Mondelez International (MDLZ) Total Non-Current Liabilities (2009 - 2026)
Mondelez International (MDLZ) reported Total Non-Current Liabilities of $42.64 billion for Q2 2026, unchanged from $42.64 billion a year earlier and down 2.1% from the prior quarter.
Mondelez International (MDLZ) Total Non-Current Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, Mondelez International posted Total Non-Current Liabilities of $43.71 billion, up 10.0% from FY2024.
- Total Non-Current Liabilities has a five-year compound annual growth rate of 9.5% (FY2020 to FY2025).
- By year, Total Non-Current Liabilities came in at $39.75 billion in FY2024 (+429.2%), $7.51 billion in FY2023 (-71.8%), $26.67 billion in FY2022 (-2.0%) and $27.2 billion in FY2021 (-2.0%).
- Five-year quarterly Total Non-Current Liabilities spans a low of $7.51 billion in Q4 2023 and a high of $46.5 billion in Q1 2024.
- Year over year, Total Non-Current Liabilities gained in five of the last eight quarters, with growth averaging 55.1%.
- The high point for year-over-year Total Non-Current Liabilities in five years was Q4 2024 (growth of 429.2%); the low point was Q4 2023 (a decline of 71.8%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $43.58 billion (Q1 2026), $43.71 billion (Q4 2025) and $43.16 billion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 133.59 Bn | 108.95 Bn | - | 34.56 Bn |
| 2 | Mondelez International | 75.71 Bn | 69.03 Bn | 3.99 Bn | 42.64 Bn |
| 3 | Hershey | 32.64 Bn | 28.88 Bn | 1.26 Bn | 8.76 Bn |
| 4 | Kraft Heinz | 27.82 Bn | 14.35 Bn | 2.03 Bn | 35.62 Bn |
| 5 | General Mills | 18.09 Bn | 15.75 Bn | 1.49 Bn | 21.57 Bn |
| 6 | Mccormick | 13.03 Bn | 12.90 Bn | 778.20 Mn | 8.50 Bn |
| 7 | J M Smucker | 12.89 Bn | 12.68 Bn | 979.60 Mn | 8.16 Bn |
| 8 | Hormel Foods | 10.92 Bn | 7.61 Bn | 471.52 Mn | 5.23 Bn |
| 9 | Chewy | 7.33 Bn | 4.62 Bn | 1.01 Bn | 3.32 Bn |
| 10 | Conagra Brands | 6.75 Bn | 5.73 Bn | 704.10 Mn | 557.50 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 42.64 Bn |
| Mar 31, 2026 | 43.58 Bn |
| Dec 31, 2025 | 43.71 Bn |
| Sep 30, 2025 | 43.16 Bn |
| Jun 30, 2025 | 42.64 Bn |
| Mar 31, 2025 | 41.31 Bn |
| Dec 31, 2024 | 39.75 Bn |
| Sep 30, 2024 | 42.11 Bn |
| Jun 30, 2024 | 42.91 Bn |
| Mar 31, 2024 | 46.50 Bn |
| Dec 31, 2023 | 7.51 Bn |
| Sep 30, 2023 | 39.82 Bn |
| Jun 30, 2023 | 40.75 Bn |
| Mar 31, 2023 | 41.84 Bn |
| Dec 31, 2022 | 26.67 Bn |
| Sep 30, 2022 | 38.88 Bn |
| Jun 30, 2022 | 36.40 Bn |
| Mar 31, 2022 | 37.43 Bn |
| Dec 31, 2021 | 27.20 Bn |
| Sep 30, 2021 | 37.22 Bn |
Mondelez International Total Non-Current 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-non-current-liabilities&ticker=MDLZ&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-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-non-current-liabilities&ticker=MDLZ&period=max&api_key=YOUR_API_KEY");
const data = await res.json();