J&J Snack Foods (JJSF) Buildings (2010 - 2026)
J&J Snack Foods (JJSF) posted Buildings of $128.41 million for fiscal Q3 2026 (quarter ended Jun 27, 2026), down 0.7% from $129.35 million a year earlier but up 1.1% from the prior quarter.
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Analysis
J&J Snack Foods (JJSF) Buildings (2010 - 2026) Analysis & Trends
At the end of FY2025 (ended Sep 27, 2025), J&J Snack Foods' Buildings came in at $127.02 million, up 3.3% from FY2024.
- Annual Buildings has increased for four consecutive fiscal years, with a five-year compound annual growth rate of 36.7% (FY2020 to FY2025).
- In prior fiscal years, J&J Snack Foods' Buildings was $122.92 million in FY2024 (+169.9%), $45.54 million in FY2023 (+33.0%), $34.23 million in FY2022 (+28.8%) and $26.58 million in FY2021 (unchanged).
- Quarterly Buildings has run from a low of $26.58 million in fiscal Q4 2021 to a high of $129.35 million in fiscal Q3 2025 over five years.
- On a year-over-year basis, Buildings increased in seven of the last eight quarters, with growth averaging 78.9%.
- The strongest year-over-year quarter for Buildings in the past five years was fiscal Q1 2025, with growth of 170.0%; the weakest was fiscal Q3 2023, with a decline of 1.5%.
- According to Business Quant data, Buildings for the three prior fiscal quarters was $127 million (Q2 2026), $128.06 million (Q1 2026) and $127.02 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (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 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 128.41 Mn |
| Mar 28, 2026 | 127.00 Mn |
| Dec 27, 2025 | 128.06 Mn |
| Sep 27, 2025 | 127.02 Mn |
| Jun 28, 2025 | 129.35 Mn |
| Mar 29, 2025 | 123.39 Mn |
| Dec 28, 2024 | 122.96 Mn |
| Sep 28, 2024 | 122.92 Mn |
| Jun 29, 2024 | 55.00 Mn |
| Mar 30, 2024 | 50.08 Mn |
| Dec 30, 2023 | 45.54 Mn |
| Sep 30, 2023 | 45.54 Mn |
| Jun 24, 2023 | 34.23 Mn |
| Mar 25, 2023 | 34.23 Mn |
| Dec 24, 2022 | 34.23 Mn |
| Sep 24, 2022 | 34.23 Mn |
| Jun 25, 2022 | 34.74 Mn |
| Mar 26, 2022 | 26.58 Mn |
| Dec 25, 2021 | 26.58 Mn |
| Sep 25, 2021 | 26.58 Mn |
API Access
J&J Snack Foods Buildings 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=buildings&ticker=JJSF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "buildings", "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=buildings&ticker=JJSF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();