J&J Snack Foods (JJSF) Revenue (2010 - 2026)
J&J Snack Foods (JJSF) reported Revenue of $425.96 million for fiscal Q3 2026 (quarter ended Jun 27, 2026), down 6.2% from $454.29 million a year earlier but up 23.5% from the prior quarter.
J&J Snack Foods (JJSF) Revenue (2010 - 2026) Analysis & Trends
Over the twelve months ended Jun 27, 2026, J&J Snack Foods' Revenue came in at $1.52 billion, down 4.7% year-over-year; for FY2025 (ended Sep 27, 2025), it came in at $1.58 billion, up 0.5% from FY2024.
- Revenue has increased for five consecutive fiscal years, with a five-year compound annual growth rate of 9.1% (FY2020 to FY2025).
- By fiscal year, Revenue came in at $1.57 billion in FY2024 (+1.0%), $1.56 billion in FY2023 (+12.9%), $1.38 billion in FY2022 (+20.6%) and $1.14 billion in FY2021 (+12.0%).
- Five-year quarterly Revenue spans a low of $281.51 million in fiscal Q2 2022 and a high of $454.29 million in fiscal Q3 2025.
- Year over year, Revenue has now declined in each of the last four quarters, with an average decline of 2.0% over the last eight quarters.
- The high point for year-over-year Revenue in five years was fiscal Q1 2022 (growth of 32.2%); the low point was fiscal Q3 2026 (a decline of 6.2%).
- Per Business Quant data, the three fiscal quarters before Q3 2026 came in at $344.82 million (Q2 2026), $343.78 million (Q1 2026) and $410.24 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Revenue (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 145.97 Bn | 97.43 Bn | - | 15.16 Bn |
| 2 | Mondelez International | 83.36 Bn | 76.63 Bn | 3.99 Bn | 9.36 Bn |
| 3 | Hershey | 35.24 Bn | 31.48 Bn | 1.26 Bn | 2.79 Bn |
| 4 | Kraft Heinz | 29.53 Bn | 15.95 Bn | 2.03 Bn | 6.26 Bn |
| 5 | General Mills | 18.72 Bn | 16.36 Bn | 1.49 Bn | 4.39 Bn |
| 6 | J M Smucker | 14.15 Bn | 13.93 Bn | 979.60 Mn | 2.22 Bn |
| 7 | Mccormick | 13.04 Bn | 12.11 Bn | 794.90 Mn | 2.02 Bn |
| 8 | Hormel Foods | 11.68 Bn | 8.35 Bn | 471.52 Mn | 2.96 Bn |
| 9 | Chewy | 9.03 Bn | 6.32 Bn | 1.01 Bn | 3.33 Bn |
| 10 | J&J Snack Foods | 1.58 Bn | 1.28 Bn | 151.02 Mn | 425.96 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 425.96 Mn |
| Mar 28, 2026 | 344.82 Mn |
| Dec 27, 2025 | 343.78 Mn |
| Sep 27, 2025 | 410.24 Mn |
| Jun 28, 2025 | 454.29 Mn |
| Mar 29, 2025 | 356.10 Mn |
| Dec 28, 2024 | 362.60 Mn |
| Sep 28, 2024 | 426.76 Mn |
| Jun 29, 2024 | 439.96 Mn |
| Mar 30, 2024 | 359.73 Mn |
| Dec 30, 2023 | 348.31 Mn |
| Sep 30, 2023 | 443.86 Mn |
| Jun 24, 2023 | 425.77 Mn |
| Mar 25, 2023 | 337.85 Mn |
| Dec 24, 2022 | 351.34 Mn |
| Sep 24, 2022 | 400.43 Mn |
| Jun 25, 2022 | 380.23 Mn |
| Mar 26, 2022 | 281.51 Mn |
| Dec 25, 2021 | 318.49 Mn |
| Sep 25, 2021 | 323.06 Mn |
J&J Snack Foods Revenue 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=revenue&ticker=JJSF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "revenue", "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=revenue&ticker=JJSF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();