Conagra Brands (CAG) Acquisitions (2009 - 2024)
Conagra Brands' Acquisitions was $230.6 million in FY2025 (year ended May 25, 2025).
Analysis
Conagra Brands (CAG) Acquisitions (2009 - 2024) Analysis & Trends
From FY2009 onward, Conagra Brands has reported Acquisitions for 11 fiscal years.
- The FY2025 figure marks the highest annual Acquisitions since FY2019.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Acquisitions (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 133.59 Bn | 108.95 Bn | - | - |
| 2 | Mondelez International | 75.71 Bn | 69.03 Bn | 3.99 Bn | - |
| 3 | Hershey | 32.64 Bn | 28.88 Bn | 1.26 Bn | - |
| 4 | Kraft Heinz | 27.82 Bn | 14.35 Bn | 2.03 Bn | - |
| 5 | General Mills | 18.09 Bn | 15.75 Bn | 1.49 Bn | - |
| 6 | Mccormick | 13.03 Bn | 12.90 Bn | 778.20 Mn | - |
| 7 | J M Smucker | 12.89 Bn | 12.68 Bn | 979.60 Mn | - |
| 8 | Hormel Foods | 10.92 Bn | 7.61 Bn | 471.52 Mn | - |
| 9 | Chewy | 7.33 Bn | 4.62 Bn | 1.01 Bn | 378.00 Mn |
| 10 | Conagra Brands | 6.75 Bn | 5.73 Bn | 704.10 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Nov 24, 2024 | 230.60 Mn |
| Feb 25, 2018 | 87.50 Mn |
| May 28, 2017 | 217.60 Mn |
| Feb 26, 2017 | -100,000.00 |
| May 31, 2015 | 21.00 Mn |
| Feb 22, 2015 | -700,000.00 |
| Aug 24, 2014 | 75.40 Mn |
| Feb 23, 2014 | 300,000.00 |
| Nov 24, 2013 | 39.60 Mn |
| May 26, 2013 | 1.10 Mn |
| Feb 24, 2013 | 4.75 Bn |
| Aug 26, 2012 | 268.60 Mn |
| May 27, 2012 | 328.60 Mn |
| Feb 26, 2012 | 249.10 Mn |
| Aug 28, 2011 | 57.50 Mn |
| May 29, 2011 | 100,000.00 |
| Feb 27, 2011 | -5.00 Mn |
| Nov 28, 2010 | 6.30 Mn |
| Aug 29, 2010 | 129.70 Mn |
| May 30, 2010 | 100.50 Mn |
API Access
Conagra Brands 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=CAG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "acquisitions", "ticker": "CAG", "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=CAG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();