Hershey (HSY) Shares Outstanding (Diluted) (2009 - 2026)
Hershey (HSY) reported Shares Outstanding (Diluted) of 257.36 million for Q2 2026, down 0.2% from 257.8 million a year earlier and down 0.5% from the prior quarter.
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Analysis
Hershey (HSY) Shares Outstanding (Diluted) (2009 - 2026) Analysis & Trends
For FY2025, Hershey posted Shares Outstanding (Diluted) of 257.99 million, unchanged from FY2024.
- Shares Outstanding (Diluted) has a five-year compound annual growth rate of -0.9% (FY2020 to FY2025).
- By year, Shares Outstanding (Diluted) came in at 258.1 million in FY2024 (-1.0%), 260.79 million in FY2023 (-1.7%), 265.4 million in FY2022 (-1.1%) and 268.37 million in FY2021 (-0.6%).
- The Q2 2026 figure ranks as the lowest quarterly Shares Outstanding (Diluted) since Q3 2014.
- Year over year, Shares Outstanding (Diluted) gained in three of the last eight quarters, with an average decline of 0.3%.
- The high point for year-over-year Shares Outstanding (Diluted) in five years was Q1 2026 (growth of 0.3%); the low point was Q4 2023 (a decline of 1.7%).
- Per Business Quant data, the three quarters before Q2 2026 came in at 258.55 million (Q1 2026), 257.99 million (Q4 2025) and 258.11 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 129.94 Bn | 105.31 Bn | - | 2.20 Bn |
| 2 | Mondelez International | 73.72 Bn | 67.04 Bn | 3.99 Bn | 1.29 Bn |
| 3 | Hershey | 32.21 Bn | 28.45 Bn | 1.26 Bn | 257.36 Mn |
| 4 | Kraft Heinz | 26.65 Bn | 13.18 Bn | 2.03 Bn | 1.19 Bn |
| 5 | General Mills | 16.93 Bn | 14.59 Bn | 1.49 Bn | 537.90 Mn |
| 6 | J M Smucker | 12.38 Bn | 12.16 Bn | 979.60 Mn | 107.10 Mn |
| 7 | Mccormick | 11.89 Bn | 11.54 Bn | 794.90 Mn | 269.40 Mn |
| 8 | Hormel Foods | 11.00 Bn | 7.68 Bn | 471.52 Mn | 551.07 Mn |
| 9 | Chewy | 7.12 Bn | 4.40 Bn | 1.01 Bn | 410.10 Mn |
| 10 | Conagra Brands | 6.31 Bn | 5.62 Bn | 618.70 Mn | 480.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 257.36 Mn |
| Mar 29, 2026 | 258.55 Mn |
| Dec 31, 2025 | 257.99 Mn |
| Sep 28, 2025 | 258.11 Mn |
| Jun 29, 2025 | 257.80 Mn |
| Mar 30, 2025 | 257.76 Mn |
| Dec 31, 2024 | 258.10 Mn |
| Sep 29, 2024 | 257.64 Mn |
| Jun 30, 2024 | 257.62 Mn |
| Mar 31, 2024 | 259.49 Mn |
| Dec 31, 2023 | 260.79 Mn |
| Oct 1, 2023 | 260.10 Mn |
| Jul 2, 2023 | 260.98 Mn |
| Apr 2, 2023 | 262.95 Mn |
| Dec 31, 2022 | 265.40 Mn |
| Oct 2, 2022 | 264.39 Mn |
| Jul 3, 2022 | 265.56 Mn |
| Apr 3, 2022 | 266.88 Mn |
| Dec 31, 2021 | 268.37 Mn |
| Oct 3, 2021 | 268.04 Mn |
API Access
Hershey 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=HSY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "ticker": "HSY", "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=HSY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();