- Annual Operating Margin has a five-year change of -5.51 percentage points (FY2020 to FY2025).
- Across earlier fiscal years, Operating Margin came in at 8.96% in FY2024 (+0.11 pp), 8.85% in FY2023 (-1.68 pp), 10.54% in FY2022 (+0.68 pp) and 9.86% in FY2021 (-1.59 pp).
- Quarterly Operating Margin has ranged from 0.07% in fiscal Q4 2025 to 11.18% in fiscal Q4 2022 over the past five years.
- On a year-over-year basis, Operating Margin rose in two of the last eight quarters, with an average year-over-year change of -1.96 percentage points.
- Peak year-over-year performance for Operating Margin in the last five years was a gain of 2.35 percentage points in fiscal Q3 2022, against a drop of 9.32 percentage points in fiscal Q4 2025 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at 7.30% (Q2 2026), 8.05% (Q1 2026) and 0.07% (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Operating Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 133.59 Bn | 108.95 Bn | - | - |
| 2 | Mondelez International | 75.71 Bn | 69.03 Bn | 3.99 Bn | 20.80% |
| 3 | Hershey | 32.64 Bn | 28.88 Bn | 1.26 Bn | 23.06% |
| 4 | Kraft Heinz | 27.82 Bn | 14.35 Bn | 2.03 Bn | -102.70% |
| 5 | General Mills | 18.09 Bn | 15.75 Bn | 1.49 Bn | 14.43% |
| 6 | Mccormick | 13.03 Bn | 12.90 Bn | 778.20 Mn | 14.27% |
| 7 | J M Smucker | 12.89 Bn | 12.68 Bn | 979.60 Mn | 23.05% |
| 8 | Hormel Foods | 10.92 Bn | 7.61 Bn | 471.52 Mn | 3.75% |
| 9 | Chewy | 7.33 Bn | 4.62 Bn | 1.01 Bn | 2.76% |
| 10 | Conagra Brands | 6.75 Bn | 5.73 Bn | 704.10 Mn | -57.54% |
Historic Data
| Date | Value |
|---|---|
| Jul 26, 2026 | 3.75% |
| Apr 26, 2026 | 7.30% |
| Jan 25, 2026 | 8.05% |
| Oct 26, 2025 | 0.07% |
| Jul 27, 2025 | 7.90% |
| Apr 27, 2025 | 8.57% |
| Jan 26, 2025 | 7.64% |
| Oct 27, 2024 | 9.38% |
| Jul 28, 2024 | 8.17% |
| Apr 28, 2024 | 8.74% |
| Jan 28, 2024 | 9.49% |
| Oct 29, 2023 | 8.44% |
| Jul 30, 2023 | 7.31% |
| Apr 30, 2023 | 9.93% |
| Jan 29, 2023 | 9.74% |
| Oct 30, 2022 | 11.18% |
| Jul 31, 2022 | 9.59% |
| May 1, 2022 | 10.81% |
| Jan 30, 2022 | 10.50% |
| Oct 31, 2021 | 10.35% |
Hormel Foods Operating Margin 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-margin&ticker=HRL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-margin", "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-margin&ticker=HRL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();