Hormel Foods (HRL) Finished Goods (2010 - 2026)
Hormel Foods (HRL) posted Finished Goods of $1.06 billion for fiscal Q3 2026 (quarter ended Jul 26, 2026).
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Analysis
Hormel Foods (HRL) Finished Goods (2010 - 2026) Analysis & Trends
Since fiscal Q4 2010, Hormel Foods has reported Finished Goods for 29 quarters.
- The fiscal Q3 2026 figure stands as the highest quarterly Finished Goods in data going back to fiscal Q4 2010.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (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 |
| 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 |
| 8 | Hormel Foods | 10.97 Bn | 7.66 Bn | 471.52 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
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 26, 2026 | 1.06 Bn |
| Oct 26, 2025 | 1.06 Bn |
| Oct 29, 2017 | 511.79 Mn |
| Jul 30, 2017 | 580.84 Mn |
| Apr 30, 2017 | 562.85 Mn |
| Jan 29, 2017 | 533.89 Mn |
| Oct 30, 2016 | 553.63 Mn |
| Jul 24, 2016 | 603.86 Mn |
| Apr 24, 2016 | 608.47 Mn |
| Jan 24, 2016 | 561.32 Mn |
| Oct 25, 2015 | 553.30 Mn |
| Jul 26, 2015 | 567.30 Mn |
| Apr 26, 2015 | 567.06 Mn |
| Jan 25, 2015 | 571.28 Mn |
| Oct 26, 2014 | 604.95 Mn |
| Jul 27, 2014 | 627.85 Mn |
| Apr 27, 2014 | 587.33 Mn |
| Jan 26, 2014 | 499.70 Mn |
| Oct 27, 2013 | 544.86 Mn |
| Jul 28, 2013 | 568.07 Mn |
API Access
Hormel Foods Finished Goods 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=finished-goods&ticker=HRL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "finished-goods", "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=finished-goods&ticker=HRL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();