Bridgford Foods (BRID) Retained Earnings (2010 - 2026)
Bridgford Foods' Retained Earnings was $98.28 million in fiscal Q3 2026 (quarter ended Jul 10, 2026), down 12.9% from $112.8 million a year earlier and down 2.0% from the prior quarter.
Bridgford Foods (BRID) Retained Earnings (2010 - 2026) Analysis & Trends
At the end of FY2025 (ended Oct 31, 2025), Retained Earnings at Bridgford Foods came in at $106.05 million, down 11.2% from FY2024.
- Retained Earnings shows a five-year compound annual growth rate of 5.9% (FY2020 to FY2025).
- In earlier fiscal years, Retained Earnings was $119.41 million in FY2024 (-2.8%), $122.79 million in FY2023 (+2.9%), $119.32 million in FY2022 (+60.7%) and $74.25 million in FY2021 (-6.9%).
- The fiscal Q3 2026 figure marks the lowest quarterly Retained Earnings since fiscal Q2 2022.
- Compared with a year earlier, Retained Earnings has declined for nine straight quarters, with an average decline of 8.4% over the last eight quarters.
- The best year-over-year quarter for Retained Earnings over five years was fiscal Q1 2023 (growth of 61.3%); the worst was fiscal Q3 2026 (a decline of 12.9%).
- Per Business Quant data, BRID's Retained Earnings in the three fiscal quarters before Q3 2026 was $100.29 million (Q2 2026), $105.21 million (Q1 2026) and $106.05 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Retained Earnings (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 140.61 Bn | 92.06 Bn | - | - |
| 2 | Mondelez International | 80.56 Bn | 73.83 Bn | 3.99 Bn | 37.23 Bn |
| 3 | Hershey | 33.97 Bn | 30.22 Bn | 1.26 Bn | 5.81 Bn |
| 4 | Kraft Heinz | 27.90 Bn | 14.32 Bn | 2.03 Bn | -9.29 Bn |
| 5 | General Mills | 17.49 Bn | 15.13 Bn | 1.49 Bn | 20.58 Bn |
| 6 | J M Smucker | 13.63 Bn | 13.41 Bn | 979.60 Mn | 103.60 Mn |
| 7 | Mccormick | 12.49 Bn | 11.55 Bn | 794.90 Mn | 4.81 Bn |
| 8 | Hormel Foods | 11.23 Bn | 7.90 Bn | 471.52 Mn | 7.43 Bn |
| 9 | Chewy | 8.65 Bn | 5.94 Bn | 1.01 Bn | -1.18 Bn |
| 10 | Bridgford Foods | 50.83 Mn | 43.98 Mn | 10.86 Mn | 98.28 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 10, 2026 | 98.28 Mn |
| Apr 17, 2026 | 100.29 Mn |
| Jan 23, 2026 | 105.21 Mn |
| Oct 31, 2025 | 106.05 Mn |
| Jul 11, 2025 | 112.80 Mn |
| Apr 18, 2025 | 114.44 Mn |
| Jan 24, 2025 | 118.30 Mn |
| Nov 1, 2024 | 119.41 Mn |
| Jul 12, 2024 | 120.06 Mn |
| Apr 19, 2024 | 121.83 Mn |
| Jan 26, 2024 | 124.03 Mn |
| Nov 3, 2023 | 122.79 Mn |
| Jul 7, 2023 | 121.08 Mn |
| Apr 14, 2023 | 120.40 Mn |
| Jan 20, 2023 | 120.25 Mn |
| Oct 28, 2022 | 119.32 Mn |
| Jul 8, 2022 | 116.66 Mn |
| Apr 15, 2022 | 75.36 Mn |
| Jan 21, 2022 | 74.56 Mn |
| Oct 29, 2021 | 74.25 Mn |
Bridgford Foods Retained Earnings 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=retained-earnings&ticker=BRID&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "retained-earnings", "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=retained-earnings&ticker=BRID&period=max&api_key=YOUR_API_KEY");
const data = await res.json();