Bridgford Foods (BRID) Operating Expenses (2012 - 2026)
Bridgford Foods (BRID) posted Operating Expenses of $14.19 million for fiscal Q3 2026 (quarter ended Jul 10, 2026), down 2.8% from $14.61 million a year earlier and down 3.1% from the prior quarter.
Bridgford Foods (BRID) Operating Expenses (2012 - 2026) Analysis & Trends
For the trailing twelve months through Jul 10, 2026, Operating Expenses at Bridgford Foods was $63.12 million, up 0.5% year-over-year; for FY2025 (ended Oct 31, 2025), it came in at $63.46 million, up 1.6% from FY2024.
- Annual Operating Expenses shows a five-year compound annual growth rate of 2.8% (FY2020 to FY2025).
- In prior fiscal years, Bridgford Foods' Operating Expenses was $62.45 million in FY2024 (-4.8%), $65.57 million in FY2023 (+0.5%), $65.24 million in FY2022 (+8.5%) and $60.13 million in FY2021 (+9.0%).
- The fiscal Q3 2026 figure stands as the lowest quarterly Operating Expenses since fiscal Q2 2024.
- On a year-over-year basis, Operating Expenses increased in four of the last eight quarters, with an average decline of 0.3%.
- The strongest year-over-year quarter for Operating Expenses in the past five years was fiscal Q2 2022, with growth of 17.6%; the weakest was fiscal Q2 2024, with a decline of 6.5%.
- According to Business Quant data, Operating Expenses for the three prior fiscal quarters was $14.65 million (Q2 2026), $14.62 million (Q1 2026) and $19.66 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 133.59 Bn | 108.95 Bn | - | - |
| 2 | Mondelez International | 75.71 Bn | 69.03 Bn | 3.99 Bn | 2.01 Bn |
| 3 | Hershey | 32.64 Bn | 28.88 Bn | 1.26 Bn | 628.91 Mn |
| 4 | Kraft Heinz | 27.82 Bn | 14.35 Bn | 2.03 Bn | 8.46 Bn |
| 5 | General Mills | 18.09 Bn | 15.75 Bn | 1.49 Bn | 853.60 Mn |
| 6 | Mccormick | 13.03 Bn | 12.90 Bn | 778.20 Mn | 441.80 Mn |
| 7 | J M Smucker | 12.89 Bn | 12.68 Bn | 979.60 Mn | 411.10 Mn |
| 8 | Hormel Foods | 10.92 Bn | 7.61 Bn | 471.52 Mn | 323.50 Mn |
| 9 | Chewy | 7.33 Bn | 4.62 Bn | 1.01 Bn | 919.20 Mn |
| 10 | Bridgford Foods | 51.56 Mn | 44.70 Mn | 10.86 Mn | 14.19 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 10, 2026 | 14.19 Mn |
| Apr 17, 2026 | 14.65 Mn |
| Jan 23, 2026 | 14.62 Mn |
| Oct 31, 2025 | 19.66 Mn |
| Jul 11, 2025 | 14.61 Mn |
| Apr 18, 2025 | 14.29 Mn |
| Jan 24, 2025 | 14.91 Mn |
| Nov 1, 2024 | 19.00 Mn |
| Jul 12, 2024 | 14.45 Mn |
| Apr 19, 2024 | 13.97 Mn |
| Jan 26, 2024 | 15.03 Mn |
| Nov 3, 2023 | 20.18 Mn |
| Jul 7, 2023 | 14.66 Mn |
| Apr 14, 2023 | 14.94 Mn |
| Jan 20, 2023 | 15.79 Mn |
| Oct 28, 2022 | 20.11 Mn |
| Jul 8, 2022 | 15.22 Mn |
| Apr 15, 2022 | 15.18 Mn |
| Jan 21, 2022 | 14.73 Mn |
| Oct 29, 2021 | 19.10 Mn |
Bridgford Foods 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=BRID&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "BRID", "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=BRID&period=max&api_key=YOUR_API_KEY");
const data = await res.json();