Hormel Foods (HRL) Long-Term Debt Repayments (2018 - 2026)
Hormel Foods' Long-Term Debt Repayments came in at $374.84 million for FY2019 (year ended Oct 27, 2019), compared with $160,000 in FY2018.
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Analysis
Hormel Foods (HRL) Long-Term Debt Repayments (2018 - 2026) Analysis & Trends
- Per Business Quant, earlier fiscal years put Long-Term Debt Repayments at $160,000 in FY2018.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 146.14 Bn | 97.60 Bn | - | - |
| 2 | Mondelez International | 83.54 Bn | 76.81 Bn | 3.99 Bn | 42.00 Mn |
| 3 | Hershey | 35.31 Bn | 31.55 Bn | 1.26 Bn | 1.51 Mn |
| 4 | Kraft Heinz | 29.68 Bn | 16.10 Bn | 2.03 Bn | - |
| 5 | General Mills | 18.77 Bn | 16.41 Bn | 1.49 Bn | - |
| 6 | J M Smucker | 14.17 Bn | 13.95 Bn | 979.60 Mn | - |
| 7 | Mccormick | 13.04 Bn | 12.11 Bn | 794.90 Mn | 2.30 Mn |
| 8 | Hormel Foods | 11.73 Bn | 8.39 Bn | 471.52 Mn | 1.77 Mn |
| 9 | Chewy | 9.07 Bn | 6.36 Bn | 1.01 Bn | 220.00 Mn |
| 10 | Lamb Weston Holdings | 7.59 Bn | 7.22 Bn | 266.50 Mn | 16.50 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 26, 2026 | 1.77 Mn |
| Apr 26, 2026 | 1.83 Mn |
| Jan 25, 2026 | 1.83 Mn |
| Oct 26, 2025 | 1.58 Mn |
| Jul 27, 2025 | 2.01 Mn |
| Apr 27, 2025 | 2.04 Mn |
| Jan 26, 2025 | 2.20 Mn |
| Oct 27, 2024 | 2.22 Mn |
| Jul 28, 2024 | 952.28 Mn |
| Apr 28, 2024 | 2.27 Mn |
| Jan 28, 2024 | 2.25 Mn |
| Oct 29, 2023 | 2.24 Mn |
| Jul 30, 2023 | 2.21 Mn |
| Apr 30, 2023 | 2.19 Mn |
| Jan 29, 2023 | 2.19 Mn |
| Oct 30, 2022 | 2.18 Mn |
| Jul 31, 2022 | 1.47 Mn |
| May 1, 2022 | 2.86 Mn |
| Jan 30, 2022 | 2.16 Mn |
| Oct 31, 2021 | 2.08 Mn |
API Access
Hormel Foods Long-Term Debt Repayments 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=long-term-debt-repayments&ticker=HRL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "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=long-term-debt-repayments&ticker=HRL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();