Hershey (HSY) Acquisitions (2009 - 2024)
Hershey (HSY) reported Acquisitions of $756.14 million for FY2025, up 901.5% from $75.5 million in FY2024.
Analysis
Hershey (HSY) Acquisitions (2009 - 2024) Analysis & Trends
Dating back to FY2009, Hershey's Acquisitions record includes 12 years.
- Acquisitions has a four-year compound annual growth rate of -17.1% (FY2021 to FY2025).
- The FY2025 figure ranks as the highest annual Acquisitions since FY2021.
- According to Business Quant data, Acquisitions came in at $75.5 million in FY2024 (-54.5%), $165.82 million in FY2023 and $1.6 billion in FY2021.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Acquisitions (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 | 378.00 Mn |
| 10 | Conagra Brands | 6.78 Bn | 5.76 Bn | 704.10 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2024 | 75.50 Mn |
| Dec 31, 2021 | 1.18 Bn |
| Oct 3, 2021 | 1.31 Mn |
| Dec 31, 2019 | 699,000.00 |
| Sep 29, 2019 | 401.46 Mn |
| Dec 31, 2018 | 423.00 Mn |
| Apr 1, 2018 | 915.46 Mn |
| Jul 3, 2016 | 249.61 Mn |
| Apr 3, 2016 | 35.76 Mn |
| Jul 5, 2015 | -298,000.00 |
| Apr 5, 2015 | 218.95 Mn |
| Dec 31, 2014 | 33.82 Mn |
| Sep 28, 2014 | 372.48 Mn |
| Mar 30, 2014 | -10.04 Mn |
| Apr 1, 2012 | 172.86 Mn |
| Apr 3, 2011 | 5.75 Mn |
| Apr 5, 2009 | 15.22 Mn |
API Access
Hershey Acquisitions 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=acquisitions&ticker=HSY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "acquisitions", "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=acquisitions&ticker=HSY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();