Bridgford Foods (BRID) Inventory (2010 - 2026)
Bridgford Foods (BRID) reported Inventory of $35.97 million for fiscal Q3 2026 (quarter ended Jul 10, 2026), down 16.2% from $42.91 million a year earlier and down 6.7% from the prior quarter.
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Analysis
Bridgford Foods (BRID) Inventory (2010 - 2026) Analysis & Trends
At the end of FY2025 (ended Oct 31, 2025), Bridgford Foods posted Inventory of $37.07 million, up 11.2% from FY2024.
- Inventory has a five-year compound annual growth rate of 4.8% (FY2020 to FY2025).
- By fiscal year, Inventory came in at $33.34 million in FY2024 (-17.8%), $40.57 million in FY2023 (+0.1%), $40.53 million in FY2022 (+10.2%) and $36.77 million in FY2021 (+25.5%).
- Five-year quarterly Inventory spans a low of $32.61 million in fiscal Q1 2026 and a high of $43.71 million in fiscal Q3 2023.
- Year over year, Inventory has now declined in each of the last three quarters, with an average decline of 2.4% over the last eight quarters.
- The high point for year-over-year Inventory in five years was fiscal Q1 2022 (growth of 31.6%); the low point was fiscal Q3 2024 (a decline of 20.1%).
- Per Business Quant data, the three fiscal quarters before Q3 2026 came in at $38.54 million (Q2 2026), $32.61 million (Q1 2026) and $37.07 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 133.59 Bn | 108.95 Bn | - | 5.26 Bn |
| 2 | Mondelez International | 75.71 Bn | 69.03 Bn | 3.99 Bn | 4.41 Bn |
| 3 | Hershey | 32.64 Bn | 28.88 Bn | 1.26 Bn | 1.74 Bn |
| 4 | Kraft Heinz | 27.82 Bn | 14.35 Bn | 2.03 Bn | 3.31 Bn |
| 5 | General Mills | 18.09 Bn | 15.75 Bn | 1.49 Bn | 2.16 Bn |
| 6 | Mccormick | 13.03 Bn | 12.90 Bn | 778.20 Mn | - |
| 7 | J M Smucker | 12.89 Bn | 12.68 Bn | 979.60 Mn | 1.19 Bn |
| 8 | Hormel Foods | 10.92 Bn | 7.61 Bn | 471.52 Mn | 1.80 Bn |
| 9 | Chewy | 7.33 Bn | 4.62 Bn | 1.01 Bn | 924.70 Mn |
| 10 | Bridgford Foods | 51.56 Mn | 44.70 Mn | 10.86 Mn | 35.97 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 10, 2026 | 35.97 Mn |
| Apr 17, 2026 | 38.54 Mn |
| Jan 23, 2026 | 32.61 Mn |
| Oct 31, 2025 | 37.07 Mn |
| Jul 11, 2025 | 42.91 Mn |
| Apr 18, 2025 | 40.06 Mn |
| Jan 24, 2025 | 36.25 Mn |
| Nov 1, 2024 | 33.34 Mn |
| Jul 12, 2024 | 34.91 Mn |
| Apr 19, 2024 | 39.28 Mn |
| Jan 26, 2024 | 39.28 Mn |
| Nov 3, 2023 | 40.57 Mn |
| Jul 7, 2023 | 43.71 Mn |
| Apr 14, 2023 | 39.95 Mn |
| Jan 20, 2023 | 38.82 Mn |
| Oct 28, 2022 | 40.53 Mn |
| Jul 8, 2022 | 42.02 Mn |
| Apr 15, 2022 | 40.94 Mn |
| Jan 21, 2022 | 39.23 Mn |
| Oct 29, 2021 | 36.77 Mn |
API Access
Bridgford Foods Inventory 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=inventory&ticker=BRID&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "inventory", "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=inventory&ticker=BRID&period=max&api_key=YOUR_API_KEY");
const data = await res.json();