Mondelez International (MDLZ) Operating Expenses (2009 - 2026)
Mondelez International's Operating Expenses came in at $2.01 billion for Q2 2026, up 16.6% from $1.73 billion a year earlier and up 2.3% from the prior quarter.
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Analysis
Mondelez International (MDLZ) Operating Expenses (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Mondelez International reported Operating Expenses of $7.8 billion, up 6.7% year-over-year; for FY2025, it was $7.26 billion, down 6.5% from FY2024.
- Operating Expenses carries a five-year compound annual growth rate of 2.6% (FY2020 to FY2025).
- Going back by year, Operating Expenses was $7.76 billion in FY2024 (-5.5%), $8.22 billion in FY2023 (+7.5%), $7.65 billion in FY2022 (+18.1%) and $6.48 billion in FY2021 (+1.2%).
- The Q2 2026 figure represents the highest quarterly Operating Expenses since Q4 2024.
- Year-over-year, Operating Expenses increased in three of the last eight quarters, with an average decline of 2.4%.
- The fastest year-over-year change in Operating Expenses over five years came in Q4 2022 (growth of 38.2%), and the weakest in Q1 2025 (a decline of 13.7%).
- Business Quant data shows MDLZ's Operating Expenses at $1.97 billion (Q1 2026), $1.98 billion (Q4 2025) and $1.84 billion (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 142.47 Bn | 93.93 Bn | - | - |
| 2 | Mondelez International | 82.20 Bn | 75.47 Bn | 3.99 Bn | 2.01 Bn |
| 3 | Hershey | 34.19 Bn | 30.44 Bn | 1.26 Bn | 628.91 Mn |
| 4 | Kraft Heinz | 28.23 Bn | 14.65 Bn | 2.03 Bn | 8.46 Bn |
| 5 | General Mills | 17.93 Bn | 15.58 Bn | 1.49 Bn | 853.60 Mn |
| 6 | J M Smucker | 13.85 Bn | 13.63 Bn | 979.60 Mn | 411.10 Mn |
| 7 | Mccormick | 12.79 Bn | 11.85 Bn | 794.90 Mn | 436.40 Mn |
| 8 | Hormel Foods | 11.28 Bn | 7.95 Bn | 471.52 Mn | 323.50 Mn |
| 9 | Chewy | 8.73 Bn | 6.01 Bn | 1.01 Bn | 919.20 Mn |
| 10 | Lamb Weston Holdings | 7.38 Bn | 7.00 Bn | 266.50 Mn | 184.30 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.01 Bn |
| Mar 31, 2026 | 1.97 Bn |
| Dec 31, 2025 | 1.98 Bn |
| Sep 30, 2025 | 1.84 Bn |
| Jun 30, 2025 | 1.73 Bn |
| Mar 31, 2025 | 1.71 Bn |
| Dec 31, 2024 | 2.07 Bn |
| Sep 30, 2024 | 1.81 Bn |
| Jun 30, 2024 | 1.91 Bn |
| Mar 31, 2024 | 1.99 Bn |
| Dec 31, 2023 | 2.35 Bn |
| Sep 30, 2023 | 2.08 Bn |
| Jun 30, 2023 | 1.89 Bn |
| Mar 31, 2023 | 1.90 Bn |
| Dec 31, 2022 | 2.21 Bn |
| Sep 30, 2022 | 1.90 Bn |
| Jun 30, 2022 | 1.68 Bn |
| Mar 31, 2022 | 1.86 Bn |
| Dec 31, 2021 | 1.60 Bn |
| Sep 30, 2021 | 1.50 Bn |
API Access
Mondelez International Operating Expenses 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=operating-expenses&ticker=MDLZ&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=MDLZ&period=max&api_key=YOUR_API_KEY");
const data = await res.json();