Bridgford Foods (BRID) Non-Current Assets (2010 - 2026)
Bridgford Foods' Non-Current Assets came in at $80.76 million for fiscal Q3 2026 (quarter ended Jul 10, 2026), up 2.1% from $79.1 million a year earlier but down 0.7% from the prior quarter.
Bridgford Foods (BRID) Non-Current Assets (2010 - 2026) Analysis & Trends
At the end of FY2025 (ended Oct 31, 2025), Bridgford Foods' Non-Current Assets was $83.6 million, up 5.3% from FY2024.
- Non-Current Assets carries a five-year compound annual growth rate of -0.7% (FY2020 to FY2025).
- Going back by fiscal year, Non-Current Assets was $79.37 million in FY2024 (-0.2%), $79.52 million in FY2023 (-4.7%), $83.42 million in FY2022 (-3.6%) and $86.53 million in FY2021 (unchanged).
- The five-year range for quarterly Non-Current Assets is $76.8 million (fiscal Q2 2025) to $86.53 million (fiscal Q4 2021).
- Year-over-year, Non-Current Assets has increased for four consecutive quarters, with growth averaging 1.3% over the last eight quarters.
- The fastest year-over-year change in Non-Current Assets over five years came in fiscal Q2 2026 (growth of 5.9%), and the weakest in fiscal Q3 2022 (a decline of 11.5%).
- Business Quant data shows BRID's Non-Current Assets at $81.31 million (Q2 2026), $82.11 million (Q1 2026) and $83.6 million (Q4 2025) in the three fiscal quarters before Q3 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 140.61 Bn | 92.06 Bn | - | 63.44 Bn |
| 2 | Mondelez International | 80.56 Bn | 73.83 Bn | 3.99 Bn | 58.31 Bn |
| 3 | Hershey | 33.97 Bn | 30.22 Bn | 1.26 Bn | 10.02 Bn |
| 4 | Kraft Heinz | 27.90 Bn | 14.32 Bn | 2.03 Bn | 63.81 Bn |
| 5 | General Mills | 17.49 Bn | 15.13 Bn | 1.49 Bn | 25.39 Bn |
| 6 | J M Smucker | 13.63 Bn | 13.41 Bn | 979.60 Mn | 14.21 Bn |
| 7 | Mccormick | 12.49 Bn | 11.55 Bn | 794.90 Mn | 13.75 Bn |
| 8 | Hormel Foods | 11.23 Bn | 7.90 Bn | 471.52 Mn | 9.77 Bn |
| 9 | Chewy | 8.65 Bn | 5.94 Bn | 1.01 Bn | 1.90 Bn |
| 10 | Bridgford Foods | 50.83 Mn | 43.98 Mn | 10.86 Mn | 80.76 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 10, 2026 | 80.76 Mn |
| Apr 17, 2026 | 81.31 Mn |
| Jan 23, 2026 | 82.11 Mn |
| Oct 31, 2025 | 83.60 Mn |
| Jul 11, 2025 | 79.10 Mn |
| Apr 18, 2025 | 76.80 Mn |
| Jan 24, 2025 | 78.87 Mn |
| Nov 1, 2024 | 79.37 Mn |
| Jul 12, 2024 | 80.09 Mn |
| Apr 19, 2024 | 79.34 Mn |
| Jan 26, 2024 | 80.74 Mn |
| Nov 3, 2023 | 79.52 Mn |
| Jul 7, 2023 | 81.72 Mn |
| Apr 14, 2023 | 81.60 Mn |
| Jan 20, 2023 | 82.34 Mn |
| Oct 28, 2022 | 83.42 Mn |
| Jul 8, 2022 | 80.69 Mn |
| Apr 15, 2022 | 83.00 Mn |
| Jan 21, 2022 | 84.36 Mn |
| Oct 29, 2021 | 86.53 Mn |
Bridgford Foods Non-Current Assets 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=non-current-assets&ticker=BRID&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-assets", "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=non-current-assets&ticker=BRID&period=max&api_key=YOUR_API_KEY");
const data = await res.json();