Hershey (HSY) Property, Plant & Equipment (Net) (2009 - 2026)
Hershey's Property, Plant & Equipment (Net) came in at $3.48 billion for Q2 2026, up 1.0% from $3.44 billion a year earlier but down 0.4% from the prior quarter.
Hershey (HSY) Property, Plant & Equipment (Net) (2009 - 2026) Analysis & Trends
At the end of FY2025, Hershey's Property, Plant & Equipment (Net) was $3.53 billion, up 2.0% from FY2024.
- Property, Plant & Equipment (Net) has increased in each of the last eight years, with a five-year compound annual growth rate of 9.1% (FY2020 to FY2025).
- Going back by year, Property, Plant & Equipment (Net) was $3.46 billion in FY2024 (+4.5%), $3.31 billion in FY2023 (+19.5%), $2.77 billion in FY2022 (+7.1%) and $2.59 billion in FY2021 (+13.2%).
- The five-year range for quarterly Property, Plant & Equipment (Net) is $2.37 billion (Q3 2021) to $3.53 billion (Q4 2025).
- Year-over-year, Property, Plant & Equipment (Net) has increased for 29 consecutive quarters, with growth averaging 2.9% over the last eight quarters.
- The year-over-year growth in Property, Plant & Equipment (Net) has ranged between 1.0% (Q2 2026) and 20.3% (Q3 2023) over the last five years.
- Business Quant data shows HSY's Property, Plant & Equipment (Net) at $3.49 billion (Q1 2026), $3.53 billion (Q4 2025) and $3.43 billion (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Net) (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 130.23 Bn | 105.59 Bn | - | 10.88 Bn |
| 2 | Mondelez International | 74.27 Bn | 67.59 Bn | 3.99 Bn | 10.65 Bn |
| 3 | Hershey | 32.39 Bn | 28.63 Bn | 1.26 Bn | 3.48 Bn |
| 4 | Kraft Heinz | 26.34 Bn | 12.87 Bn | 2.03 Bn | 7.20 Bn |
| 5 | General Mills | 17.12 Bn | 14.77 Bn | 1.49 Bn | 3.38 Bn |
| 6 | J M Smucker | 12.52 Bn | 12.30 Bn | 979.60 Mn | 3.02 Bn |
| 7 | Mccormick | 12.03 Bn | 11.67 Bn | 794.90 Mn | 1.54 Bn |
| 8 | Hormel Foods | 11.14 Bn | 7.83 Bn | 471.52 Mn | 2.16 Bn |
| 9 | Chewy | 7.29 Bn | 4.58 Bn | 1.01 Bn | 624.80 Mn |
| 10 | Conagra Brands | 6.38 Bn | 5.69 Bn | 618.70 Mn | 2.82 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 3.48 Bn |
| Mar 29, 2026 | 3.49 Bn |
| Dec 31, 2025 | 3.53 Bn |
| Sep 28, 2025 | 3.43 Bn |
| Jun 29, 2025 | 3.44 Bn |
| Mar 30, 2025 | 3.44 Bn |
| Dec 31, 2024 | 3.46 Bn |
| Sep 29, 2024 | 3.39 Bn |
| Jun 30, 2024 | 3.37 Bn |
| Mar 31, 2024 | 3.33 Bn |
| Dec 31, 2023 | 3.31 Bn |
| Oct 1, 2023 | 3.16 Bn |
| Jul 2, 2023 | 3.01 Bn |
| Apr 2, 2023 | 2.82 Bn |
| Dec 31, 2022 | 2.77 Bn |
| Oct 2, 2022 | 2.62 Bn |
| Jul 3, 2022 | 2.59 Bn |
| Apr 3, 2022 | 2.59 Bn |
| Dec 31, 2021 | 2.59 Bn |
| Oct 3, 2021 | 2.37 Bn |
Hershey Property, Plant & Equipment (Net) 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=property-plant-and-equipment-net&ticker=HSY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "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=property-plant-and-equipment-net&ticker=HSY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();