Mondelez International (MDLZ) Return on Assets [ROA] (2009 - 2026)
Mondelez International (MDLZ) posted Return on Assets [ROA] of 4.96% for Q2 2026, down 0.26 percentage points from 5.22% a year earlier but up 1.28 percentage points from the prior quarter.
Mondelez International (MDLZ) Return on Assets [ROA] (2009 - 2026) Analysis & Trends
For FY2025, Mondelez International's Return on Assets [ROA] came in at 3.52%, down 3.09 percentage points from FY2024.
- Annual Return on Assets [ROA] shows a five-year change of -1.87 percentage points (FY2020 to FY2025).
- In prior years, Mondelez International's Return on Assets [ROA] was 6.61% in FY2024 (-0.36 pp), 6.97% in FY2023 (+3.03 pp), 3.94% in FY2022 (-2.45 pp) and 6.40% in FY2021 (+1.00 pp).
- Quarterly Return on Assets [ROA] has run from a low of 3.45% in Q4 2025 to a high of 6.98% in Q4 2023 over five years.
- On a year-over-year basis, Return on Assets [ROA] has declined in each of the last nine quarters, with an average year-over-year change of -0.92 percentage points over the last eight quarters.
- The strongest year-over-year quarter for Return on Assets [ROA] in the past five years was Q4 2023, with a gain of 3.07 percentage points; the weakest was Q4 2025, with a drop of 3.12 percentage points.
- According to Business Quant data, Return on Assets [ROA] for the three prior quarters was 3.68% (Q1 2026), 3.45% (Q4 2025) and 4.98% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROA (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 129.94 Bn | 105.31 Bn | - | - |
| 2 | Mondelez International | 73.72 Bn | 67.04 Bn | 3.99 Bn | 4.96% |
| 3 | Hershey | 32.21 Bn | 28.45 Bn | 1.26 Bn | 10.71% |
| 4 | Kraft Heinz | 26.65 Bn | 13.18 Bn | 2.03 Bn | -4.38% |
| 5 | General Mills | 16.93 Bn | 14.59 Bn | 1.49 Bn | -2.96% |
| 6 | J M Smucker | 12.38 Bn | 12.16 Bn | 979.60 Mn | 1.42% |
| 7 | Mccormick | 11.89 Bn | 11.54 Bn | 794.90 Mn | 8.69% |
| 8 | Hormel Foods | 11.00 Bn | 7.68 Bn | 471.52 Mn | 2.57% |
| 9 | Chewy | 7.12 Bn | 4.40 Bn | 1.01 Bn | 7.77% |
| 10 | Conagra Brands | 6.31 Bn | 5.62 Bn | 618.70 Mn | -10.90% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 4.96% |
| Mar 31, 2026 | 3.68% |
| Dec 31, 2025 | 3.45% |
| Sep 30, 2025 | 4.98% |
| Jun 30, 2025 | 5.22% |
| Mar 31, 2025 | 5.26% |
| Dec 31, 2024 | 6.57% |
| Sep 30, 2024 | 5.27% |
| Jun 30, 2024 | 5.25% |
| Mar 31, 2024 | 5.76% |
| Dec 31, 2023 | 6.98% |
| Sep 30, 2023 | 6.44% |
| Jun 30, 2023 | 5.73% |
| Mar 31, 2023 | 5.49% |
| Dec 31, 2022 | 3.92% |
| Sep 30, 2022 | 4.70% |
| Jun 30, 2022 | 5.78% |
| Mar 31, 2022 | 6.23% |
| Dec 31, 2021 | 6.42% |
| Sep 30, 2021 | 6.68% |
Mondelez International Return on Assets [ROA] 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-assets-%5Broa%5D&ticker=MDLZ&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-assets-[roa]", "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-assets-%5Broa%5D&ticker=MDLZ&period=max&api_key=YOUR_API_KEY");
const data = await res.json();