J&J Snack Foods (JJSF) Cash & Equivalents (2010 - 2026)
J&J Snack Foods' Cash & Equivalents came in at $63.1 million for fiscal Q3 2026 (quarter ended Jun 27, 2026), down 18.5% from $77.38 million a year earlier but up 5.6% from the prior quarter.
J&J Snack Foods (JJSF) Cash & Equivalents (2010 - 2026) Analysis & Trends
At the end of FY2025 (ended Sep 27, 2025), J&J Snack Foods' Cash & Equivalents was $105.89 million, up 44.3% from FY2024.
- Cash & Equivalents has increased in each of the last three fiscal years, though with a five-year compound annual growth rate of -11.6% (FY2020 to FY2025).
- Going back by fiscal year, Cash & Equivalents was $73.39 million in FY2024 (+48.0%), $49.58 million in FY2023 (+40.9%), $35.18 million in FY2022 (-87.6%) and $283.19 million in FY2021 (+44.6%).
- The five-year range for quarterly Cash & Equivalents is $35.18 million (fiscal Q4 2022) to $283.19 million (fiscal Q4 2021).
- Year-over-year, Cash & Equivalents increased in six of the last eight quarters, with growth averaging 20.8%.
- The fastest year-over-year change in Cash & Equivalents over five years came in fiscal Q4 2024 (growth of 48.0%), and the weakest in fiscal Q4 2022 (a decline of 87.6%).
- Business Quant data shows JJSF's Cash & Equivalents at $59.75 million (Q2 2026), $66.76 million (Q1 2026) and $105.89 million (Q4 2025) in the three fiscal quarters before Q3 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 144.42 Bn | 95.87 Bn | - | 5.40 Bn |
| 2 | Mondelez International | 81.91 Bn | 75.17 Bn | 3.99 Bn | 1.72 Bn |
| 3 | Hershey | 34.17 Bn | 30.41 Bn | 1.26 Bn | 791.21 Mn |
| 4 | Kraft Heinz | 29.40 Bn | 15.81 Bn | 2.03 Bn | 2.42 Bn |
| 5 | General Mills | 18.49 Bn | 16.14 Bn | 1.49 Bn | 433.10 Mn |
| 6 | J M Smucker | 13.88 Bn | 13.66 Bn | 979.60 Mn | 43.20 Mn |
| 7 | Mccormick | 12.93 Bn | 12.00 Bn | 794.90 Mn | 331.10 Mn |
| 8 | Hormel Foods | 11.58 Bn | 8.25 Bn | 471.52 Mn | 839.64 Mn |
| 9 | Chewy | 8.92 Bn | 6.21 Bn | 1.01 Bn | 611.00 Mn |
| 10 | J&J Snack Foods | 1.56 Bn | 1.27 Bn | 151.02 Mn | 63.10 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 63.10 Mn |
| Mar 28, 2026 | 59.75 Mn |
| Dec 27, 2025 | 66.76 Mn |
| Sep 27, 2025 | 105.89 Mn |
| Jun 28, 2025 | 77.38 Mn |
| Mar 29, 2025 | 48.51 Mn |
| Dec 28, 2024 | 73.56 Mn |
| Sep 28, 2024 | 73.39 Mn |
| Jun 29, 2024 | 64.05 Mn |
| Mar 30, 2024 | 43.65 Mn |
| Dec 30, 2023 | 50.02 Mn |
| Sep 30, 2023 | 49.58 Mn |
| Jun 24, 2023 | 65.64 Mn |
| Mar 25, 2023 | 43.28 Mn |
| Dec 24, 2022 | 54.87 Mn |
| Sep 24, 2022 | 35.18 Mn |
| Jun 25, 2022 | 81.28 Mn |
| Mar 26, 2022 | 221.02 Mn |
| Dec 25, 2021 | 268.46 Mn |
| Sep 25, 2021 | 283.19 Mn |
J&J Snack Foods Cash & Equivalents 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-and-equivalents&ticker=JJSF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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-and-equivalents&ticker=JJSF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();