Hormel Foods (HRL) Receivables (2009 - 2026)
Hormel Foods' Receivables was $733.46 million in fiscal Q3 2026 (quarter ended Jul 26, 2026), down 4.0% from $764.34 million a year earlier and down 3.5% from the prior quarter.
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Analysis
Hormel Foods (HRL) Receivables (2009 - 2026) Analysis & Trends
At the end of FY2025 (ended Oct 26, 2025), Receivables at Hormel Foods came in at $813.99 million, down 0.5% from FY2024.
- Receivables shows a five-year compound annual growth rate of 3.0% (FY2020 to FY2025).
- In earlier fiscal years, Receivables was $817.91 million in FY2024 (+0.1%), $817.39 million in FY2023 (-5.8%), $867.59 million in FY2022 (-3.1%) and $895.72 million in FY2021 (+27.5%).
- Quarterly Receivables has moved between $696.25 million (fiscal Q1 2026) and $895.72 million (fiscal Q4 2021) over five years.
- Compared with a year earlier, Receivables was higher in five of the last eight quarters, with an average decline of 0.3%.
- The best year-over-year quarter for Receivables over five years was fiscal Q4 2021 (growth of 27.5%); the worst was fiscal Q3 2022 (a decline of 10.4%).
- Per Business Quant data, HRL's Receivables in the three fiscal quarters before Q3 2026 was $760.07 million (Q2 2026), $696.25 million (Q1 2026) and $813.99 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 136.33 Bn | 111.70 Bn | - | 11.86 Bn |
| 2 | Mondelez International | 76.81 Bn | 70.13 Bn | 3.99 Bn | 5.01 Bn |
| 3 | Hershey | 33.25 Bn | 29.49 Bn | 1.26 Bn | 907.37 Mn |
| 4 | Kraft Heinz | 27.93 Bn | 14.46 Bn | 2.03 Bn | 2.29 Bn |
| 5 | General Mills | 17.97 Bn | 15.62 Bn | 1.49 Bn | 1.78 Bn |
| 6 | Mccormick | 13.05 Bn | 12.93 Bn | 778.20 Mn | 709.40 Mn |
| 7 | J M Smucker | 12.89 Bn | 12.67 Bn | 979.60 Mn | 615.70 Mn |
| 8 | Hormel Foods | 10.99 Bn | 7.67 Bn | 471.52 Mn | 733.46 Mn |
| 9 | Chewy | 7.48 Bn | 4.77 Bn | 1.01 Bn | 232.10 Mn |
| 10 | Conagra Brands | 6.78 Bn | 5.76 Bn | 704.10 Mn | 659.80 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 26, 2026 | 733.46 Mn |
| Apr 26, 2026 | 760.07 Mn |
| Jan 25, 2026 | 696.25 Mn |
| Oct 26, 2025 | 813.99 Mn |
| Jul 27, 2025 | 764.34 Mn |
| Apr 27, 2025 | 743.98 Mn |
| Jan 26, 2025 | 767.80 Mn |
| Oct 27, 2024 | 817.91 Mn |
| Jul 28, 2024 | 727.05 Mn |
| Apr 28, 2024 | 731.98 Mn |
| Jan 28, 2024 | 751.05 Mn |
| Oct 29, 2023 | 817.39 Mn |
| Jul 30, 2023 | 786.25 Mn |
| Apr 30, 2023 | 761.90 Mn |
| Jan 29, 2023 | 787.21 Mn |
| Oct 30, 2022 | 867.59 Mn |
| Jul 31, 2022 | 802.85 Mn |
| May 1, 2022 | 795.29 Mn |
| Jan 30, 2022 | 812.71 Mn |
| Oct 31, 2021 | 895.72 Mn |
API Access
Hormel Foods Receivables 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=receivables&ticker=HRL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "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=receivables&ticker=HRL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();