Hershey (HSY) Net Shares Issued and Repurchased (2009 - 2026)
Hershey (HSY) posted Net Shares Issued and Repurchased of $841,000 for Q3 2026, down 91.8% from $10.32 million a year earlier.
Hershey (HSY) Net Shares Issued and Repurchased (2009 - 2026) Analysis & Trends
For the trailing twelve months through Sep 27, 2026, Net Shares Issued and Repurchased at Hershey was -$418.42 million; for FY2025, it came in at $21.3 million.
- In prior years, Hershey's Net Shares Issued and Repurchased was -$479.53 million in FY2024, -$238.9 million in FY2023, -$354.81 million in FY2022 and -$408.13 million in FY2021.
- Quarterly Net Shares Issued and Repurchased has run from a low of -$490.09 million in Q1 2024 to a high of $10.32 million in Q4 2021 over five years.
- On a year-over-year basis, Net Shares Issued and Repurchased increased in three of the last four quarters, with growth averaging 89.2%.
- The strongest year-over-year quarter for Net Shares Issued and Repurchased in the past five years was Q4 2025, with growth of 360.5%; the weakest was Q3 2026, with a decline of 91.8%.
- According to Business Quant data, Net Shares Issued and Repurchased for the three prior quarters was -$369.03 million (Q2 2026), -$54.27 million (Q1 2026) and $4.04 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net Shares Issued (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 144.12 Bn | 95.58 Bn | - | - |
| 2 | Mondelez International | 84.19 Bn | 77.20 Bn | 3.92 Bn | -633.00 Mn |
| 3 | Hershey | 35.81 Bn | 32.54 Bn | 1.51 Bn | 841,000.00 |
| 4 | Kraft Heinz | 29.23 Bn | 16.88 Bn | 1.99 Bn | -52.00 Mn |
| 5 | General Mills | 19.05 Bn | 16.70 Bn | 1.49 Bn | - |
| 6 | J M Smucker | 13.93 Bn | 13.71 Bn | 979.60 Mn | -5.70 Mn |
| 7 | Mccormick | 13.03 Bn | 12.10 Bn | 794.90 Mn | 10.30 Mn |
| 8 | Hormel Foods | 12.08 Bn | 8.75 Bn | 471.52 Mn | - |
| 9 | Chewy | 9.17 Bn | 6.46 Bn | 1.01 Bn | -200.00 Mn |
| 10 | Lamb Weston Holdings | 7.60 Bn | 7.23 Bn | 266.50 Mn | -7.70 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 27, 2026 | 841,000.00 |
| Jun 28, 2026 | -369.03 Mn |
| Mar 29, 2026 | -54.27 Mn |
| Dec 31, 2025 | 4.04 Mn |
| Sep 28, 2025 | 10.32 Mn |
| Jun 29, 2025 | 4.20 Mn |
| Mar 30, 2025 | 2.74 Mn |
| Dec 31, 2024 | 877,000.00 |
| Sep 29, 2024 | 5.50 Mn |
| Jun 30, 2024 | 4.18 Mn |
| Mar 31, 2024 | -490.09 Mn |
| Dec 31, 2023 | -23.24 Mn |
| Oct 1, 2023 | 2.23 Mn |
| Jul 2, 2023 | 6.83 Mn |
| Apr 2, 2023 | -224.72 Mn |
| Dec 31, 2022 | -30.36 Mn |
| Oct 2, 2022 | 9.05 Mn |
| Jul 3, 2022 | -146.86 Mn |
| Apr 3, 2022 | -186.64 Mn |
| Dec 31, 2021 | 10.32 Mn |
Hershey Net Shares Issued and Repurchased 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=net-shares-issued-and-repurchased&ticker=HSY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "net-shares-issued-and-repurchased", "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=net-shares-issued-and-repurchased&ticker=HSY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();