Seneca Foods (SENEA) Return on Sales [ROS] (2010 - 2026)
Seneca Foods (SENEA) recorded Return on Sales [ROS] of 6.47% in fiscal Q1 2027 (quarter ended Jun 27, 2026), down 1.33 percentage points from 7.80% a year earlier but up 0.45 percentage points from the prior quarter.
Seneca Foods (SENEA) Return on Sales [ROS] (2010 - 2026) Analysis & Trends
On a TTM basis, Seneca Foods' Return on Sales [ROS] came in at 8.57% as of Jun 27, 2026, up 3.76 percentage points year-over-year; for FY2026 (ended Mar 31, 2026), it was 8.94%, up 4.02 percentage points from FY2025.
- Annual Return on Sales [ROS] has a five-year change of -3.40 percentage points (FY2021 to FY2026).
- Across earlier fiscal years, Return on Sales [ROS] came in at 4.93% in FY2025 (-2.43 pp), 7.35% in FY2024 (+5.94 pp), 1.42% in FY2023 (-3.21 pp) and 4.62% in FY2022 (-7.72 pp).
- Quarterly Return on Sales [ROS] has ranged from -11.14% in fiscal Q4 2023 to 11.89% in fiscal Q1 2024 over the past five years.
- On a year-over-year basis, Return on Sales [ROS] rose in three of the last eight quarters, with an average year-over-year change of +0.97 percentage points.
- Peak year-over-year performance for Return on Sales [ROS] in the last five years was a gain of 11.97 percentage points in fiscal Q4 2024, against a drop of 13.38 percentage points in fiscal Q3 2022 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at 6.03% (Q4 2026), 11.80% (Q3 2026) and 9.02% (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 130.23 Bn | 105.59 Bn | - | - |
| 2 | Mondelez International | 74.27 Bn | 67.59 Bn | 3.99 Bn | 20.80% |
| 3 | Hershey | 32.39 Bn | 28.63 Bn | 1.26 Bn | 23.06% |
| 4 | Kraft Heinz | 26.34 Bn | 12.87 Bn | 2.03 Bn | -102.70% |
| 5 | General Mills | 17.12 Bn | 14.77 Bn | 1.49 Bn | 14.43% |
| 6 | J M Smucker | 12.52 Bn | 12.30 Bn | 979.60 Mn | 23.05% |
| 7 | Mccormick | 12.03 Bn | 11.67 Bn | 794.90 Mn | 10.72% |
| 8 | Hormel Foods | 11.14 Bn | 7.83 Bn | 471.52 Mn | 3.75% |
| 9 | Chewy | 7.29 Bn | 4.58 Bn | 1.01 Bn | 2.76% |
| 10 | Seneca Foods | 1.20 Bn | 1.02 Bn | 47.85 Mn | 6.47% |
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 6.47% |
| Mar 31, 2026 | 6.03% |
| Dec 27, 2025 | 11.80% |
| Sep 27, 2025 | 9.02% |
| Jun 28, 2025 | 7.80% |
| Mar 31, 2025 | 0.57% |
| Dec 28, 2024 | 5.10% |
| Sep 28, 2024 | 5.80% |
| Jun 29, 2024 | 8.35% |
| Mar 31, 2024 | 0.83% |
| Dec 30, 2023 | 6.92% |
| Sep 30, 2023 | 9.43% |
| Jul 1, 2023 | 11.89% |
| Mar 31, 2023 | -11.14% |
| Dec 31, 2022 | 6.30% |
| Oct 1, 2022 | 4.96% |
| Jul 2, 2022 | 2.49% |
| Mar 31, 2022 | 0.24% |
| Jan 1, 2022 | 5.31% |
| Oct 2, 2021 | 5.86% |
Seneca 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=SENEA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "SENEA", "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=SENEA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();