Mondelez International (MDLZ) Net of Acquisitions & Divestments (2009 - 2026)
Powered by 
Analysis
Mondelez International (MDLZ) Net of Acquisitions & Divestments (2009 - 2026) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net Acquisitions (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 139.34 Bn | 90.80 Bn | - | - |
| 2 | Mondelez International | 80.49 Bn | 73.76 Bn | 3.99 Bn | - |
| 3 | Hershey | 33.10 Bn | 29.34 Bn | 1.26 Bn | - |
| 4 | Kraft Heinz | 27.00 Bn | 13.42 Bn | 2.03 Bn | - |
| 5 | General Mills | 17.21 Bn | 14.85 Bn | 1.49 Bn | - |
| 6 | J M Smucker | 12.96 Bn | 12.74 Bn | 979.60 Mn | - |
| 7 | Mccormick | 12.08 Bn | 11.14 Bn | 794.90 Mn | - |
| 8 | Hormel Foods | 10.90 Bn | 7.56 Bn | 471.52 Mn | -2.98 Mn |
| 9 | Chewy | 8.19 Bn | 5.48 Bn | 1.01 Bn | -378.00 Mn |
| 10 | Lamb Weston Holdings | 7.30 Bn | 6.93 Bn | 266.50 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 1.00 Mn |
| Dec 31, 2025 | 123.00 Mn |
| Mar 31, 2025 | -11.00 Mn |
| Dec 31, 2024 | 2.05 Bn |
| Mar 31, 2024 | 4.00 Mn |
| Dec 31, 2023 | 1.37 Bn |
| Sep 30, 2023 | 767.00 Mn |
| Jun 30, 2023 | 944.00 Mn |
| Mar 31, 2023 | 1.04 Bn |
| Dec 31, 2022 | -1.31 Bn |
| Sep 30, 2022 | -2.57 Bn |
| Jun 30, 2022 | 545.00 Mn |
| Mar 31, 2022 | -1.35 Bn |
| Dec 31, 2021 | 41.00 Mn |
| Sep 30, 2021 | 500.00 Mn |
| Jun 30, 2021 | 655.00 Mn |
| Mar 31, 2021 | -490.00 Mn |
| Dec 31, 2020 | 1.14 Bn |
| Sep 30, 2020 | 777.00 Mn |
| Jun 30, 2020 | -747.00 Mn |
API Access
Mondelez International Net of Acquisitions & Divestments 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=net-of-acquisitions-and-divestments&ticker=MDLZ&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "net-of-acquisitions-and-divestments", "ticker": "MDLZ", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=net-of-acquisitions-and-divestments&ticker=MDLZ&period=max&api_key=YOUR_API_KEY");
const data = await res.json();