Hershey (HSY) Restructuring Costs (2009 - 2026)
Hershey (HSY) posted Restructuring Costs of $8.36 million for Q2 2026, down 44.8% from $15.14 million a year earlier and down 37.4% from the prior quarter.
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Analysis
Hershey (HSY) Restructuring Costs (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jun 28, 2026, Restructuring Costs at Hershey was $40.13 million, down 61.0% year-over-year; for FY2025, it was $59.4 million, down 49.5% from FY2024.
- Annual Restructuring Costs shows a five-year compound annual growth rate of 13.5% (FY2020 to FY2025).
- In prior years, Hershey's Restructuring Costs was $117.54 million in FY2024, $3.44 million in FY2023 (-22.1%), $4.42 million in FY2022 (-73.4%) and $16.6 million in FY2021 (-47.3%).
- Quarterly Restructuring Costs has run from a low of -$426,000 in Q3 2023 to a high of $49.13 million in Q3 2024 over five years.
- On a year-over-year basis, Restructuring Costs has declined in each of the last five quarters, with an average decline of 36.0% over the last six quarters.
- The strongest year-over-year quarter for Restructuring Costs in the past five years was Q1 2024, with growth of 609.5%; the weakest was Q4 2021, with a decline of 90.4%.
- According to Business Quant data, Restructuring Costs for the three prior quarters was $13.36 million (Q1 2026), $7.83 million (Q4 2025) and $10.58 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Unilever | 136.33 Bn | 111.70 Bn | - |
| 2 | Mondelez International | 76.81 Bn | 70.13 Bn | 3.99 Bn |
| 3 | Hershey | 33.25 Bn | 29.49 Bn | 1.26 Bn |
| 4 | Kraft Heinz | 27.93 Bn | 14.46 Bn | 2.03 Bn |
| 5 | General Mills | 17.97 Bn | 15.62 Bn | 1.49 Bn |
| 6 | Mccormick | 13.05 Bn | 12.93 Bn | 778.20 Mn |
| 7 | J M Smucker | 12.89 Bn | 12.67 Bn | 979.60 Mn |
| 8 | Hormel Foods | 10.99 Bn | 7.67 Bn | 471.52 Mn |
| 9 | Chewy | 7.48 Bn | 4.77 Bn | 1.01 Bn |
| 10 | Conagra Brands | 6.78 Bn | 5.76 Bn | 704.10 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 8.36 Mn |
| Mar 29, 2026 | 13.36 Mn |
| Dec 31, 2025 | 7.83 Mn |
| Sep 28, 2025 | 10.58 Mn |
| Jun 29, 2025 | 15.14 Mn |
| Mar 30, 2025 | 25.85 Mn |
| Dec 31, 2024 | 12.74 Mn |
| Sep 29, 2024 | 49.13 Mn |
| Jun 30, 2024 | 39.00 Mn |
| Mar 31, 2024 | 16.67 Mn |
| Oct 1, 2023 | -426,000.00 |
| Jul 2, 2023 | 1.52 Mn |
| Apr 2, 2023 | 2.35 Mn |
| Dec 31, 2022 | 2.04 Mn |
| Oct 2, 2022 | 393,000.00 |
| Jul 3, 2022 | 699,000.00 |
| Apr 3, 2022 | 1.28 Mn |
| Dec 31, 2021 | 2.81 Mn |
| Oct 3, 2021 | 3.40 Mn |
| Jul 4, 2021 | 3.47 Mn |
API Access
Hershey Restructuring Costs 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=restructuring-costs&ticker=HSY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "restructuring-costs", "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=restructuring-costs&ticker=HSY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();