J&J Snack Foods (JJSF) Selling, General & Administrative (2010 - 2026)
J&J Snack Foods (JJSF) recorded Selling, General & Administrative of $20.07 million in fiscal Q3 2026 (quarter ended Jun 27, 2026), up 0.2% from $20.03 million a year earlier but down 5.3% from the prior quarter.
J&J Snack Foods (JJSF) Selling, General & Administrative (2010 - 2026) Analysis & Trends
On a TTM basis, J&J Snack Foods' Selling, General & Administrative came in at $80.73 million as of Jun 27, 2026, up 5.0% year-over-year; for FY2025 (ended Sep 27, 2025), it came in at $77.79 million, up 4.0% from FY2024.
- Annual Selling, General & Administrative has a five-year compound annual growth rate of 16.2% (FY2020 to FY2025).
- Across earlier fiscal years, Selling, General & Administrative came in at $74.77 million in FY2024 (-0.9%), $75.43 million in FY2023 (+36.7%), $55.19 million in FY2022 (+36.1%) and $40.54 million in FY2021 (+10.3%).
- Quarterly Selling, General & Administrative has ranged from $10.37 million in fiscal Q1 2022 to $22.38 million in fiscal Q4 2023 over the past five years.
- On a year-over-year basis, Selling, General & Administrative has increased for seven consecutive quarters, with growth averaging 1.6% over the last eight quarters.
- Peak year-over-year performance for Selling, General & Administrative in the last five years was growth of 58.1% in fiscal Q1 2023, against a decline of 18.8% in fiscal Q4 2024 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $21.18 million (Q2 2026), $20.38 million (Q1 2026) and $19.1 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 146.13 Bn | 97.59 Bn | - | - |
| 2 | Mondelez International | 83.52 Bn | 76.79 Bn | 3.99 Bn | 2.00 Bn |
| 3 | Hershey | 35.34 Bn | 31.58 Bn | 1.26 Bn | 620.55 Mn |
| 4 | Kraft Heinz | 29.67 Bn | 16.09 Bn | 2.03 Bn | 8.46 Bn |
| 5 | General Mills | 18.81 Bn | 16.45 Bn | 1.49 Bn | 832.20 Mn |
| 6 | J M Smucker | 14.20 Bn | 13.99 Bn | 979.60 Mn | 410.50 Mn |
| 7 | Mccormick | 13.07 Bn | 12.13 Bn | 794.90 Mn | 436.40 Mn |
| 8 | Hormel Foods | 11.74 Bn | 8.40 Bn | 471.52 Mn | 323.50 Mn |
| 9 | Chewy | 9.07 Bn | 6.36 Bn | 1.01 Bn | 704.40 Mn |
| 10 | J&J Snack Foods | 1.59 Bn | 1.29 Bn | 151.02 Mn | 20.07 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 20.07 Mn |
| Mar 28, 2026 | 21.18 Mn |
| Dec 27, 2025 | 20.38 Mn |
| Sep 27, 2025 | 19.10 Mn |
| Jun 28, 2025 | 20.03 Mn |
| Mar 29, 2025 | 19.75 Mn |
| Dec 28, 2024 | 18.90 Mn |
| Sep 28, 2024 | 18.17 Mn |
| Jun 29, 2024 | 19.88 Mn |
| Mar 30, 2024 | 18.52 Mn |
| Dec 30, 2023 | 18.20 Mn |
| Sep 30, 2023 | 22.38 Mn |
| Jun 24, 2023 | 18.74 Mn |
| Mar 25, 2023 | 17.92 Mn |
| Dec 24, 2022 | 16.39 Mn |
| Sep 24, 2022 | 17.38 Mn |
| Jun 25, 2022 | 15.72 Mn |
| Mar 26, 2022 | 11.72 Mn |
| Dec 25, 2021 | 10.37 Mn |
| Sep 25, 2021 | 11.53 Mn |
J&J Snack Foods Selling, General & Administrative 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=selling-general-and-administrative&ticker=JJSF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=JJSF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();