Bridgford Foods (BRID) Other Accumulated Expenses (2010 - 2026)
Bridgford Foods (BRID) posted Other Accumulated Expenses of $420,000 for fiscal Q3 2026 (quarter ended Jul 10, 2026), down 65.1% from $1.21 million a year earlier and down 1.4% from the prior quarter.
Bridgford Foods (BRID) Other Accumulated Expenses (2010 - 2026) Analysis & Trends
At the end of FY2025 (ended Oct 31, 2025), Bridgford Foods' Other Accumulated Expenses came in at $1.13 million, down 43.5% from FY2024.
- Annual Other Accumulated Expenses shows a five-year compound annual growth rate of -26.3% (FY2020 to FY2025).
- In prior fiscal years, Bridgford Foods' Other Accumulated Expenses was $2 million in FY2024 (+2.4%), $1.96 million in FY2023 (-34.3%), $2.98 million in FY2022 (-42.5%) and $5.18 million in FY2021 (-0.3%).
- The fiscal Q3 2026 figure stands as the lowest quarterly Other Accumulated Expenses in data going back to fiscal Q4 2010.
- On a year-over-year basis, Other Accumulated Expenses has declined in each of the last seven quarters, with an average decline of 42.7% over the last eight quarters.
- The strongest year-over-year quarter for Other Accumulated Expenses in the past five years was fiscal Q1 2024, with growth of 26.9%; the weakest was fiscal Q2 2023, with a decline of 76.1%.
- According to Business Quant data, Other Accumulated Expenses for the three prior fiscal quarters was $426,000 (Q2 2026), $432,000 (Q1 2026) and $1.13 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Unilever | 144.43 Bn | 98.30 Bn | - |
| 2 | Mondelez International | 81.43 Bn | 74.75 Bn | 3.99 Bn |
| 3 | Hershey | 34.30 Bn | 30.54 Bn | 1.26 Bn |
| 4 | Kraft Heinz | 29.39 Bn | 15.92 Bn | 2.03 Bn |
| 5 | General Mills | 18.37 Bn | 16.03 Bn | 1.49 Bn |
| 6 | J M Smucker | 13.89 Bn | 13.67 Bn | 979.60 Mn |
| 7 | Mccormick | 12.96 Bn | 12.61 Bn | 794.90 Mn |
| 8 | Hormel Foods | 11.58 Bn | 8.27 Bn | 471.52 Mn |
| 9 | Chewy | 8.80 Bn | 6.09 Bn | 1.01 Bn |
| 10 | Bridgford Foods | 49.92 Mn | 43.07 Mn | 10.86 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 10, 2026 | 420,000.00 |
| Apr 17, 2026 | 426,000.00 |
| Jan 23, 2026 | 432,000.00 |
| Oct 31, 2025 | 1.13 Mn |
| Jul 11, 2025 | 1.21 Mn |
| Apr 18, 2025 | 1.20 Mn |
| Jan 24, 2025 | 1.20 Mn |
| Nov 1, 2024 | 2.00 Mn |
| Jul 12, 2024 | 1.78 Mn |
| Apr 19, 2024 | 1.81 Mn |
| Jan 26, 2024 | 2.03 Mn |
| Nov 3, 2023 | 1.96 Mn |
| Jul 7, 2023 | 1.79 Mn |
| Apr 14, 2023 | 1.67 Mn |
| Jan 20, 2023 | 1.60 Mn |
| Oct 28, 2022 | 2.98 Mn |
| Jul 8, 2022 | 2.99 Mn |
| Apr 15, 2022 | 6.97 Mn |
| Jan 21, 2022 | 6.27 Mn |
| Oct 29, 2021 | 5.18 Mn |
Bridgford Foods Other Accumulated 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=other-accumulated-expenses&ticker=BRID&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-accumulated-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=other-accumulated-expenses&ticker=BRID&period=max&api_key=YOUR_API_KEY");
const data = await res.json();