Hormel Foods (HRL) Tax Provisions (2009 - 2026)
Hormel Foods (HRL) posted Tax Provisions of $43.64 million for fiscal Q3 2026 (quarter ended Jul 26, 2026), down 17.4% from $52.82 million a year earlier and down 10.4% from the prior quarter.
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Analysis
Hormel Foods (HRL) Tax Provisions (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jul 26, 2026, Tax Provisions at Hormel Foods was $179.44 million, down 15.0% year-over-year; for FY2025 (ended Oct 26, 2025), it was $185.68 million, down 19.5% from FY2024.
- Annual Tax Provisions shows a five-year compound annual growth rate of -2.1% (FY2020 to FY2025).
- In prior fiscal years, Hormel Foods' Tax Provisions was $230.8 million in FY2024 (+4.6%), $220.55 million in FY2023 (-20.6%), $277.88 million in FY2022 (+28.0%) and $217.03 million in FY2021 (+5.2%).
- Quarterly Tax Provisions has run from a low of $34.58 million in fiscal Q4 2025 to a high of $77.48 million in fiscal Q4 2022 over five years.
- On a year-over-year basis, Tax Provisions increased in three of the last eight quarters, with an average decline of 7.8%.
- The strongest year-over-year quarter for Tax Provisions in the past five years was fiscal Q3 2022, with growth of 161.4%; the weakest was fiscal Q4 2025, with a decline of 42.4%.
- According to Business Quant data, Tax Provisions for the three prior fiscal quarters was $48.69 million (Q2 2026), $52.54 million (Q1 2026) and $34.58 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Taxes (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 132.43 Bn | 107.80 Bn | - | - |
| 2 | Mondelez International | 73.80 Bn | 67.12 Bn | 3.99 Bn | 364.00 Mn |
| 3 | Hershey | 31.86 Bn | 28.11 Bn | 1.26 Bn | 130.62 Mn |
| 4 | Kraft Heinz | 26.96 Bn | 13.49 Bn | 2.03 Bn | -916.00 Mn |
| 5 | General Mills | 17.20 Bn | 14.85 Bn | 1.49 Bn | 122.80 Mn |
| 6 | J M Smucker | 12.70 Bn | 12.49 Bn | 979.60 Mn | 103.60 Mn |
| 7 | Mccormick | 12.49 Bn | 12.36 Bn | 778.20 Mn | 63.50 Mn |
| 8 | Hormel Foods | 10.97 Bn | 7.66 Bn | 471.52 Mn | 43.64 Mn |
| 9 | Chewy | 7.31 Bn | 4.59 Bn | 1.01 Bn | 31.40 Mn |
| 10 | Conagra Brands | 6.43 Bn | 5.74 Bn | 618.70 Mn | 58.60 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 26, 2026 | 43.64 Mn |
| Apr 26, 2026 | 48.69 Mn |
| Jan 25, 2026 | 52.54 Mn |
| Oct 26, 2025 | 34.58 Mn |
| Jul 27, 2025 | 52.82 Mn |
| Apr 27, 2025 | 50.75 Mn |
| Jan 26, 2025 | 47.54 Mn |
| Oct 27, 2024 | 60.07 Mn |
| Jul 28, 2024 | 48.98 Mn |
| Apr 28, 2024 | 54.93 Mn |
| Jan 28, 2024 | 66.82 Mn |
| Oct 29, 2023 | 50.32 Mn |
| Jul 30, 2023 | 45.06 Mn |
| Apr 30, 2023 | 61.62 Mn |
| Jan 29, 2023 | 63.55 Mn |
| Oct 30, 2022 | 77.48 Mn |
| Jul 31, 2022 | 71.01 Mn |
| May 1, 2022 | 60.19 Mn |
| Jan 30, 2022 | 69.19 Mn |
| Oct 31, 2021 | 70.48 Mn |
API Access
Hormel Foods Tax Provisions 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=tax-provisions&ticker=HRL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "tax-provisions", "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=tax-provisions&ticker=HRL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();