Mondelez International (MDLZ) Exchange Rate Effect (2009 - 2026)
Mondelez International's Exchange Rate Effect came in at $2 million for Q2 2026, down 98.7% from $152 million a year earlier.
Powered by 
Analysis
Mondelez International (MDLZ) Exchange Rate Effect (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Mondelez International reported Exchange Rate Effect of -$7 million; for FY2025, it was $236 million.
- Exchange Rate Effect carries a five-year compound annual growth rate of 26.4% (FY2020 to FY2025).
- Going back by year, Exchange Rate Effect was -$140 million in FY2024, -$32 million in FY2023, -$169 million in FY2022 and -$143 million in FY2021.
- The five-year range for quarterly Exchange Rate Effect is -$106 million (Q4 2024) to $152 million (Q2 2025).
- Business Quant data shows MDLZ's Exchange Rate Effect at -$5 million (Q1 2026), $11 million (Q4 2025) and -$15 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | FX Effect (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 136.33 Bn | 111.70 Bn | - | - |
| 2 | Mondelez International | 76.81 Bn | 70.13 Bn | 3.99 Bn | 2.00 Mn |
| 3 | Hershey | 33.25 Bn | 29.49 Bn | 1.26 Bn | 2.60 Mn |
| 4 | Kraft Heinz | 27.93 Bn | 14.46 Bn | 2.03 Bn | -5.00 Mn |
| 5 | General Mills | 17.97 Bn | 15.62 Bn | 1.49 Bn | -200,000.00 |
| 6 | Mccormick | 13.05 Bn | 12.93 Bn | 778.20 Mn | -4.60 Mn |
| 7 | J M Smucker | 12.89 Bn | 12.67 Bn | 979.60 Mn | -1.30 Mn |
| 8 | Hormel Foods | 10.99 Bn | 7.67 Bn | 471.52 Mn | 1.29 Mn |
| 9 | Chewy | 7.48 Bn | 4.77 Bn | 1.01 Bn | -300,000.00 |
| 10 | Conagra Brands | 6.78 Bn | 5.76 Bn | 704.10 Mn | -500,000.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.00 Mn |
| Mar 31, 2026 | -5.00 Mn |
| Dec 31, 2025 | 11.00 Mn |
| Sep 30, 2025 | -15.00 Mn |
| Jun 30, 2025 | 152.00 Mn |
| Mar 31, 2025 | 88.00 Mn |
| Dec 31, 2024 | -106.00 Mn |
| Sep 30, 2024 | 74.00 Mn |
| Jun 30, 2024 | -31.00 Mn |
| Mar 31, 2024 | -77.00 Mn |
| Dec 31, 2023 | 101.00 Mn |
| Sep 30, 2023 | -54.00 Mn |
| Jun 30, 2023 | -68.00 Mn |
| Mar 31, 2023 | -11.00 Mn |
| Dec 31, 2022 | -2.00 Mn |
| Sep 30, 2022 | -97.00 Mn |
| Jun 30, 2022 | -60.00 Mn |
| Mar 31, 2022 | -10.00 Mn |
| Dec 31, 2021 | -46.00 Mn |
| Sep 30, 2021 | -72.00 Mn |
API Access
Mondelez International Exchange Rate Effect 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=exchange-rate-effect&ticker=MDLZ&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "exchange-rate-effect", "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=exchange-rate-effect&ticker=MDLZ&period=max&api_key=YOUR_API_KEY");
const data = await res.json();