Hormel Foods (HRL) Accumulated Expenses (2009 - 2026)
Hormel Foods (HRL) posted Accumulated Expenses of $93.16 million for fiscal Q3 2026 (quarter ended Jul 26, 2026), up 57.8% from $59.04 million a year earlier and up 18.3% from the prior quarter.
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Analysis
Hormel Foods (HRL) Accumulated Expenses (2009 - 2026) Analysis & Trends
At the end of FY2025 (ended Oct 26, 2025), Hormel Foods' Accumulated Expenses came in at $55.77 million, down 16.0% from FY2024.
- Annual Accumulated Expenses shows a five-year compound annual growth rate of -1.2% (FY2020 to FY2025).
- In prior fiscal years, Hormel Foods' Accumulated Expenses was $66.38 million in FY2024 (+28.4%), $51.68 million in FY2023 (-12.1%), $58.8 million in FY2022 (+14.9%) and $51.19 million in FY2021 (-13.4%).
- The fiscal Q3 2026 figure stands as the highest quarterly Accumulated Expenses since fiscal Q3 2023.
- On a year-over-year basis, Accumulated Expenses increased in three of the last seven quarters, with growth averaging 10.3%.
- The strongest year-over-year quarter for Accumulated Expenses in the past five years was fiscal Q3 2026, with growth of 57.8%; the weakest was fiscal Q3 2024, with a decline of 37.4%.
- According to Business Quant data, Accumulated Expenses for the three prior fiscal quarters was $78.73 million (Q2 2026), $60.35 million (Q1 2026) and $55.77 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Unilever | 132.43 Bn | 107.80 Bn | - |
| 2 | Mondelez International | 73.80 Bn | 67.12 Bn | 3.99 Bn |
| 3 | Hershey | 31.86 Bn | 28.11 Bn | 1.26 Bn |
| 4 | Kraft Heinz | 26.96 Bn | 13.49 Bn | 2.03 Bn |
| 5 | General Mills | 17.20 Bn | 14.85 Bn | 1.49 Bn |
| 6 | J M Smucker | 12.70 Bn | 12.49 Bn | 979.60 Mn |
| 7 | Mccormick | 12.49 Bn | 12.36 Bn | 778.20 Mn |
| 8 | Hormel Foods | 10.97 Bn | 7.66 Bn | 471.52 Mn |
| 9 | Chewy | 7.31 Bn | 4.59 Bn | 1.01 Bn |
| 10 | Conagra Brands | 6.43 Bn | 5.74 Bn | 618.70 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 26, 2026 | 93.16 Mn |
| Apr 26, 2026 | 78.73 Mn |
| Jan 25, 2026 | 60.35 Mn |
| Oct 26, 2025 | 55.77 Mn |
| Jul 27, 2025 | 59.04 Mn |
| Apr 27, 2025 | 53.35 Mn |
| Jan 26, 2025 | 63.83 Mn |
| Oct 27, 2024 | 66.38 Mn |
| Jul 28, 2024 | 74.79 Mn |
| Apr 28, 2024 | 66.24 Mn |
| Oct 29, 2023 | 51.68 Mn |
| Jul 30, 2023 | 119.46 Mn |
| Oct 30, 2022 | 58.80 Mn |
| Oct 31, 2021 | 51.19 Mn |
| Jul 25, 2021 | 51.11 Mn |
| Apr 25, 2021 | 47.20 Mn |
| Jan 24, 2021 | 50.90 Mn |
| Oct 25, 2020 | 59.14 Mn |
| Jul 26, 2020 | 61.08 Mn |
| Apr 26, 2020 | 67.48 Mn |
API Access
Hormel Foods 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=accumulated-expenses&ticker=HRL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=accumulated-expenses&ticker=HRL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();