J&J Snack Foods (JJSF) Gross Margin (2010 - 2026)
J&J Snack Foods (JJSF) recorded Gross Margin of 35.45% in fiscal Q3 2026 (quarter ended Jun 27, 2026), up 2.43 percentage points from 33.03% a year earlier and up 6.66 percentage points from the prior quarter.
J&J Snack Foods (JJSF) Gross Margin (2010 - 2026) Analysis & Trends
On a TTM basis, J&J Snack Foods' Gross Margin came in at 31.25% as of Jun 27, 2026, up 1.55 percentage points year-over-year; for FY2025 (ended Sep 27, 2025), it came in at 29.68%, down 1.19 percentage points from FY2024.
- Annual Gross Margin has a five-year change of +6.35 percentage points (FY2020 to FY2025).
- Across earlier fiscal years, Gross Margin came in at 30.87% in FY2024 (+0.73 pp), 30.14% in FY2023 (+3.37 pp), 26.77% in FY2022 (+0.66 pp) and 26.12% in FY2021 (+2.79 pp).
- The fiscal Q3 2026 figure is the highest quarterly Gross Margin in data going back to fiscal Q3 2010.
- On a year-over-year basis, Gross Margin has increased for three consecutive quarters, with an average year-over-year change of +0.03 percentage points over the last eight quarters.
- Peak year-over-year performance for Gross Margin in the last five years was a gain of 7.04 percentage points in fiscal Q4 2021, against a drop of 3.21 percentage points in fiscal Q2 2025 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at 28.80% (Q2 2026), 27.93% (Q1 2026) and 31.75% (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Gross Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 133.59 Bn | 108.95 Bn | - | - |
| 2 | Mondelez International | 75.71 Bn | 69.03 Bn | 3.99 Bn | 42.61% |
| 3 | Hershey | 32.64 Bn | 28.88 Bn | 1.26 Bn | 45.32% |
| 4 | Kraft Heinz | 27.82 Bn | 14.35 Bn | 2.03 Bn | 32.39% |
| 5 | General Mills | 18.09 Bn | 15.75 Bn | 1.49 Bn | 33.88% |
| 6 | Mccormick | 13.03 Bn | 12.90 Bn | 778.20 Mn | 40.18% |
| 7 | J M Smucker | 12.89 Bn | 12.68 Bn | 979.60 Mn | 44.14% |
| 8 | Hormel Foods | 10.92 Bn | 7.61 Bn | 471.52 Mn | 15.92% |
| 9 | Chewy | 7.33 Bn | 4.62 Bn | 1.01 Bn | 30.36% |
| 10 | J&J Snack Foods | 1.44 Bn | 1.14 Bn | 151.02 Mn | 35.45% |
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 35.45% |
| Mar 28, 2026 | 28.80% |
| Dec 27, 2025 | 27.93% |
| Sep 27, 2025 | 31.75% |
| Jun 28, 2025 | 33.03% |
| Mar 29, 2025 | 26.88% |
| Dec 28, 2024 | 25.90% |
| Sep 28, 2024 | 31.76% |
| Jun 29, 2024 | 33.59% |
| Mar 30, 2024 | 30.09% |
| Dec 30, 2023 | 27.16% |
| Sep 30, 2023 | 32.84% |
| Jun 24, 2023 | 33.56% |
| Mar 25, 2023 | 26.75% |
| Dec 24, 2022 | 25.86% |
| Sep 24, 2022 | 28.93% |
| Jun 25, 2022 | 28.69% |
| Mar 26, 2022 | 23.21% |
| Dec 25, 2021 | 24.92% |
| Sep 25, 2021 | 28.40% |
J&J Snack Foods Gross 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=gross-margin&ticker=JJSF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "gross-margin", "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=gross-margin&ticker=JJSF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();