Hormel Foods (HRL) Change in Inventory (2009 - 2026)
Hormel Foods (HRL) recorded Change in Inventory of $57.43 million in fiscal Q3 2026 (quarter ended Jul 26, 2026), down 37.0% from $91.18 million a year earlier and down 49.8% from the prior quarter.
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Analysis
Hormel Foods (HRL) Change in Inventory (2009 - 2026) Analysis & Trends
On a TTM basis, Hormel Foods' Change in Inventory came in at $5.73 million as of Jul 26, 2026, down 96.9% year-over-year; for FY2025 (ended Oct 26, 2025), it was $172.27 million.
- Annual Change in Inventory has a five-year compound annual growth rate of 147.9% (FY2020 to FY2025).
- Across earlier fiscal years, Change in Inventory came in at -$95.28 million in FY2024, -$35.71 million in FY2023, $351.66 million in FY2022 (+142.2%) and $145.18 million in FY2021.
- Quarterly Change in Inventory has ranged from -$103.89 million in fiscal Q1 2024 to $211.51 million in fiscal Q2 2025 over the past five years.
- Peak year-over-year performance for Change in Inventory in the last five years was growth of 520.9% in fiscal Q2 2024, against a decline of 92.6% in fiscal Q2 2023 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $114.4 million (Q2 2026), -$91.29 million (Q1 2026) and -$74.81 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 139.34 Bn | 90.80 Bn | - | - |
| 2 | Mondelez International | 80.33 Bn | 73.60 Bn | 3.99 Bn | 330.00 Mn |
| 3 | Hershey | 33.19 Bn | 29.44 Bn | 1.26 Bn | 314.42 Mn |
| 4 | Kraft Heinz | 26.86 Bn | 13.28 Bn | 2.03 Bn | 33.00 Mn |
| 5 | General Mills | 17.22 Bn | 14.87 Bn | 1.49 Bn | 261.10 Mn |
| 6 | J M Smucker | 13.01 Bn | 12.79 Bn | 979.60 Mn | 61.10 Mn |
| 7 | Mccormick | 12.02 Bn | 11.09 Bn | 794.90 Mn | 38.30 Mn |
| 8 | Hormel Foods | 10.90 Bn | 7.56 Bn | 471.52 Mn | 57.43 Mn |
| 9 | Chewy | 8.45 Bn | 5.74 Bn | 1.01 Bn | -83.10 Mn |
| 10 | Lamb Weston Holdings | 7.28 Bn | 6.91 Bn | 266.50 Mn | -1.50 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 26, 2026 | 57.43 Mn |
| Apr 26, 2026 | 114.40 Mn |
| Jan 25, 2026 | -91.29 Mn |
| Oct 26, 2025 | -74.81 Mn |
| Jul 27, 2025 | 91.18 Mn |
| Apr 27, 2025 | 211.51 Mn |
| Jan 26, 2025 | -55.61 Mn |
| Oct 27, 2024 | -64.69 Mn |
| Jul 28, 2024 | -23.21 Mn |
| Apr 28, 2024 | 96.51 Mn |
| Jan 28, 2024 | -103.89 Mn |
| Oct 29, 2023 | -56.25 Mn |
| Jul 30, 2023 | -6.77 Mn |
| Apr 30, 2023 | 15.54 Mn |
| Jan 29, 2023 | 11.77 Mn |
| Oct 30, 2022 | 40.35 Mn |
| Jul 31, 2022 | 84.89 Mn |
| May 1, 2022 | 210.17 Mn |
| Jan 30, 2022 | 16.25 Mn |
| Oct 31, 2021 | -57.04 Mn |
API Access
Hormel Foods Change in Inventory 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=change-in-inventory&ticker=HRL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-inventory", "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=change-in-inventory&ticker=HRL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();