J&J Snack Foods (JJSF) Intangibles (2010 - 2026)
J&J Snack Foods (JJSF) posted Intangibles of $105.92 million for fiscal Q3 2026 (quarter ended Jun 27, 2026), down 0.7% from $106.68 million a year earlier and unchanged from the prior quarter.
J&J Snack Foods (JJSF) Intangibles (2010 - 2026) Analysis & Trends
Since fiscal Q4 2010, J&J Snack Foods has reported Intangibles for 62 quarters.
- Annual Intangibles has declined for three consecutive fiscal years, though with a five-year compound annual growth rate of 5.3% (FY2020 to FY2025).
- In prior fiscal years, J&J Snack Foods' Intangibles was $109.7 million in FY2024 (-40.2%), $183.53 million in FY2023 (-4.3%), $191.73 million in FY2022 (+146.5%) and $77.78 million in FY2021 (-4.7%).
- Quarterly Intangibles has run from a low of $76.6 million in fiscal Q2 2022 to a high of $196.41 million in fiscal Q3 2022 over five years.
- On a year-over-year basis, Intangibles has declined in each of the last 13 quarters, with an average decline of 21.5% over the last eight quarters.
- The strongest year-over-year quarter for Intangibles in the past five years was fiscal Q4 2022, with growth of 146.5%; the weakest was fiscal Q3 2025, with a decline of 42.1%.
- According to Business Quant data, Intangibles for the three prior fiscal quarters was $105.92 million (Q2 2026), $105.92 million (Q1 2026) and $105.92 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Intangibles (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 145.91 Bn | 97.37 Bn | - | 20.06 Bn |
| 2 | Mondelez International | 83.36 Bn | 76.63 Bn | 3.99 Bn | 19.51 Bn |
| 3 | Hershey | 35.31 Bn | 31.55 Bn | 1.26 Bn | 2.43 Bn |
| 4 | Kraft Heinz | 29.47 Bn | 15.89 Bn | 2.03 Bn | 32.37 Bn |
| 5 | General Mills | 18.69 Bn | 16.33 Bn | 1.49 Bn | 6.71 Bn |
| 6 | J M Smucker | 14.14 Bn | 13.93 Bn | 979.60 Mn | 5.63 Bn |
| 7 | Mccormick | 12.98 Bn | 12.05 Bn | 794.90 Mn | 4.96 Bn |
| 8 | Hormel Foods | 11.65 Bn | 8.32 Bn | 471.52 Mn | 1.57 Bn |
| 9 | Chewy | 9.04 Bn | 6.33 Bn | 1.01 Bn | 149.70 Mn |
| 10 | J&J Snack Foods | 1.58 Bn | 1.29 Bn | 151.02 Mn | 105.92 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 105.92 Mn |
| Mar 28, 2026 | 105.92 Mn |
| Dec 27, 2025 | 105.92 Mn |
| Sep 27, 2025 | 105.92 Mn |
| Jun 28, 2025 | 106.68 Mn |
| Mar 29, 2025 | 108.69 Mn |
| Dec 28, 2024 | 109.19 Mn |
| Sep 28, 2024 | 109.70 Mn |
| Jun 29, 2024 | 184.20 Mn |
| Mar 30, 2024 | 180.30 Mn |
| Dec 30, 2023 | 181.91 Mn |
| Sep 30, 2023 | 183.53 Mn |
| Jun 24, 2023 | 186.67 Mn |
| Mar 25, 2023 | 188.35 Mn |
| Dec 24, 2022 | 190.03 Mn |
| Sep 24, 2022 | 191.73 Mn |
| Jun 25, 2022 | 196.41 Mn |
| Mar 26, 2022 | 76.60 Mn |
| Dec 25, 2021 | 77.19 Mn |
| Sep 25, 2021 | 77.78 Mn |
J&J Snack Foods Intangibles 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=intangibles&ticker=JJSF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "intangibles", "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=intangibles&ticker=JJSF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();