J&J Snack Foods (JJSF) Change in Receivables (2010 - 2026)
J&J Snack Foods (JJSF) posted Change in Receivables of $32.39 million for fiscal Q3 2026 (quarter ended Jun 27, 2026), up 0.3% from $32.29 million a year earlier and up 96.4% from the prior quarter.
J&J Snack Foods (JJSF) Change in Receivables (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 27, 2026, Change in Receivables at J&J Snack Foods was $4.02 million; for FY2025 (ended Sep 27, 2025), it was -$5.5 million.
- In prior fiscal years, J&J Snack Foods' Change in Receivables was -$7.93 million in FY2024, -$11.4 million in FY2023, $32.78 million in FY2022 (-8.3%) and $35.76 million in FY2021.
- The fiscal Q3 2026 figure stands as the highest quarterly Change in Receivables since fiscal Q3 2022.
- On a year-over-year basis, Change in Receivables increased in three of the last four quarters, with growth averaging 14.6%.
- The strongest year-over-year quarter for Change in Receivables in the past five years was fiscal Q3 2022, with growth of 210.9%; the weakest was fiscal Q3 2023, with a decline of 65.6%.
- According to Business Quant data, Change in Receivables for the three prior fiscal quarters was $16.49 million (Q2 2026), -$22.87 million (Q1 2026) and -$21.99 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 144.49 Bn | 95.95 Bn | - | - |
| 2 | Mondelez International | 82.46 Bn | 75.72 Bn | 3.99 Bn | -304.00 Mn |
| 3 | Hershey | 35.11 Bn | 31.35 Bn | 1.26 Bn | -69.90 Mn |
| 4 | Kraft Heinz | 28.93 Bn | 15.35 Bn | 2.03 Bn | -12.00 Mn |
| 5 | General Mills | 18.36 Bn | 16.01 Bn | 1.49 Bn | 58.50 Mn |
| 6 | J M Smucker | 13.97 Bn | 13.75 Bn | 979.60 Mn | -40.10 Mn |
| 7 | Mccormick | 12.89 Bn | 11.96 Bn | 794.90 Mn | 119.20 Mn |
| 8 | Hormel Foods | 11.60 Bn | 8.27 Bn | 471.52 Mn | -22.14 Mn |
| 9 | Chewy | 8.85 Bn | 6.13 Bn | 1.01 Bn | -200,000.00 |
| 10 | J&J Snack Foods | 1.56 Bn | 1.27 Bn | 151.02 Mn | 32.39 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 32.39 Mn |
| Mar 28, 2026 | 16.49 Mn |
| Dec 27, 2025 | -22.87 Mn |
| Sep 27, 2025 | -21.99 Mn |
| Jun 28, 2025 | 32.29 Mn |
| Mar 29, 2025 | 9.19 Mn |
| Dec 28, 2024 | -24.99 Mn |
| Sep 28, 2024 | -18.88 Mn |
| Jun 29, 2024 | 31.06 Mn |
| Mar 30, 2024 | 12.30 Mn |
| Dec 30, 2023 | -32.41 Mn |
| Sep 30, 2023 | -19.08 Mn |
| Jun 24, 2023 | 18.22 Mn |
| Mar 25, 2023 | 10.63 Mn |
| Dec 24, 2022 | -21.17 Mn |
| Sep 24, 2022 | -45.28 Mn |
| Jun 25, 2022 | 53.03 Mn |
| Mar 26, 2022 | 25.26 Mn |
| Dec 25, 2021 | -231,000.00 |
| Sep 25, 2021 | 7.82 Mn |
J&J Snack Foods Change in Receivables 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=change-in-receivables&ticker=JJSF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-receivables", "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=change-in-receivables&ticker=JJSF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();