Hershey (HSY) Change in Accured Expenses (2013 - 2026)
Hershey's Change in Accured Expenses came in at $113.25 million for Q2 2026, up 140.7% from $47.04 million a year earlier and up 433.8% from the prior quarter.
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Analysis
Hershey (HSY) Change in Accured Expenses (2013 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 28, 2026, Hershey reported Change in Accured Expenses of -$84.72 million; for FY2025, it was $163.5 million, up 465.7% from FY2024.
- Change in Accured Expenses carries a five-year compound annual growth rate of 31.6% (FY2020 to FY2025).
- Going back by year, Change in Accured Expenses was $28.9 million in FY2024 (-42.5%), $50.23 million in FY2023 (-76.8%), $216.48 million in FY2022 (+444.8%) and $39.73 million in FY2021 (-4.2%).
- The Q2 2026 figure represents the highest quarterly Change in Accured Expenses since Q1 2025.
- Year-over-year, Change in Accured Expenses increased in 1 of the last five quarters, with an average decline of 10.6%.
- The fastest year-over-year change in Change in Accured Expenses over five years came in Q2 2026 (growth of 140.7%), and the weakest in Q1 2026 (a decline of 93.7%).
- Business Quant data shows HSY's Change in Accured Expenses at $21.22 million (Q1 2026), -$290.15 million (Q4 2025) and $70.96 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 130.23 Bn | 105.59 Bn | - | - |
| 2 | Mondelez International | 74.27 Bn | 67.59 Bn | 3.99 Bn | - |
| 3 | Hershey | 32.39 Bn | 28.63 Bn | 1.26 Bn | 113.25 Mn |
| 4 | Kraft Heinz | 26.34 Bn | 12.87 Bn | 2.03 Bn | - |
| 5 | General Mills | 17.12 Bn | 14.77 Bn | 1.49 Bn | - |
| 6 | J M Smucker | 12.52 Bn | 12.30 Bn | 979.60 Mn | -26.00 Mn |
| 7 | Mccormick | 12.03 Bn | 11.67 Bn | 794.90 Mn | - |
| 8 | Hormel Foods | 11.14 Bn | 7.83 Bn | 471.52 Mn | 22.60 Mn |
| 9 | Chewy | 7.29 Bn | 4.58 Bn | 1.01 Bn | -15.90 Mn |
| 10 | Conagra Brands | 6.38 Bn | 5.69 Bn | 618.70 Mn | -102.90 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 113.25 Mn |
| Mar 29, 2026 | 21.22 Mn |
| Dec 31, 2025 | -290.15 Mn |
| Sep 28, 2025 | 70.96 Mn |
| Jun 29, 2025 | 47.04 Mn |
| Mar 30, 2025 | 335.64 Mn |
| Dec 31, 2024 | -90.27 Mn |
| Sep 29, 2024 | 99.22 Mn |
| Jun 30, 2024 | 76.28 Mn |
| Mar 31, 2024 | -56.33 Mn |
| Dec 31, 2023 | -77.94 Mn |
| Oct 1, 2023 | 148.45 Mn |
| Jul 2, 2023 | -36.33 Mn |
| Apr 2, 2023 | 16.05 Mn |
| Dec 31, 2022 | -31.75 Mn |
| Oct 2, 2022 | 124.90 Mn |
| Jul 3, 2022 | 25.31 Mn |
| Apr 3, 2022 | 98.03 Mn |
| Dec 31, 2021 | -36.71 Mn |
| Oct 3, 2021 | 109.68 Mn |
API Access
Hershey Change in Accured 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=change-in-accured-expenses&ticker=HSY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-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=change-in-accured-expenses&ticker=HSY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();