Mondelez International (MDLZ) Total Liabilities (2009 - 2026)
Mondelez International (MDLZ) posted Total Liabilities of $44.56 billion for Q2 2026, down 0.5% from $44.77 billion a year earlier and down 1.7% from the prior quarter.
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Analysis
Mondelez International (MDLZ) Total Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, Mondelez International's Total Liabilities came in at $45.6 billion, up 9.8% from FY2024.
- Annual Total Liabilities shows a five-year compound annual growth rate of 2.6% (FY2020 to FY2025).
- In prior years, Mondelez International's Total Liabilities was $41.54 billion in FY2024 (-3.5%), $43.03 billion in FY2023 (-2.7%), $44.24 billion in FY2022 (+14.1%) and $38.77 billion in FY2021 (-3.5%).
- The Q2 2026 figure stands as the lowest quarterly Total Liabilities since Q1 2025.
- On a year-over-year basis, Total Liabilities increased in four of the last eight quarters, with growth averaging 0.5%.
- The strongest year-over-year quarter for Total Liabilities in the past five years was Q4 2022, with growth of 14.1%; the weakest was Q1 2025, with a decline of 12.2%.
- According to Business Quant data, Total Liabilities for the three prior quarters was $45.32 billion (Q1 2026), $45.6 billion (Q4 2025) and $45.13 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 136.33 Bn | 111.70 Bn | - | 68.14 Bn |
| 2 | Mondelez International | 76.81 Bn | 70.13 Bn | 3.99 Bn | 44.56 Bn |
| 3 | Hershey | 33.25 Bn | 29.49 Bn | 1.26 Bn | 9.41 Bn |
| 4 | Kraft Heinz | 27.93 Bn | 14.46 Bn | 2.03 Bn | 36.95 Bn |
| 5 | General Mills | 17.97 Bn | 15.62 Bn | 1.49 Bn | 22.81 Bn |
| 6 | Mccormick | 13.05 Bn | 12.93 Bn | 778.20 Mn | 8.90 Bn |
| 7 | J M Smucker | 12.89 Bn | 12.67 Bn | 979.60 Mn | 10.45 Bn |
| 8 | Hormel Foods | 10.99 Bn | 7.67 Bn | 471.52 Mn | 5.43 Bn |
| 9 | Chewy | 7.48 Bn | 4.77 Bn | 1.01 Bn | 3.37 Bn |
| 10 | Conagra Brands | 6.78 Bn | 5.76 Bn | 704.10 Mn | 10.92 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 44.56 Bn |
| Mar 31, 2026 | 45.32 Bn |
| Dec 31, 2025 | 45.60 Bn |
| Sep 30, 2025 | 45.13 Bn |
| Jun 30, 2025 | 44.77 Bn |
| Mar 31, 2025 | 43.10 Bn |
| Dec 31, 2024 | 41.54 Bn |
| Sep 30, 2024 | 44.30 Bn |
| Jun 30, 2024 | 45.38 Bn |
| Mar 31, 2024 | 49.11 Bn |
| Dec 31, 2023 | 43.03 Bn |
| Sep 30, 2023 | 42.30 Bn |
| Jun 30, 2023 | 43.35 Bn |
| Mar 31, 2023 | 44.51 Bn |
| Dec 31, 2022 | 44.24 Bn |
| Sep 30, 2022 | 41.37 Bn |
| Jun 30, 2022 | 38.46 Bn |
| Mar 31, 2022 | 39.78 Bn |
| Dec 31, 2021 | 38.77 Bn |
| Sep 30, 2021 | 39.56 Bn |
API Access
Mondelez International Total Liabilities 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=total-liabilities&ticker=MDLZ&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=MDLZ&period=max&api_key=YOUR_API_KEY");
const data = await res.json();