J&J Snack Foods (JJSF) Cash from Operations (2010 - 2026)
J&J Snack Foods (JJSF) reported Cash from Operations of $48.8 million for fiscal Q3 2026 (quarter ended Jun 27, 2026), down 4.7% from $51.23 million a year earlier but up 211.3% from the prior quarter.
J&J Snack Foods (JJSF) Cash from Operations (2010 - 2026) Analysis & Trends
Over the twelve months ended Jun 27, 2026, J&J Snack Foods' Cash from Operations came in at $166.87 million, up 15.1% year-over-year; for FY2025 (ended Sep 27, 2025), it was $165.13 million, down 4.6% from FY2024.
- Cash from Operations has a five-year compound annual growth rate of 12.4% (FY2020 to FY2025).
- By fiscal year, Cash from Operations came in at $173.07 million in FY2024 (+0.5%), $172.28 million in FY2023 (+561.0%), $26.06 million in FY2022 (-74.3%) and $101.5 million in FY2021 (+10.2%).
- Five-year quarterly Cash from Operations spans a low of -$31.89 million in fiscal Q2 2022 and a high of $70.27 million in fiscal Q3 2023.
- Year over year, Cash from Operations gained in three of the last eight quarters, with an average decline of 1.8%.
- The high point for year-over-year Cash from Operations in five years was fiscal Q1 2023 (growth of 292.6%); the low point was fiscal Q1 2022 (a decline of 74.4%).
- Per Business Quant data, the three fiscal quarters before Q3 2026 came in at $15.68 million (Q2 2026), $35.96 million (Q1 2026) and $66.43 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash from Ops. (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 140.61 Bn | 92.06 Bn | - | - |
| 2 | Mondelez International | 80.56 Bn | 73.83 Bn | 3.99 Bn | 855.00 Mn |
| 3 | Hershey | 33.97 Bn | 30.22 Bn | 1.26 Bn | 419.32 Mn |
| 4 | Kraft Heinz | 27.90 Bn | 14.32 Bn | 2.03 Bn | 1.08 Bn |
| 5 | General Mills | 17.49 Bn | 15.13 Bn | 1.49 Bn | 297.80 Mn |
| 6 | J M Smucker | 13.63 Bn | 13.41 Bn | 979.60 Mn | 425.70 Mn |
| 7 | Mccormick | 12.49 Bn | 11.55 Bn | 794.90 Mn | 168.10 Mn |
| 8 | Hormel Foods | 11.23 Bn | 7.90 Bn | 471.52 Mn | 240.60 Mn |
| 9 | Chewy | 8.65 Bn | 5.94 Bn | 1.01 Bn | 137.40 Mn |
| 10 | J&J Snack Foods | 1.53 Bn | 1.24 Bn | 151.02 Mn | 48.80 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 48.80 Mn |
| Mar 28, 2026 | 15.68 Mn |
| Dec 27, 2025 | 35.96 Mn |
| Sep 27, 2025 | 66.43 Mn |
| Jun 28, 2025 | 51.23 Mn |
| Mar 29, 2025 | 12.31 Mn |
| Dec 28, 2024 | 35.16 Mn |
| Sep 28, 2024 | 46.32 Mn |
| Jun 29, 2024 | 65.05 Mn |
| Mar 30, 2024 | 12.75 Mn |
| Dec 30, 2023 | 48.95 Mn |
| Sep 30, 2023 | 66.34 Mn |
| Jun 24, 2023 | 70.27 Mn |
| Mar 25, 2023 | 14.26 Mn |
| Dec 24, 2022 | 21.41 Mn |
| Sep 24, 2022 | 55.71 Mn |
| Jun 25, 2022 | -3.21 Mn |
| Mar 26, 2022 | -31.89 Mn |
| Dec 25, 2021 | 5.45 Mn |
| Sep 25, 2021 | 27.93 Mn |
J&J Snack Foods Cash from Operations 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=cash-from-operations&ticker=JJSF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-from-operations", "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=cash-from-operations&ticker=JJSF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();