J&J Snack Foods (JJSF) Free Cash Flow (2010 - 2026)
J&J Snack Foods (JJSF) posted Free Cash Flow of $30.72 million for fiscal Q3 2026 (quarter ended Jun 27, 2026), up 7.8% from $28.49 million a year earlier.
J&J Snack Foods (JJSF) Free Cash Flow (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 27, 2026, Free Cash Flow at J&J Snack Foods was $92 million, up 38.2% year-over-year; for FY2025 (ended Sep 27, 2025), it was $82.25 million, down 17.3% from FY2024.
- Annual Free Cash Flow shows a five-year compound annual growth rate of 19.1% (FY2020 to FY2025).
- In prior fiscal years, J&J Snack Foods' Free Cash Flow was $99.5 million in FY2024 (+47.3%), $67.54 million in FY2023, -$61.23 million in FY2022 and $47.92 million in FY2021 (+39.6%).
- Quarterly Free Cash Flow has run from a low of -$51.1 million in fiscal Q2 2022 to a high of $45.3 million in fiscal Q3 2024 over five years.
- On a year-over-year basis, Free Cash Flow increased in three of the last six quarters, with an average decline of 6.3%.
- The strongest year-over-year quarter for Free Cash Flow in the past five years was fiscal Q4 2022, with growth of 270.6%; the weakest was fiscal Q1 2025, with a decline of 44.5%.
- According to Business Quant data, Free Cash Flow for the three prior fiscal quarters was -$502,000 (Q2 2026), $16.96 million (Q1 2026) and $44.82 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | FCF (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 140.61 Bn | 92.06 Bn | - | - |
| 2 | Mondelez International | 80.56 Bn | 73.83 Bn | 3.99 Bn | 513.00 Mn |
| 3 | Hershey | 33.97 Bn | 30.22 Bn | 1.26 Bn | 329.49 Mn |
| 4 | Kraft Heinz | 27.90 Bn | 14.32 Bn | 2.03 Bn | 893.00 Mn |
| 5 | General Mills | 17.49 Bn | 15.13 Bn | 1.49 Bn | 207.30 Mn |
| 6 | J M Smucker | 13.63 Bn | 13.41 Bn | 979.60 Mn | 337.30 Mn |
| 7 | Mccormick | 12.49 Bn | 11.55 Bn | 794.90 Mn | 112.10 Mn |
| 8 | Hormel Foods | 11.23 Bn | 7.90 Bn | 471.52 Mn | 172.44 Mn |
| 9 | Chewy | 8.65 Bn | 5.94 Bn | 1.01 Bn | 89.50 Mn |
| 10 | J&J Snack Foods | 1.53 Bn | 1.24 Bn | 151.02 Mn | 30.72 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 30.72 Mn |
| Mar 28, 2026 | -502,000.00 |
| Dec 27, 2025 | 16.96 Mn |
| Sep 27, 2025 | 44.82 Mn |
| Jun 28, 2025 | 28.49 Mn |
| Mar 29, 2025 | -7.16 Mn |
| Dec 28, 2024 | 16.10 Mn |
| Sep 28, 2024 | 29.12 Mn |
| Jun 29, 2024 | 45.30 Mn |
| Mar 30, 2024 | -3.95 Mn |
| Dec 30, 2023 | 29.02 Mn |
| Sep 30, 2023 | 38.07 Mn |
| Jun 24, 2023 | 42.93 Mn |
| Mar 25, 2023 | -3.95 Mn |
| Dec 24, 2022 | -9.50 Mn |
| Sep 24, 2022 | 32.65 Mn |
| Jun 25, 2022 | -32.14 Mn |
| Mar 26, 2022 | -51.10 Mn |
| Dec 25, 2021 | -10.65 Mn |
| Sep 25, 2021 | 8.81 Mn |
J&J Snack Foods Free Cash Flow 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=free-cash-flow&ticker=JJSF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "free-cash-flow", "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=free-cash-flow&ticker=JJSF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();