J&J Snack Foods (JJSF) Dividends payables (2010 - 2026)
J&J Snack Foods (JJSF) posted Dividends payables of $14.93 million for fiscal Q3 2026 (quarter ended Jun 27, 2026), down 1.6% from $15.18 million a year earlier and down 0.5% from the prior quarter.
J&J Snack Foods (JJSF) Dividends payables (2010 - 2026) Analysis & Trends
At the end of FY2025 (ended Sep 27, 2025), J&J Snack Foods' Dividends payables came in at $15.55 million, up 2.5% from FY2024.
- Annual Dividends payables has increased for 15 consecutive fiscal years, with a five-year compound annual growth rate of 7.4% (FY2020 to FY2025).
- In prior fiscal years, J&J Snack Foods' Dividends payables was $15.18 million in FY2024 (+6.8%), $14.21 million in FY2023 (+5.6%), $13.45 million in FY2022 (+11.4%) and $12.08 million in FY2021 (+11.1%).
- The fiscal Q3 2026 figure stands as the lowest quarterly Dividends payables since fiscal Q3 2024.
- On a year-over-year basis, Dividends payables increased in six of the last eight quarters, with growth averaging 3.3%.
- The strongest year-over-year quarter for Dividends payables in the past five years was fiscal Q1 2023, with growth of 11.4%; the weakest was fiscal Q3 2026, with a decline of 1.6%.
- According to Business Quant data, Dividends payables for the three prior fiscal quarters was $15 million (Q2 2026), $15.21 million (Q1 2026) and $15.55 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dividends payables (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 133.59 Bn | 108.95 Bn | - | - |
| 2 | Mondelez International | 75.71 Bn | 69.03 Bn | 3.99 Bn | - |
| 3 | Hershey | 32.64 Bn | 28.88 Bn | 1.26 Bn | - |
| 4 | Kraft Heinz | 27.82 Bn | 14.35 Bn | 2.03 Bn | - |
| 5 | General Mills | 18.09 Bn | 15.75 Bn | 1.49 Bn | - |
| 6 | Mccormick | 13.03 Bn | 12.90 Bn | 778.20 Mn | - |
| 7 | J M Smucker | 12.89 Bn | 12.68 Bn | 979.60 Mn | - |
| 8 | Hormel Foods | 10.92 Bn | 7.61 Bn | 471.52 Mn | - |
| 9 | Chewy | 7.33 Bn | 4.62 Bn | 1.01 Bn | - |
| 10 | J&J Snack Foods | 1.44 Bn | 1.14 Bn | 151.02 Mn | 14.93 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 14.93 Mn |
| Mar 28, 2026 | 15.00 Mn |
| Dec 27, 2025 | 15.21 Mn |
| Sep 27, 2025 | 15.55 Mn |
| Jun 28, 2025 | 15.18 Mn |
| Mar 29, 2025 | 15.20 Mn |
| Dec 28, 2024 | 15.19 Mn |
| Sep 28, 2024 | 15.18 Mn |
| Jun 29, 2024 | 14.26 Mn |
| Mar 30, 2024 | 14.25 Mn |
| Dec 30, 2023 | 14.24 Mn |
| Sep 30, 2023 | 14.21 Mn |
| Jun 24, 2023 | 13.49 Mn |
| Mar 25, 2023 | 13.48 Mn |
| Dec 24, 2022 | 13.46 Mn |
| Sep 24, 2022 | 13.45 Mn |
| Jun 25, 2022 | 12.14 Mn |
| Mar 26, 2022 | 12.14 Mn |
| Dec 25, 2021 | 12.08 Mn |
| Sep 25, 2021 | 12.08 Mn |
J&J Snack Foods Dividends payables 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=dividends-payables&ticker=JJSF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "dividends-payables", "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=dividends-payables&ticker=JJSF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();