Mondelez International (MDLZ) Enterprise Value (2009 - 2026)
Mondelez International's Enterprise Value came in at $72.16 billion for Q2 2026, down 15.9% from $85.81 billion a year earlier and down 0.5% from the prior quarter.
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Analysis
Mondelez International (MDLZ) Enterprise Value (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Mondelez International reported Enterprise Value of $67.14 billion, down 17.5% year-over-year; for FY2025, it was $66.93 billion, down 11.9% from FY2024.
- Enterprise Value carries a five-year compound annual growth rate of -16.2% (FY2020 to FY2025).
- Going back by year, Enterprise Value was $75.94 billion in FY2024 (-61.3%), $196.09 billion in FY2023 (+8.8%), $180.19 billion in FY2022 (-0.5%) and $181.07 billion in FY2021 (+11.5%).
- The five-year range for quarterly Enterprise Value is $66.93 billion (Q4 2025) to $197.81 billion (Q2 2023).
- Year-over-year, Enterprise Value has declined for nine consecutive quarters, with an average decline of 34.7% over the last eight quarters.
- The fastest year-over-year change in Enterprise Value over five years came in Q3 2023 (growth of 27.3%), and the weakest in Q4 2024 (a decline of 61.3%).
- Business Quant data shows MDLZ's Enterprise Value at $72.52 billion (Q1 2026), $66.93 billion (Q4 2025) and $79.29 billion (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (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 |
| 10 | Conagra Brands | 6.78 Bn | 5.76 Bn | 704.10 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 72.16 Bn |
| Mar 31, 2026 | 72.52 Bn |
| Dec 31, 2025 | 66.93 Bn |
| Sep 30, 2025 | 79.29 Bn |
| Jun 30, 2025 | 85.81 Bn |
| Mar 31, 2025 | 86.33 Bn |
| Dec 31, 2024 | 75.94 Bn |
| Sep 30, 2024 | 97.03 Bn |
| Jun 30, 2024 | 177.40 Bn |
| Mar 31, 2024 | 189.88 Bn |
| Dec 31, 2023 | 196.09 Bn |
| Sep 30, 2023 | 188.00 Bn |
| Jun 30, 2023 | 197.81 Bn |
| Mar 31, 2023 | 188.59 Bn |
| Dec 31, 2022 | 180.19 Bn |
| Sep 30, 2022 | 147.64 Bn |
| Jun 30, 2022 | 170.93 Bn |
| Mar 31, 2022 | 172.84 Bn |
| Dec 31, 2021 | 181.07 Bn |
| Sep 30, 2021 | 158.59 Bn |
API Access
Mondelez International Enterprise Value 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=enterprise-value&ticker=MDLZ&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "enterprise-value", "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=enterprise-value&ticker=MDLZ&period=max&api_key=YOUR_API_KEY");
const data = await res.json();