Sanfilippo John B & Son (JBSS) Operating Expenses (2010 - 2026)
Sanfilippo John B & Son's Operating Expenses came in at $31.73 million for fiscal Q4 2026 (quarter ended Jun 25, 2026), up 10.8% from $28.65 million a year earlier and up 5.8% from the prior quarter.
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Analysis
Sanfilippo John B & Son (JBSS) Operating Expenses (2010 - 2026) Analysis & Trends
For FY2026 (ended Jun 25, 2026), Sanfilippo John B & Son's Operating Expenses was $121.98 million, up 2.7% from FY2025.
- Operating Expenses carries a five-year compound annual growth rate of 4.1% (FY2021 to FY2026).
- Going back by fiscal year, Operating Expenses was $118.76 million in FY2025 (-7.9%), $128.95 million in FY2024 (+6.2%), $121.41 million in FY2023 (+8.2%) and $112.19 million in FY2022 (+12.4%).
- The five-year range for quarterly Operating Expenses is $21.99 million (fiscal Q3 2022) to $35.34 million (fiscal Q4 2024).
- Year-over-year, Operating Expenses has increased for three consecutive quarters, with an average decline of 2.3% over the last eight quarters.
- The fastest year-over-year change in Operating Expenses over five years came in fiscal Q2 2022 (growth of 35.9%), and the weakest in fiscal Q4 2025 (a decline of 19.0%).
- Business Quant data shows JBSS's Operating Expenses at $29.99 million (Q3 2026), $33.19 million (Q2 2026) and $27.08 million (Q1 2026) in the three fiscal quarters before Q4 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 145.25 Bn | 96.70 Bn | - | - |
| 2 | Mondelez International | 82.60 Bn | 75.87 Bn | 3.99 Bn | 2.01 Bn |
| 3 | Hershey | 35.39 Bn | 31.64 Bn | 1.26 Bn | 628.91 Mn |
| 4 | Kraft Heinz | 29.17 Bn | 15.59 Bn | 2.03 Bn | 8.46 Bn |
| 5 | General Mills | 18.49 Bn | 16.14 Bn | 1.49 Bn | 853.60 Mn |
| 6 | J M Smucker | 14.07 Bn | 13.85 Bn | 979.60 Mn | 411.10 Mn |
| 7 | Mccormick | 12.95 Bn | 12.01 Bn | 794.90 Mn | 436.40 Mn |
| 8 | Hormel Foods | 11.69 Bn | 8.36 Bn | 471.52 Mn | 323.50 Mn |
| 9 | Chewy | 9.04 Bn | 6.33 Bn | 1.01 Bn | 919.20 Mn |
| 10 | Sanfilippo John B & Son | 787.33 Mn | 781.78 Mn | 44.15 Mn | 31.73 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 25, 2026 | 31.73 Mn |
| Mar 26, 2026 | 29.99 Mn |
| Dec 25, 2025 | 33.19 Mn |
| Sep 25, 2025 | 27.08 Mn |
| Jun 26, 2025 | 28.65 Mn |
| Mar 27, 2025 | 27.70 Mn |
| Dec 26, 2024 | 32.88 Mn |
| Sep 26, 2024 | 29.54 Mn |
| Jun 27, 2024 | 35.34 Mn |
| Mar 28, 2024 | 30.83 Mn |
| Dec 28, 2023 | 30.34 Mn |
| Sep 28, 2023 | 32.45 Mn |
| Jun 29, 2023 | 33.19 Mn |
| Mar 30, 2023 | 27.95 Mn |
| Dec 29, 2022 | 32.04 Mn |
| Sep 29, 2022 | 28.23 Mn |
| Jun 30, 2022 | 31.77 Mn |
| Mar 24, 2022 | 21.99 Mn |
| Dec 23, 2021 | 33.97 Mn |
| Sep 23, 2021 | 24.47 Mn |
API Access
Sanfilippo John B & Son Operating Expenses 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=operating-expenses&ticker=JBSS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "JBSS", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=operating-expenses&ticker=JBSS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();