Bridgford Foods (BRID) Total Liabilities (2010 - 2026)
Bridgford Foods (BRID) posted Total Liabilities of $33.26 million for fiscal Q3 2026 (quarter ended Jul 10, 2026), up 6.6% from $31.2 million a year earlier but down 6.5% from the prior quarter.
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Analysis
Bridgford Foods (BRID) Total Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025 (ended Oct 31, 2025), Bridgford Foods' Total Liabilities came in at $31.67 million, up 8.4% from FY2024.
- Annual Total Liabilities shows a five-year compound annual growth rate of -17.7% (FY2020 to FY2025).
- In prior fiscal years, Bridgford Foods' Total Liabilities was $29.22 million in FY2024 (-22.0%), $37.46 million in FY2023 (-25.1%), $50.02 million in FY2022 (-38.9%) and $81.81 million in FY2021 (-2.6%).
- Quarterly Total Liabilities has run from a low of $26.35 million in fiscal Q1 2025 to a high of $86.23 million in fiscal Q2 2022 over five years.
- On a year-over-year basis, Total Liabilities has increased in each of the last four quarters, with an average decline of 4.5% over the last eight quarters.
- The strongest year-over-year quarter for Total Liabilities in the past five years was fiscal Q2 2026, with growth of 21.5%; the weakest was fiscal Q1 2023, with a decline of 50.8%.
- According to Business Quant data, Total Liabilities for the three prior fiscal quarters was $35.56 million (Q2 2026), $29.06 million (Q1 2026) and $31.67 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 140.41 Bn | 91.87 Bn | - | 69.38 Bn |
| 2 | Mondelez International | 80.23 Bn | 73.49 Bn | 3.99 Bn | 44.56 Bn |
| 3 | Hershey | 33.92 Bn | 30.16 Bn | 1.26 Bn | 9.41 Bn |
| 4 | Kraft Heinz | 27.82 Bn | 14.24 Bn | 2.03 Bn | 36.95 Bn |
| 5 | General Mills | 17.45 Bn | 15.10 Bn | 1.49 Bn | 22.81 Bn |
| 6 | J M Smucker | 13.59 Bn | 13.37 Bn | 979.60 Mn | 10.45 Bn |
| 7 | Mccormick | 12.48 Bn | 11.54 Bn | 794.90 Mn | 9.06 Bn |
| 8 | Hormel Foods | 11.21 Bn | 7.88 Bn | 471.52 Mn | 5.43 Bn |
| 9 | Chewy | 8.64 Bn | 5.93 Bn | 1.01 Bn | 3.37 Bn |
| 10 | Bridgford Foods | 50.83 Mn | 43.98 Mn | 10.86 Mn | 33.26 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 10, 2026 | 33.26 Mn |
| Apr 17, 2026 | 35.56 Mn |
| Jan 23, 2026 | 29.06 Mn |
| Oct 31, 2025 | 31.67 Mn |
| Jul 11, 2025 | 31.20 Mn |
| Apr 18, 2025 | 29.28 Mn |
| Jan 24, 2025 | 26.35 Mn |
| Nov 1, 2024 | 29.22 Mn |
| Jul 12, 2024 | 37.06 Mn |
| Apr 19, 2024 | 35.82 Mn |
| Jan 26, 2024 | 35.99 Mn |
| Nov 3, 2023 | 37.46 Mn |
| Jul 7, 2023 | 43.34 Mn |
| Apr 14, 2023 | 43.45 Mn |
| Jan 20, 2023 | 42.35 Mn |
| Oct 28, 2022 | 50.02 Mn |
| Jul 8, 2022 | 63.21 Mn |
| Apr 15, 2022 | 86.23 Mn |
| Jan 21, 2022 | 86.12 Mn |
| Oct 29, 2021 | 81.81 Mn |
API Access
Bridgford Foods Total Liabilities 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=total-liabilities&ticker=BRID&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=BRID&period=max&api_key=YOUR_API_KEY");
const data = await res.json();