Mondelez International (MDLZ) Change in Other Operating Assets (2009 - 2026)
Mondelez International (MDLZ) recorded Change in Other Operating Assets of -$119 million in Q3 2026, compared with $138 million a year earlier.
Mondelez International (MDLZ) Change in Other Operating Assets (2009 - 2026) Analysis & Trends
On a TTM basis, Mondelez International's Change in Other Operating Assets came in at -$66 million as of Sep 30, 2026; for FY2025, it was $225 million, down 61.9% from FY2024.
- Annual Change in Other Operating Assets has a five-year compound annual growth rate of 1.7% (FY2020 to FY2025).
- Across earlier years, Change in Other Operating Assets came in at $591 million in FY2024 (+392.5%), $120 million in FY2023 (-58.0%), $286 million in FY2022 (+69.2%) and $169 million in FY2021 (-18.4%).
- Quarterly Change in Other Operating Assets has ranged from -$196 million in Q1 2025 to $330 million in Q1 2024 over the past five years.
- Peak year-over-year performance for Change in Other Operating Assets in the last five years was growth of 140.9% in Q1 2024, against a decline of 98.6% in Q3 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at -$143 million (Q2 2026), $1 million (Q1 2026) and $195 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Other Assets Change (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 144.12 Bn | 95.58 Bn | - | - |
| 2 | Mondelez International | 84.19 Bn | 77.20 Bn | 3.92 Bn | -119.00 Mn |
| 3 | Hershey | 35.81 Bn | 32.54 Bn | 1.51 Bn | -67.42 Mn |
| 4 | Kraft Heinz | 29.23 Bn | 16.88 Bn | 1.99 Bn | 130.00 Mn |
| 5 | General Mills | 19.05 Bn | 16.70 Bn | 1.49 Bn | -90.40 Mn |
| 6 | J M Smucker | 13.93 Bn | 13.71 Bn | 979.60 Mn | 13.80 Mn |
| 7 | Mccormick | 13.03 Bn | 12.10 Bn | 794.90 Mn | - |
| 8 | Hormel Foods | 12.08 Bn | 8.75 Bn | 471.52 Mn | -516,000.00 |
| 9 | Chewy | 9.17 Bn | 6.46 Bn | 1.01 Bn | -5.40 Mn |
| 10 | Lamb Weston Holdings | 7.60 Bn | 7.23 Bn | 266.50 Mn | -34.60 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | -119.00 Mn |
| Jun 30, 2026 | -143.00 Mn |
| Mar 31, 2026 | 1.00 Mn |
| Dec 31, 2025 | 195.00 Mn |
| Sep 30, 2025 | 138.00 Mn |
| Jun 30, 2025 | 88.00 Mn |
| Mar 31, 2025 | -196.00 Mn |
| Dec 31, 2024 | 304.00 Mn |
| Sep 30, 2024 | -119.00 Mn |
| Jun 30, 2024 | 76.00 Mn |
| Mar 31, 2024 | 330.00 Mn |
| Dec 31, 2023 | 12.00 Mn |
| Sep 30, 2023 | -22.00 Mn |
| Jun 30, 2023 | -7.00 Mn |
| Mar 31, 2023 | 137.00 Mn |
| Dec 31, 2022 | 143.00 Mn |
| Sep 30, 2022 | 1.00 Mn |
| Jun 30, 2022 | 38.00 Mn |
| Mar 31, 2022 | 104.00 Mn |
| Dec 31, 2021 | -90.00 Mn |
Mondelez International Change in Other Operating Assets 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-other-operating-assets&ticker=MDLZ&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-other-operating-assets", "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-other-operating-assets&ticker=MDLZ&period=max&api_key=YOUR_API_KEY");
const data = await res.json();