Hormel Foods (HRL) Cash & Equivalents (2009 - 2026)
Hormel Foods (HRL) posted Cash & Equivalents of $839.64 million for fiscal Q3 2026 (quarter ended Jul 26, 2026), up 40.1% from $599.19 million a year earlier and up 1.6% from the prior quarter.
Hormel Foods (HRL) Cash & Equivalents (2009 - 2026) Analysis & Trends
At the end of FY2025 (ended Oct 26, 2025), Hormel Foods' Cash & Equivalents came in at $670.68 million, down 9.6% from FY2024.
- Annual Cash & Equivalents shows a five-year compound annual growth rate of -17.1% (FY2020 to FY2025).
- In prior fiscal years, Hormel Foods' Cash & Equivalents was $741.88 million in FY2024 (+0.7%), $736.53 million in FY2023 (-25.0%), $982.11 million in FY2022 (+60.1%) and $613.53 million in FY2021 (-64.2%).
- Quarterly Cash & Equivalents has run from a low of $537.48 million in fiscal Q3 2024 to a high of $1.49 billion in fiscal Q2 2024 over five years.
- On a year-over-year basis, Cash & Equivalents has increased in each of the last three quarters, with growth averaging 0.2% over the last eight quarters.
- The strongest year-over-year quarter for Cash & Equivalents in the past five years was fiscal Q3 2022, with growth of 191.9%; the weakest was fiscal Q4 2021, with a decline of 64.2%.
- According to Business Quant data, Cash & Equivalents for the three prior fiscal quarters was $826.75 million (Q2 2026), $867.91 million (Q1 2026) and $670.68 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 130.23 Bn | 105.59 Bn | - | 5.49 Bn |
| 2 | Mondelez International | 74.27 Bn | 67.59 Bn | 3.99 Bn | 1.72 Bn |
| 3 | Hershey | 32.39 Bn | 28.63 Bn | 1.26 Bn | 791.21 Mn |
| 4 | Kraft Heinz | 26.34 Bn | 12.87 Bn | 2.03 Bn | 2.42 Bn |
| 5 | General Mills | 17.12 Bn | 14.77 Bn | 1.49 Bn | 433.10 Mn |
| 6 | J M Smucker | 12.52 Bn | 12.30 Bn | 979.60 Mn | 43.20 Mn |
| 7 | Mccormick | 12.03 Bn | 11.67 Bn | 794.90 Mn | 331.10 Mn |
| 8 | Hormel Foods | 11.14 Bn | 7.83 Bn | 471.52 Mn | 839.64 Mn |
| 9 | Chewy | 7.29 Bn | 4.58 Bn | 1.01 Bn | 611.00 Mn |
| 10 | Conagra Brands | 6.38 Bn | 5.69 Bn | 618.70 Mn | 371.60 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 26, 2026 | 839.64 Mn |
| Apr 26, 2026 | 826.75 Mn |
| Jan 25, 2026 | 867.91 Mn |
| Oct 26, 2025 | 670.68 Mn |
| Jul 27, 2025 | 599.19 Mn |
| Apr 27, 2025 | 669.69 Mn |
| Jan 26, 2025 | 840.40 Mn |
| Oct 27, 2024 | 741.88 Mn |
| Jul 28, 2024 | 537.48 Mn |
| Apr 28, 2024 | 1.49 Bn |
| Jan 28, 2024 | 963.21 Mn |
| Oct 29, 2023 | 736.53 Mn |
| Jul 30, 2023 | 669.12 Mn |
| Apr 30, 2023 | 580.50 Mn |
| Jan 29, 2023 | 599.79 Mn |
| Oct 30, 2022 | 982.11 Mn |
| Jul 31, 2022 | 850.34 Mn |
| May 1, 2022 | 861.72 Mn |
| Jan 30, 2022 | 824.43 Mn |
| Oct 31, 2021 | 613.53 Mn |
Hormel Foods Cash & Equivalents 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=cash-and-equivalents&ticker=HRL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=HRL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();