Mondelez International (MDLZ) Change in Acquisitions & Divestments (2024 - 2026)
Mondelez International (MDLZ) reported Change in Acquisitions & Divestments of -$1 million for Q3 2026, compared with $35 million a year earlier.
Mondelez International (MDLZ) Change in Acquisitions & Divestments (2024 - 2026) Analysis & Trends
Over the twelve months ended Sep 30, 2026, Mondelez International's Change in Acquisitions & Divestments came in at $32 million, down 11.1% year-over-year; for FY2025, it was $73 million.
- By year, Change in Acquisitions & Divestments came in at -$278 million in FY2024 and -$309 million in FY2023.
- The Q3 2026 figure ranks as the lowest quarterly Change in Acquisitions & Divestments since Q4 2024.
- Per Business Quant data, the three quarters before Q3 2026 came in at $9 million (Q2 2026), $16 million (Q1 2026) and $8 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Unilever | 144.95 Bn | 98.82 Bn | - |
| 2 | Mondelez International | 84.23 Bn | 77.29 Bn | 3.92 Bn |
| 3 | Hershey | 34.99 Bn | 31.72 Bn | 1.51 Bn |
| 4 | Kraft Heinz | 28.72 Bn | 16.47 Bn | 1.99 Bn |
| 5 | General Mills | 18.50 Bn | 16.16 Bn | 1.49 Bn |
| 6 | J M Smucker | 14.27 Bn | 14.05 Bn | 979.60 Mn |
| 7 | Mccormick | 12.58 Bn | 12.23 Bn | 794.90 Mn |
| 8 | Hormel Foods | 12.22 Bn | 8.90 Bn | 471.52 Mn |
| 9 | Chewy | 9.17 Bn | 6.46 Bn | 1.01 Bn |
| 10 | Lamb Weston Holdings | 7.87 Bn | 7.49 Bn | 266.50 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | -1.00 Mn |
| Jun 30, 2026 | 9.00 Mn |
| Mar 31, 2026 | 16.00 Mn |
| Dec 31, 2025 | 8.00 Mn |
| Sep 30, 2025 | 35.00 Mn |
| Jun 30, 2025 | 8.00 Mn |
| Mar 31, 2025 | 22.00 Mn |
| Dec 31, 2024 | -29.00 Mn |
| Sep 30, 2024 | -49.00 Mn |
| Jun 30, 2024 | -8.00 Mn |
| Mar 31, 2024 | -192.00 Mn |
Mondelez International Change in 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=change-in-acquisitions-and-divestments&ticker=MDLZ&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-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=change-in-acquisitions-and-divestments&ticker=MDLZ&period=max&api_key=YOUR_API_KEY");
const data = await res.json();