Hormel Foods (HRL) Return on Sales [ROS] (2009 - 2026)
Hormel Foods' Return on Sales [ROS] came in at 3.75% for 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) Return on Sales [ROS] (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Jul 26, 2026, Hormel Foods reported Return on Sales [ROS] of 4.72%, down 3.66 percentage points year-over-year; for FY2025 (ended Oct 26, 2025), it was 5.94%, down 3.02 percentage points from FY2024.
- Return on Sales [ROS] carries a five-year change of -5.51 percentage points (FY2020 to FY2025).
- Going back by fiscal year, Return on Sales [ROS] was 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).
- The five-year range for quarterly Return on Sales [ROS] is 0.07% (fiscal Q4 2025) to 11.18% (fiscal Q4 2022).
- Year-over-year, Return on Sales [ROS] increased in two of the last eight quarters, with an average year-over-year change of -1.96 percentage points.
- The fastest year-over-year change in Return on Sales [ROS] over five years came in fiscal Q3 2022 (a gain of 2.35 percentage points), and the weakest in fiscal Q4 2025 (a drop of 9.32 percentage points).
- Business Quant data shows HRL's Return on Sales [ROS] at 7.30% (Q2 2026), 8.05% (Q1 2026) and 0.07% (Q4 2025) in the three fiscal quarters before Q3 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 144.43 Bn | 98.30 Bn | - | - |
| 2 | Mondelez International | 81.43 Bn | 74.75 Bn | 3.99 Bn | 20.80% |
| 3 | Hershey | 34.30 Bn | 30.54 Bn | 1.26 Bn | 23.06% |
| 4 | Kraft Heinz | 29.39 Bn | 15.92 Bn | 2.03 Bn | -102.70% |
| 5 | General Mills | 18.37 Bn | 16.03 Bn | 1.49 Bn | 14.43% |
| 6 | J M Smucker | 13.89 Bn | 13.67 Bn | 979.60 Mn | 23.05% |
| 7 | Mccormick | 12.96 Bn | 12.61 Bn | 794.90 Mn | 10.72% |
| 8 | Hormel Foods | 11.58 Bn | 8.27 Bn | 471.52 Mn | 3.75% |
| 9 | Chewy | 8.80 Bn | 6.09 Bn | 1.01 Bn | 2.76% |
| 10 | Lamb Weston Holdings | 7.42 Bn | 7.04 Bn | 266.50 Mn | 4.92% |
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 Return on Sales [ROS] 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=return-on-sales-%5Bros%5D&ticker=HRL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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=return-on-sales-%5Bros%5D&ticker=HRL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();