Mondelez International (MDLZ) Gains from Sales and Divestitures (2009 - 2026)
Mondelez International's Gains from Sales and Divestitures was $1 million in Q1 2026.
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Analysis
Mondelez International (MDLZ) Gains from Sales and Divestitures (2009 - 2026) Analysis & Trends
For FY2019, Gains from Sales and Divestitures at Mondelez International came in at $44 million.
- Gains from Sales and Divestitures shows a four-year compound annual growth rate of -71.7% (FY2015 to FY2019).
- In earlier years, Gains from Sales and Divestitures was $9 million in FY2016 (-99.9%) and $6.82 billion in FY2015.
- The Q1 2026 figure marks the highest quarterly Gains from Sales and Divestitures since Q3 2019.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Unilever | 130.23 Bn | 105.59 Bn | - |
| 2 | Mondelez International | 74.27 Bn | 67.59 Bn | 3.99 Bn |
| 3 | Hershey | 32.39 Bn | 28.63 Bn | 1.26 Bn |
| 4 | Kraft Heinz | 26.34 Bn | 12.87 Bn | 2.03 Bn |
| 5 | General Mills | 17.12 Bn | 14.77 Bn | 1.49 Bn |
| 6 | J M Smucker | 12.52 Bn | 12.30 Bn | 979.60 Mn |
| 7 | Mccormick | 12.03 Bn | 11.67 Bn | 794.90 Mn |
| 8 | Hormel Foods | 11.14 Bn | 7.83 Bn | 471.52 Mn |
| 9 | Chewy | 7.29 Bn | 4.58 Bn | 1.01 Bn |
| 10 | Conagra Brands | 6.38 Bn | 5.69 Bn | 618.70 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 1.00 Mn |
| Sep 30, 2019 | 3.00 Mn |
| Jun 30, 2019 | 41.00 Mn |
| Sep 30, 2017 | 187.00 Mn |
| Jun 30, 2017 | -3.00 Mn |
| Dec 31, 2015 | 313.00 Mn |
| Sep 30, 2015 | -7.12 Bn |
| Jun 30, 2015 | -13.00 Mn |
| Dec 31, 2010 | -6.00 Mn |
| Dec 31, 2009 | 11.00 Mn |
| Jun 30, 2009 | -17.00 Mn |
API Access
Mondelez International Gains from Sales and Divestitures 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=gains-from-sales-and-divestitures&ticker=MDLZ&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "gains-from-sales-and-divestitures", "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=gains-from-sales-and-divestitures&ticker=MDLZ&period=max&api_key=YOUR_API_KEY");
const data = await res.json();