Hormel Foods (HRL) Shares Outstanding (Diluted) (2009 - 2026)
Hormel Foods (HRL) posted Shares Outstanding (Diluted) of 551.07 million for fiscal Q3 2026 (quarter ended Jul 26, 2026), up 0.1% from 550.72 million a year earlier and unchanged from the prior quarter.
Hormel Foods (HRL) Shares Outstanding (Diluted) (2009 - 2026) Analysis & Trends
For FY2025 (ended Oct 26, 2025), Hormel Foods' Shares Outstanding (Diluted) came in at 550.5 million, up 0.3% from FY2024.
- Annual Shares Outstanding (Diluted) shows a five-year compound annual growth rate of 0.1% (FY2020 to FY2025).
- In prior fiscal years, Hormel Foods' Shares Outstanding (Diluted) was 548.83 million in FY2024 (unchanged), 548.98 million in FY2023 (-0.1%), 549.57 million in FY2022 (+0.4%) and 547.58 million in FY2021 (+0.2%).
- The fiscal Q3 2026 figure stands as the highest quarterly Shares Outstanding (Diluted) in data going back to fiscal Q3 2009.
- On a year-over-year basis, Shares Outstanding (Diluted) has increased in each of the last seven quarters, with growth averaging 0.2% over the last eight quarters.
- According to Business Quant data, Shares Outstanding (Diluted) for the three prior fiscal quarters was 550.92 million (Q2 2026), 550.71 million (Q1 2026) and 550.5 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 132.43 Bn | 107.80 Bn | - | 2.20 Bn |
| 2 | Mondelez International | 73.80 Bn | 67.12 Bn | 3.99 Bn | 1.29 Bn |
| 3 | Hershey | 31.86 Bn | 28.11 Bn | 1.26 Bn | 257.36 Mn |
| 4 | Kraft Heinz | 26.96 Bn | 13.49 Bn | 2.03 Bn | 1.19 Bn |
| 5 | General Mills | 17.20 Bn | 14.85 Bn | 1.49 Bn | 537.90 Mn |
| 6 | J M Smucker | 12.70 Bn | 12.49 Bn | 979.60 Mn | 107.10 Mn |
| 7 | Mccormick | 12.49 Bn | 12.36 Bn | 778.20 Mn | 269.20 Mn |
| 8 | Hormel Foods | 10.97 Bn | 7.66 Bn | 471.52 Mn | 551.07 Mn |
| 9 | Chewy | 7.31 Bn | 4.59 Bn | 1.01 Bn | 410.10 Mn |
| 10 | Conagra Brands | 6.43 Bn | 5.74 Bn | 618.70 Mn | 480.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 26, 2026 | 551.07 Mn |
| Apr 26, 2026 | 550.92 Mn |
| Jan 25, 2026 | 550.71 Mn |
| Oct 26, 2025 | 550.50 Mn |
| Jul 27, 2025 | 550.72 Mn |
| Apr 27, 2025 | 550.61 Mn |
| Jan 26, 2025 | 549.85 Mn |
| Oct 27, 2024 | 548.83 Mn |
| Jul 28, 2024 | 549.27 Mn |
| Apr 28, 2024 | 548.69 Mn |
| Jan 28, 2024 | 547.92 Mn |
| Oct 29, 2023 | 548.98 Mn |
| Jul 30, 2023 | 548.64 Mn |
| Apr 30, 2023 | 549.01 Mn |
| Jan 29, 2023 | 550.03 Mn |
| Oct 30, 2022 | 549.57 Mn |
| Jul 31, 2022 | 550.17 Mn |
| May 1, 2022 | 550.04 Mn |
| Jan 30, 2022 | 547.93 Mn |
| Oct 31, 2021 | 547.58 Mn |
Hormel Foods Shares Outstanding (Diluted) 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=shares-outstanding-diluted&ticker=HRL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "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=shares-outstanding-diluted&ticker=HRL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();