J&J Snack Foods (JJSF) EBITDA Margin (2010 - 2026)
J&J Snack Foods (JJSF) recorded EBITDA Margin of 15.60% in fiscal Q3 2026 (quarter ended Jun 27, 2026), down 2.26 percentage points from 17.86% a year earlier but up 9.19 percentage points from the prior quarter.
J&J Snack Foods (JJSF) EBITDA Margin (2010 - 2026) Analysis & Trends
On a TTM basis, J&J Snack Foods' EBITDA Margin came in at 9.27% as of Jun 27, 2026, down 2.78 percentage points year-over-year; for FY2025 (ended Sep 27, 2025), it came in at 10.42%, down 1.98 percentage points from FY2024.
- Annual EBITDA Margin has a five-year change of +3.23 percentage points (FY2020 to FY2025).
- Across earlier fiscal years, EBITDA Margin came in at 12.40% in FY2024 (+0.91 pp), 11.49% in FY2023 (+2.92 pp), 8.58% in FY2022 (-2.19 pp) and 10.77% in FY2021 (+3.58 pp).
- Quarterly EBITDA Margin has ranged from 6.04% in fiscal Q1 2026 to 17.86% in fiscal Q3 2025 over the past five years.
- On a year-over-year basis, EBITDA Margin has declined for four consecutive quarters, with an average year-over-year change of -1.49 percentage points over the last eight quarters.
- Peak year-over-year performance for EBITDA Margin in the last five years was a gain of 6.27 percentage points in fiscal Q3 2023, against a drop of 6.69 percentage points in fiscal Q3 2022 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at 6.41% (Q2 2026), 6.04% (Q1 2026) and 7.81% (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 132.43 Bn | 107.80 Bn | - | - |
| 2 | Mondelez International | 73.80 Bn | 67.12 Bn | 3.99 Bn | 24.54% |
| 3 | Hershey | 31.86 Bn | 28.11 Bn | 1.26 Bn | 27.94% |
| 4 | Kraft Heinz | 26.96 Bn | 13.49 Bn | 2.03 Bn | -98.53% |
| 5 | General Mills | 17.20 Bn | 14.85 Bn | 1.49 Bn | 17.62% |
| 6 | J M Smucker | 12.70 Bn | 12.49 Bn | 979.60 Mn | 28.80% |
| 7 | Mccormick | 12.49 Bn | 12.36 Bn | 778.20 Mn | 18.07% |
| 8 | Hormel Foods | 10.97 Bn | 7.66 Bn | 471.52 Mn | 5.99% |
| 9 | Chewy | 7.31 Bn | 4.59 Bn | 1.01 Bn | 3.95% |
| 10 | J&J Snack Foods | 1.42 Bn | 1.13 Bn | 151.02 Mn | 15.60% |
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 15.60% |
| Mar 28, 2026 | 6.41% |
| Dec 27, 2025 | 6.04% |
| Sep 27, 2025 | 7.81% |
| Jun 28, 2025 | 17.86% |
| Mar 29, 2025 | 7.24% |
| Dec 28, 2024 | 7.15% |
| Sep 28, 2024 | 14.06% |
| Jun 29, 2024 | 15.98% |
| Mar 30, 2024 | 10.26% |
| Dec 30, 2023 | 8.06% |
| Sep 30, 2023 | 13.49% |
| Jun 24, 2023 | 15.44% |
| Mar 25, 2023 | 8.09% |
| Dec 24, 2022 | 7.46% |
| Sep 24, 2022 | 9.58% |
| Jun 25, 2022 | 9.17% |
| Mar 26, 2022 | 6.12% |
| Dec 25, 2021 | 8.78% |
| Sep 25, 2021 | 11.39% |
J&J Snack Foods EBITDA 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=ebitda-margin&ticker=JJSF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda-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=ebitda-margin&ticker=JJSF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();