Hormel Foods (HRL) Land & Improvements (2009 - 2026)
Hormel Foods (HRL) posted Land & Improvements of $75.32 million for fiscal Q3 2026 (quarter ended Jul 26, 2026), up 0.4% from the prior quarter.
Powered by 
Analysis
Hormel Foods (HRL) Land & Improvements (2009 - 2026) Analysis & Trends
At the end of FY2025 (ended Oct 26, 2025), Hormel Foods' Land & Improvements came in at $74.71 million.
- The fiscal Q3 2026 figure stands as the highest quarterly Land & Improvements in data going back to fiscal Q4 2009.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Land & Improvements (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 129.94 Bn | 105.31 Bn | - | - |
| 2 | Mondelez International | 73.72 Bn | 67.04 Bn | 3.99 Bn | - |
| 3 | Hershey | 32.21 Bn | 28.45 Bn | 1.26 Bn | 195.99 Mn |
| 4 | Kraft Heinz | 26.65 Bn | 13.18 Bn | 2.03 Bn | - |
| 5 | General Mills | 16.93 Bn | 14.59 Bn | 1.49 Bn | - |
| 6 | J M Smucker | 12.38 Bn | 12.16 Bn | 979.60 Mn | 158.50 Mn |
| 7 | Mccormick | 11.89 Bn | 11.54 Bn | 794.90 Mn | - |
| 8 | Hormel Foods | 11.00 Bn | 7.68 Bn | 471.52 Mn | 75.32 Mn |
| 9 | Chewy | 7.12 Bn | 4.40 Bn | 1.01 Bn | - |
| 10 | Conagra Brands | 6.31 Bn | 5.62 Bn | 618.70 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 26, 2026 | 75.32 Mn |
| Apr 26, 2026 | 75.05 Mn |
| Oct 26, 2025 | 74.71 Mn |
| Oct 29, 2017 | 51.25 Mn |
| Jul 30, 2017 | 46.85 Mn |
| Apr 30, 2017 | 46.61 Mn |
| Jan 29, 2017 | 46.47 Mn |
| Oct 30, 2016 | 67.56 Mn |
| Jul 24, 2016 | 67.19 Mn |
| Apr 24, 2016 | 70.85 Mn |
| Jan 24, 2016 | 70.86 Mn |
| Oct 25, 2015 | 71.19 Mn |
| Jul 26, 2015 | 70.95 Mn |
| Apr 26, 2015 | 61.43 Mn |
| Jan 25, 2015 | 61.81 Mn |
| Oct 26, 2014 | 61.81 Mn |
| Jul 27, 2014 | 61.56 Mn |
| Oct 27, 2013 | 58.51 Mn |
| Jul 28, 2013 | 58.59 Mn |
| Jan 27, 2013 | 56.51 Mn |
API Access
Hormel Foods Land & Improvements 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=land-and-improvements&ticker=HRL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "land-and-improvements", "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=land-and-improvements&ticker=HRL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();