Hormel Foods (HRL) Interest Expenses (2009 - 2026)
Hormel Foods' Interest Expenses was $19.64 million in fiscal Q3 2026 (quarter ended Jul 26, 2026), up 0.9% from $19.46 million a year earlier but down 0.9% from the prior quarter.
Hormel Foods (HRL) Interest Expenses (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Hormel Foods' Interest Expenses was $78.79 million through Jul 26, 2026, up 1.2% year-over-year; for FY2025 (ended Oct 26, 2025), it came in at $78.04 million, down 3.5% from FY2024.
- Interest Expenses shows a five-year compound annual growth rate of 29.9% (FY2020 to FY2025).
- In earlier fiscal years, Interest Expenses was $80.89 million in FY2024 (+10.2%), $73.4 million in FY2023 (+17.4%), $62.52 million in FY2022 (+44.4%) and $43.31 million in FY2021 (+105.5%).
- Quarterly Interest Expenses has moved between $14.64 million (fiscal Q1 2022) and $21.68 million (fiscal Q2 2024) over five years.
- Compared with a year earlier, Interest Expenses has increased for four straight quarters, with an average decline of 0.3% over the last eight quarters.
- The best year-over-year quarter for Interest Expenses over five years was fiscal Q4 2021 (growth of 88.5%); the worst was fiscal Q2 2025 (a decline of 10.0%).
- Per Business Quant data, HRL's Interest Expenses in the three fiscal quarters before Q3 2026 was $19.82 million (Q2 2026), $19.73 million (Q1 2026) and $19.6 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Int Expense (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 | -31.00 Mn |
| 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 | 62.70 Mn |
| 8 | Hormel Foods | 10.97 Bn | 7.66 Bn | 471.52 Mn | 19.64 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
| Date | Value |
|---|---|
| Jul 26, 2026 | 19.64 Mn |
| Apr 26, 2026 | 19.82 Mn |
| Jan 25, 2026 | 19.73 Mn |
| Oct 26, 2025 | 19.60 Mn |
| Jul 27, 2025 | 19.46 Mn |
| Apr 27, 2025 | 19.52 Mn |
| Jan 26, 2025 | 19.46 Mn |
| Oct 27, 2024 | 19.43 Mn |
| Jul 28, 2024 | 21.46 Mn |
| Apr 28, 2024 | 21.68 Mn |
| Jan 28, 2024 | 18.33 Mn |
| Oct 29, 2023 | 18.36 Mn |
| Jul 30, 2023 | 18.37 Mn |
| Apr 30, 2023 | 18.32 Mn |
| Jan 29, 2023 | 18.35 Mn |
| Oct 30, 2022 | 17.60 Mn |
| Jul 31, 2022 | 15.62 Mn |
| May 1, 2022 | 14.66 Mn |
| Jan 30, 2022 | 14.64 Mn |
| Oct 31, 2021 | 15.59 Mn |
Hormel Foods Interest 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=interest-expenses&ticker=HRL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-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=interest-expenses&ticker=HRL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();