Mondelez International (MDLZ) Return on Sales [ROS] (2009 - 2026)
Mondelez International (MDLZ) posted Return on Sales [ROS] of 20.80% for Q2 2026, up 7.76 percentage points from 13.05% a year earlier and up 12.79 percentage points from the prior quarter.
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Analysis
Mondelez International (MDLZ) Return on Sales [ROS] (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Return on Sales [ROS] at Mondelez International was 11.22%, down 1.22 percentage points year-over-year; for FY2025, it was 9.21%, down 8.20 percentage points from FY2024.
- Annual Return on Sales [ROS] shows a five-year change of -5.29 percentage points (FY2020 to FY2025).
- In prior years, Mondelez International's Return on Sales [ROS] was 17.41% in FY2024 (+2.14 pp), 15.28% in FY2023 (+4.06 pp), 11.22% in FY2022 (-4.98 pp) and 16.20% in FY2021 (+1.71 pp).
- The Q2 2026 figure stands as the highest quarterly Return on Sales [ROS] since Q1 2024.
- On a year-over-year basis, Return on Sales [ROS] increased in four of the last eight quarters, with an average year-over-year change of -2.77 percentage points.
- The strongest year-over-year quarter for Return on Sales [ROS] in the past five years was Q1 2024, with a gain of 12.93 percentage points; the weakest was Q1 2025, with a drop of 22.05 percentage points.
- According to Business Quant data, Return on Sales [ROS] for the three prior quarters was 8.02% (Q1 2026), 9.07% (Q4 2025) and 7.64% (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 130.23 Bn | 105.59 Bn | - | - |
| 2 | Mondelez International | 74.27 Bn | 67.59 Bn | 3.99 Bn | 20.80% |
| 3 | Hershey | 32.39 Bn | 28.63 Bn | 1.26 Bn | 23.06% |
| 4 | Kraft Heinz | 26.34 Bn | 12.87 Bn | 2.03 Bn | -102.70% |
| 5 | General Mills | 17.12 Bn | 14.77 Bn | 1.49 Bn | 14.43% |
| 6 | J M Smucker | 12.52 Bn | 12.30 Bn | 979.60 Mn | 23.05% |
| 7 | Mccormick | 12.03 Bn | 11.67 Bn | 794.90 Mn | 10.72% |
| 8 | Hormel Foods | 11.14 Bn | 7.83 Bn | 471.52 Mn | 3.75% |
| 9 | Chewy | 7.29 Bn | 4.58 Bn | 1.01 Bn | 2.76% |
| 10 | Conagra Brands | 6.38 Bn | 5.69 Bn | 618.70 Mn | 10.34% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 20.80% |
| Mar 31, 2026 | 8.02% |
| Dec 31, 2025 | 9.07% |
| Sep 30, 2025 | 7.64% |
| Jun 30, 2025 | 13.05% |
| Mar 31, 2025 | 7.30% |
| Dec 31, 2024 | 16.77% |
| Sep 30, 2024 | 12.53% |
| Jun 30, 2024 | 10.24% |
| Mar 31, 2024 | 29.35% |
| Dec 31, 2023 | 12.81% |
| Sep 30, 2023 | 15.27% |
| Jun 30, 2023 | 16.75% |
| Mar 31, 2023 | 16.42% |
| Dec 31, 2022 | 9.59% |
| Sep 30, 2022 | 8.75% |
| Jun 30, 2022 | 12.74% |
| Mar 31, 2022 | 14.09% |
| Dec 31, 2021 | 15.72% |
| Sep 30, 2021 | 18.02% |
API Access
Mondelez International Return on Sales [ROS] 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=return-on-sales-%5Bros%5D&ticker=MDLZ&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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=return-on-sales-%5Bros%5D&ticker=MDLZ&period=max&api_key=YOUR_API_KEY");
const data = await res.json();