Mondelez International (MDLZ) Asset Writedowns and Impairment (2012 - 2026)
Mondelez International (MDLZ) reported Asset Writedowns and Impairment of $6 million for Q2 2026, up 20.0% from $5 million a year earlier and up 50.0% from the prior quarter.
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Analysis
Mondelez International (MDLZ) Asset Writedowns and Impairment (2012 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Mondelez International's Asset Writedowns and Impairment came in at $86 million, down 66.1% year-over-year; for FY2025, it came in at $85 million, down 68.2% from FY2024.
- Asset Writedowns and Impairment has a five-year compound annual growth rate of -9.0% (FY2020 to FY2025).
- By year, Asset Writedowns and Impairment came in at $267 million in FY2024 (+108.6%), $128 million in FY2023 (-45.1%), $233 million in FY2022 (+82.0%) and $128 million in FY2021 (-5.9%).
- Five-year quarterly Asset Writedowns and Impairment spans a low of -$75 million in Q4 2021 and a high of $188 million in Q3 2024.
- Year over year, Asset Writedowns and Impairment gained in three of the last eight quarters, with growth averaging 17.0%.
- The high point for year-over-year Asset Writedowns and Impairment in five years was Q3 2024 (growth of 268.6%); the low point was Q2 2022 (a decline of 92.7%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $4 million (Q1 2026), $30 million (Q4 2025) and $46 million (Q3 2025).
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 |
|---|---|
| Jun 30, 2026 | 6.00 Mn |
| Mar 31, 2026 | 4.00 Mn |
| Dec 31, 2025 | 30.00 Mn |
| Sep 30, 2025 | 46.00 Mn |
| Jun 30, 2025 | 5.00 Mn |
| Mar 31, 2025 | 4.00 Mn |
| Dec 31, 2024 | 57.00 Mn |
| Sep 30, 2024 | 188.00 Mn |
| Jun 30, 2024 | 16.00 Mn |
| Mar 31, 2024 | 6.00 Mn |
| Dec 31, 2023 | 33.00 Mn |
| Sep 30, 2023 | 51.00 Mn |
| Jun 30, 2023 | 26.00 Mn |
| Mar 31, 2023 | 18.00 Mn |
| Dec 31, 2022 | 55.00 Mn |
| Sep 30, 2022 | 15.00 Mn |
| Jun 30, 2022 | 8.00 Mn |
| Mar 31, 2022 | 155.00 Mn |
| Dec 31, 2021 | -75.00 Mn |
| Sep 30, 2021 | 51.00 Mn |
API Access
Mondelez International Asset Writedowns and Impairment 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=asset-writedowns-and-impairment&ticker=MDLZ&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "asset-writedowns-and-impairment", "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=asset-writedowns-and-impairment&ticker=MDLZ&period=max&api_key=YOUR_API_KEY");
const data = await res.json();