Hormel Foods (HRL) Total Current Liabilities (2009 - 2026)
Hormel Foods' Total Current Liabilities was $1.87 billion in fiscal Q3 2026 (quarter ended Jul 26, 2026), up 39.3% from $1.35 billion a year earlier and up 3.9% from the prior quarter.
Hormel Foods (HRL) Total Current Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025 (ended Oct 26, 2025), Total Current Liabilities at Hormel Foods came in at $1.38 billion, down 1.3% from FY2024.
- Total Current Liabilities shows a five-year compound annual growth rate of -1.7% (FY2020 to FY2025).
- In earlier fiscal years, Total Current Liabilities was $1.4 billion in FY2024 (-39.5%), $2.31 billion in FY2023 (+56.9%), $1.47 billion in FY2022 (+4.1%) and $1.42 billion in FY2021 (-5.9%).
- The fiscal Q3 2026 figure marks the highest quarterly Total Current Liabilities since fiscal Q2 2024.
- Compared with a year earlier, Total Current Liabilities was higher in three of the last eight quarters, with an average decline of 6.4%.
- The best year-over-year quarter for Total Current Liabilities over five years was fiscal Q2 2024 (growth of 76.6%); the worst was fiscal Q3 2024 (a decline of 43.6%).
- Per Business Quant data, HRL's Total Current Liabilities in the three fiscal quarters before Q3 2026 was $1.8 billion (Q2 2026), $1.27 billion (Q1 2026) and $1.38 billion (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 136.33 Bn | 111.70 Bn | - | 33.58 Bn |
| 2 | Mondelez International | 76.81 Bn | 70.13 Bn | 3.99 Bn | 21.59 Bn |
| 3 | Hershey | 33.25 Bn | 29.49 Bn | 1.26 Bn | 3.35 Bn |
| 4 | Kraft Heinz | 27.93 Bn | 14.46 Bn | 2.03 Bn | 8.72 Bn |
| 5 | General Mills | 17.97 Bn | 15.62 Bn | 1.49 Bn | 6.94 Bn |
| 6 | Mccormick | 13.05 Bn | 12.93 Bn | 778.20 Mn | 3.57 Bn |
| 7 | J M Smucker | 12.89 Bn | 12.67 Bn | 979.60 Mn | 2.29 Bn |
| 8 | Hormel Foods | 10.99 Bn | 7.67 Bn | 471.52 Mn | 1.87 Bn |
| 9 | Chewy | 7.48 Bn | 4.77 Bn | 1.01 Bn | 2.20 Bn |
| 10 | Conagra Brands | 6.78 Bn | 5.76 Bn | 704.10 Mn | 3.19 Bn |
Historic Data
| Date | Value |
|---|---|
| Jul 26, 2026 | 1.87 Bn |
| Apr 26, 2026 | 1.80 Bn |
| Jan 25, 2026 | 1.27 Bn |
| Oct 26, 2025 | 1.38 Bn |
| Jul 27, 2025 | 1.35 Bn |
| Apr 27, 2025 | 1.33 Bn |
| Jan 26, 2025 | 1.33 Bn |
| Oct 27, 2024 | 1.40 Bn |
| Jul 28, 2024 | 1.31 Bn |
| Apr 28, 2024 | 2.30 Bn |
| Jan 28, 2024 | 2.26 Bn |
| Oct 29, 2023 | 2.31 Bn |
| Jul 30, 2023 | 2.32 Bn |
| Apr 30, 2023 | 1.31 Bn |
| Jan 29, 2023 | 1.37 Bn |
| Oct 30, 2022 | 1.47 Bn |
| Jul 31, 2022 | 1.42 Bn |
| May 1, 2022 | 1.48 Bn |
| Jan 30, 2022 | 1.42 Bn |
| Oct 31, 2021 | 1.42 Bn |
Hormel Foods Total Current Liabilities 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=total-current-liabilities&ticker=HRL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-current-liabilities", "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=total-current-liabilities&ticker=HRL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();