J&J Snack Foods (JJSF) Return on Assets [ROA] (2011 - 2026)
J&J Snack Foods (JJSF) posted Return on Assets [ROA] of 3.68% for fiscal Q3 2026 (quarter ended Jun 27, 2026), down 2.38 percentage points from 6.05% a year earlier and down 0.74 percentage points from the prior quarter.
J&J Snack Foods (JJSF) Return on Assets [ROA] (2011 - 2026) Analysis & Trends
For FY2025 (ended Sep 27, 2025), J&J Snack Foods' Return on Assets [ROA] came in at 4.78%, down 1.77 percentage points from FY2024.
- Annual Return on Assets [ROA] shows a five-year change of +3.01 percentage points (FY2020 to FY2025).
- In prior fiscal years, J&J Snack Foods' Return on Assets [ROA] was 6.55% in FY2024 (+0.22 pp), 6.33% in FY2023 (+2.29 pp), 4.04% in FY2022 (-1.07 pp) and 5.10% in FY2021 (+3.34 pp).
- The fiscal Q3 2026 figure stands as the lowest quarterly Return on Assets [ROA] since fiscal Q1 2023.
- On a year-over-year basis, Return on Assets [ROA] has declined in each of the last six quarters, with an average year-over-year change of -0.99 percentage points over the last eight quarters.
- The strongest year-over-year quarter for Return on Assets [ROA] in the past five years was fiscal Q1 2022, with a gain of 5.52 percentage points; the weakest was fiscal Q3 2026, with a drop of 2.38 percentage points.
- According to Business Quant data, Return on Assets [ROA] for the three prior fiscal quarters was 4.41% (Q2 2026), 4.55% (Q1 2026) and 4.69% (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROA (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 132.43 Bn | 107.80 Bn | - | - |
| 2 | Mondelez International | 73.80 Bn | 67.12 Bn | 3.99 Bn | 4.96% |
| 3 | Hershey | 31.86 Bn | 28.11 Bn | 1.26 Bn | 10.71% |
| 4 | Kraft Heinz | 26.96 Bn | 13.49 Bn | 2.03 Bn | -4.38% |
| 5 | General Mills | 17.20 Bn | 14.85 Bn | 1.49 Bn | -2.96% |
| 6 | J M Smucker | 12.70 Bn | 12.49 Bn | 979.60 Mn | 1.42% |
| 7 | Mccormick | 12.49 Bn | 12.36 Bn | 778.20 Mn | 9.75% |
| 8 | Hormel Foods | 10.97 Bn | 7.66 Bn | 471.52 Mn | 2.57% |
| 9 | Chewy | 7.31 Bn | 4.59 Bn | 1.01 Bn | 7.77% |
| 10 | J&J Snack Foods | 1.42 Bn | 1.13 Bn | 151.02 Mn | 3.68% |
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 3.68% |
| Mar 28, 2026 | 4.41% |
| Dec 27, 2025 | 4.55% |
| Sep 27, 2025 | 4.69% |
| Jun 28, 2025 | 6.05% |
| Mar 29, 2025 | 5.61% |
| Dec 28, 2024 | 6.23% |
| Sep 28, 2024 | 6.30% |
| Jun 29, 2024 | 6.43% |
| Mar 30, 2024 | 6.55% |
| Dec 30, 2023 | 6.19% |
| Sep 30, 2023 | 6.11% |
| Jun 24, 2023 | 5.20% |
| Mar 25, 2023 | 3.78% |
| Dec 24, 2022 | 3.50% |
| Sep 24, 2022 | 3.77% |
| Jun 25, 2022 | 4.04% |
| Mar 26, 2022 | 5.56% |
| Dec 25, 2021 | 5.81% |
| Sep 25, 2021 | 5.00% |
J&J Snack Foods Return on Assets [ROA] 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=return-on-assets-%5Broa%5D&ticker=JJSF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-assets-[roa]", "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=return-on-assets-%5Broa%5D&ticker=JJSF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();