Hormel Foods (HRL) Enterprise Value (2009 - 2026)
Hormel Foods (HRL) recorded Enterprise Value of $13.08 billion in fiscal Q3 2026 (quarter ended Jul 26, 2026), down 15.4% from $15.46 billion a year earlier but up 18.7% from the prior quarter.
Hormel Foods (HRL) Enterprise Value (2009 - 2026) Analysis & Trends
On a TTM basis, Hormel Foods' Enterprise Value came in at $10.61 billion as of Jul 26, 2026, down 19.2% year-over-year; for FY2025 (ended Oct 26, 2025), it came in at $12.42 billion, down 23.8% from FY2024.
- Annual Enterprise Value has declined for three straight fiscal years, with a five-year compound annual growth rate of -13.1% (FY2020 to FY2025).
- Across earlier fiscal years, Enterprise Value came in at $16.3 billion in FY2024 (-0.7%), $16.42 billion in FY2023 (-33.4%), $24.67 billion in FY2022 (+10.5%) and $22.33 billion in FY2021 (-10.9%).
- Quarterly Enterprise Value has ranged from $11.01 billion in fiscal Q2 2026 to $27.73 billion in fiscal Q2 2022 over the past five years.
- On a year-over-year basis, Enterprise Value has declined for six consecutive quarters, with an average decline of 14.0% over the last eight quarters.
- Peak year-over-year performance for Enterprise Value in the last five years was growth of 17.2% in fiscal Q2 2022, against a decline of 33.4% in fiscal Q4 2023 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $11.01 billion (Q2 2026), $12.65 billion (Q1 2026) and $12.42 billion (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Unilever | 133.59 Bn | 108.95 Bn | - |
| 2 | Mondelez International | 75.71 Bn | 69.03 Bn | 3.99 Bn |
| 3 | Hershey | 32.64 Bn | 28.88 Bn | 1.26 Bn |
| 4 | Kraft Heinz | 27.82 Bn | 14.35 Bn | 2.03 Bn |
| 5 | General Mills | 18.09 Bn | 15.75 Bn | 1.49 Bn |
| 6 | Mccormick | 13.03 Bn | 12.90 Bn | 778.20 Mn |
| 7 | J M Smucker | 12.89 Bn | 12.68 Bn | 979.60 Mn |
| 8 | Hormel Foods | 10.92 Bn | 7.61 Bn | 471.52 Mn |
| 9 | Chewy | 7.33 Bn | 4.62 Bn | 1.01 Bn |
| 10 | Conagra Brands | 6.75 Bn | 5.73 Bn | 704.10 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 26, 2026 | 13.08 Bn |
| Apr 26, 2026 | 11.01 Bn |
| Jan 25, 2026 | 12.65 Bn |
| Oct 26, 2025 | 12.42 Bn |
| Jul 27, 2025 | 15.46 Bn |
| Apr 27, 2025 | 15.64 Bn |
| Jan 26, 2025 | 16.12 Bn |
| Oct 27, 2024 | 16.30 Bn |
| Jul 28, 2024 | 17.00 Bn |
| Apr 28, 2024 | 17.87 Bn |
| Jan 28, 2024 | 16.00 Bn |
| Oct 29, 2023 | 16.42 Bn |
| Jul 30, 2023 | 21.75 Bn |
| Apr 30, 2023 | 21.50 Bn |
| Jan 29, 2023 | 23.92 Bn |
| Oct 30, 2022 | 24.67 Bn |
| Jul 31, 2022 | 26.09 Bn |
| May 1, 2022 | 27.73 Bn |
| Jan 30, 2022 | 24.90 Bn |
| Oct 31, 2021 | 22.33 Bn |
Hormel Foods Enterprise Value 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=enterprise-value&ticker=HRL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "enterprise-value", "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=enterprise-value&ticker=HRL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();