Hormel Foods (HRL) Other Accumulated Expenses (2009 - 2026)
Hormel Foods' Other Accumulated Expenses was $175.65 million in fiscal Q3 2026 (quarter ended Jul 26, 2026), up 0.7% from $174.36 million a year earlier but down 3.6% from the prior quarter.
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Analysis
Hormel Foods (HRL) Other Accumulated Expenses (2009 - 2026) Analysis & Trends
At the end of FY2025 (ended Oct 26, 2025), Other Accumulated Expenses at Hormel Foods came in at $180.7 million, up 2.7% from FY2024.
- Other Accumulated Expenses has now increased for six consecutive fiscal years, with a five-year compound annual growth rate of 6.4% (FY2020 to FY2025).
- In earlier fiscal years, Other Accumulated Expenses was $175.94 million in FY2024 (+2.2%), $172.18 million in FY2023 (+5.0%), $163.96 million in FY2022 (+5.9%) and $154.8 million in FY2021 (+16.7%).
- Quarterly Other Accumulated Expenses has moved between $154.02 million (fiscal Q1 2022) and $182.25 million (fiscal Q2 2026) over five years.
- Compared with a year earlier, Other Accumulated Expenses has increased for 12 straight quarters, with growth averaging 2.1% over the last eight quarters.
- The best year-over-year quarter for Other Accumulated Expenses over five years was fiscal Q2 2022 (growth of 30.7%); the worst was fiscal Q3 2023 (a decline of 5.5%).
- Per Business Quant data, HRL's Other Accumulated Expenses in the three fiscal quarters before Q3 2026 was $182.25 million (Q2 2026), $175.87 million (Q1 2026) and $180.7 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Unilever | 130.23 Bn | 105.59 Bn | - |
| 2 | Mondelez International | 74.27 Bn | 67.59 Bn | 3.99 Bn |
| 3 | Hershey | 32.39 Bn | 28.63 Bn | 1.26 Bn |
| 4 | Kraft Heinz | 26.34 Bn | 12.87 Bn | 2.03 Bn |
| 5 | General Mills | 17.12 Bn | 14.77 Bn | 1.49 Bn |
| 6 | J M Smucker | 12.52 Bn | 12.30 Bn | 979.60 Mn |
| 7 | Mccormick | 12.03 Bn | 11.67 Bn | 794.90 Mn |
| 8 | Hormel Foods | 11.14 Bn | 7.83 Bn | 471.52 Mn |
| 9 | Chewy | 7.29 Bn | 4.58 Bn | 1.01 Bn |
| 10 | Conagra Brands | 6.38 Bn | 5.69 Bn | 618.70 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 26, 2026 | 175.65 Mn |
| Apr 26, 2026 | 182.25 Mn |
| Jan 25, 2026 | 175.87 Mn |
| Oct 26, 2025 | 180.70 Mn |
| Jul 27, 2025 | 174.36 Mn |
| Apr 27, 2025 | 180.56 Mn |
| Jan 26, 2025 | 173.89 Mn |
| Oct 27, 2024 | 175.94 Mn |
| Jul 28, 2024 | 171.08 Mn |
| Apr 28, 2024 | 179.77 Mn |
| Jan 28, 2024 | 162.45 Mn |
| Oct 29, 2023 | 172.18 Mn |
| Jul 30, 2023 | 158.34 Mn |
| Apr 30, 2023 | 172.20 Mn |
| Jan 29, 2023 | 158.38 Mn |
| Oct 30, 2022 | 163.96 Mn |
| Jul 31, 2022 | 167.53 Mn |
| May 1, 2022 | 181.78 Mn |
| Jan 30, 2022 | 154.02 Mn |
| Oct 31, 2021 | 154.80 Mn |
API Access
Hormel 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=HRL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-accumulated-expenses", "ticker": "HRL", "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=HRL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();