J&J Snack Foods (JJSF) Return on Sales [ROS] (2010 - 2026)
J&J Snack Foods (JJSF) reported Return on Sales [ROS] of 10.86% for fiscal Q3 2026 (quarter ended Jun 27, 2026), down 2.48 percentage points from 13.34% a year earlier but up 10.34 percentage points from the prior quarter.
J&J Snack Foods (JJSF) Return on Sales [ROS] (2010 - 2026) Analysis & Trends
Over the twelve months ended Jun 27, 2026, J&J Snack Foods' Return on Sales [ROS] came in at 3.95%, down 3.10 percentage points year-over-year; for FY2025 (ended Sep 27, 2025), it came in at 5.33%, down 2.14 percentage points from FY2024.
- Return on Sales [ROS] has a five-year change of +3.64 percentage points (FY2020 to FY2025).
- By fiscal year, Return on Sales [ROS] came in at 7.46% in FY2024 (+0.44 pp), 7.03% in FY2023 (+2.55 pp), 4.48% in FY2022 (-1.75 pp) and 6.22% in FY2021 (+4.54 pp).
- Five-year quarterly Return on Sales [ROS] spans a low of 0.19% in fiscal Q1 2026 and a high of 13.34% in fiscal Q3 2025.
- Year over year, Return on Sales [ROS] has now declined in each of the last four quarters, with an average year-over-year change of -1.77 percentage points over the last eight quarters.
- The high point for year-over-year Return on Sales [ROS] in five years was fiscal Q4 2021 (a gain of 6.27 percentage points); the low point was fiscal Q4 2025 (a drop of 6.54 percentage points).
- Per Business Quant data, the three fiscal quarters before Q3 2026 came in at 0.52% (Q2 2026), 0.19% (Q1 2026) and 2.80% (Q4 2025).
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 | J&J Snack Foods | 1.46 Bn | 1.16 Bn | 151.02 Mn | 10.86% |
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 10.86% |
| Mar 28, 2026 | 0.52% |
| Dec 27, 2025 | 0.19% |
| Sep 27, 2025 | 2.80% |
| Jun 28, 2025 | 13.34% |
| Mar 29, 2025 | 1.69% |
| Dec 28, 2024 | 1.72% |
| Sep 28, 2024 | 9.34% |
| Jun 29, 2024 | 11.39% |
| Mar 30, 2024 | 4.98% |
| Dec 30, 2023 | 2.78% |
| Sep 30, 2023 | 9.40% |
| Jun 24, 2023 | 11.34% |
| Mar 25, 2023 | 3.02% |
| Dec 24, 2022 | 2.65% |
| Sep 24, 2022 | 5.40% |
| Jun 25, 2022 | 5.59% |
| Mar 26, 2022 | 1.45% |
| Dec 25, 2021 | 4.66% |
| Sep 25, 2021 | 7.82% |
J&J Snack 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=JJSF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "JJSF", "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=JJSF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();