Hershey (HSY) Accumulated Expenses (2009 - 2026)
Hershey's Accumulated Expenses was $966.34 million in Q2 2026, up 10.3% from $875.97 million a year earlier and up 4.3% from the prior quarter.
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Analysis
Hershey (HSY) Accumulated Expenses (2009 - 2026) Analysis & Trends
At the end of FY2025, Accumulated Expenses at Hershey came in at $970.6 million, up 20.2% from FY2024.
- Accumulated Expenses shows a five-year compound annual growth rate of 4.4% (FY2020 to FY2025).
- In earlier years, Accumulated Expenses was $807.34 million in FY2024 (-7.0%), $867.82 million in FY2023 (+4.2%), $832.52 million in FY2022 (-2.7%) and $855.64 million in FY2021 (+9.4%).
- Quarterly Accumulated Expenses has moved between $736.69 million (Q2 2022) and $970.6 million (Q4 2025) over five years.
- Compared with a year earlier, Accumulated Expenses has increased for five straight quarters, with growth averaging 5.4% over the last eight quarters.
- The best year-over-year quarter for Accumulated Expenses over five years was Q4 2025 (growth of 20.2%); the worst was Q3 2024 (a decline of 16.7%).
- Per Business Quant data, HSY's Accumulated Expenses in the three quarters before Q2 2026 was $926.17 million (Q1 2026), $970.6 million (Q4 2025) and $952.33 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Unilever | 129.94 Bn | 105.31 Bn | - |
| 2 | Mondelez International | 73.72 Bn | 67.04 Bn | 3.99 Bn |
| 3 | Hershey | 32.21 Bn | 28.45 Bn | 1.26 Bn |
| 4 | Kraft Heinz | 26.65 Bn | 13.18 Bn | 2.03 Bn |
| 5 | General Mills | 16.93 Bn | 14.59 Bn | 1.49 Bn |
| 6 | J M Smucker | 12.38 Bn | 12.16 Bn | 979.60 Mn |
| 7 | Mccormick | 11.89 Bn | 11.54 Bn | 794.90 Mn |
| 8 | Hormel Foods | 11.00 Bn | 7.68 Bn | 471.52 Mn |
| 9 | Chewy | 7.12 Bn | 4.40 Bn | 1.01 Bn |
| 10 | Conagra Brands | 6.31 Bn | 5.62 Bn | 618.70 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 966.34 Mn |
| Mar 29, 2026 | 926.17 Mn |
| Dec 31, 2025 | 970.60 Mn |
| Sep 28, 2025 | 952.33 Mn |
| Jun 29, 2025 | 875.97 Mn |
| Mar 30, 2025 | 826.95 Mn |
| Dec 31, 2024 | 807.34 Mn |
| Sep 29, 2024 | 807.39 Mn |
| Jun 30, 2024 | 783.72 Mn |
| Mar 31, 2024 | 872.48 Mn |
| Dec 31, 2023 | 867.82 Mn |
| Oct 1, 2023 | 968.93 Mn |
| Jul 2, 2023 | 828.21 Mn |
| Apr 2, 2023 | 780.20 Mn |
| Dec 31, 2022 | 832.52 Mn |
| Oct 2, 2022 | 845.47 Mn |
| Jul 3, 2022 | 736.69 Mn |
| Apr 3, 2022 | 784.66 Mn |
| Dec 31, 2021 | 855.64 Mn |
| Oct 3, 2021 | 751.97 Mn |
API Access
Hershey Accumulated Expenses 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=accumulated-expenses&ticker=HSY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "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=accumulated-expenses&ticker=HSY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();