Mondelez International (MDLZ) Revenue (2009 - 2026)
Mondelez International (MDLZ) reported Revenue of $9.36 billion for Q2 2026, up 4.1% from $8.98 billion a year earlier but down 7.2% from the prior quarter.
Mondelez International (MDLZ) Revenue (2009 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Mondelez International's Revenue came in at $39.68 billion, up 6.9% year-over-year; for FY2025, it was $38.54 billion, up 5.8% from FY2024.
- Revenue has increased for six consecutive years, with a five-year compound annual growth rate of 7.7% (FY2020 to FY2025).
- By year, Revenue came in at $36.44 billion in FY2024 (+1.2%), $36.02 billion in FY2023 (+14.4%), $31.5 billion in FY2022 (+9.7%) and $28.72 billion in FY2021 (+8.0%).
- Five-year quarterly Revenue spans a low of $7.18 billion in Q3 2021 and a high of $10.5 billion in Q4 2025.
- Year over year, Revenue has now increased in each of the last eight quarters, with growth averaging 5.1% over the last eight quarters.
- The high point for year-over-year Revenue in five years was Q1 2023 (growth of 18.1%); the low point was Q2 2024 (a decline of 1.9%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $10.08 billion (Q1 2026), $10.5 billion (Q4 2025) and $9.74 billion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Revenue (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 132.43 Bn | 107.80 Bn | - | 15.16 Bn |
| 2 | Mondelez International | 73.80 Bn | 67.12 Bn | 3.99 Bn | 9.36 Bn |
| 3 | Hershey | 31.86 Bn | 28.11 Bn | 1.26 Bn | 2.79 Bn |
| 4 | Kraft Heinz | 26.96 Bn | 13.49 Bn | 2.03 Bn | 6.26 Bn |
| 5 | General Mills | 17.20 Bn | 14.85 Bn | 1.49 Bn | 4.39 Bn |
| 6 | J M Smucker | 12.70 Bn | 12.49 Bn | 979.60 Mn | 2.22 Bn |
| 7 | Mccormick | 12.49 Bn | 12.36 Bn | 778.20 Mn | 1.94 Bn |
| 8 | Hormel Foods | 10.97 Bn | 7.66 Bn | 471.52 Mn | 2.96 Bn |
| 9 | Chewy | 7.31 Bn | 4.59 Bn | 1.01 Bn | 3.33 Bn |
| 10 | Conagra Brands | 6.43 Bn | 5.74 Bn | 618.70 Mn | 2.60 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 9.36 Bn |
| Mar 31, 2026 | 10.08 Bn |
| Dec 31, 2025 | 10.50 Bn |
| Sep 30, 2025 | 9.74 Bn |
| Jun 30, 2025 | 8.98 Bn |
| Mar 31, 2025 | 9.31 Bn |
| Dec 31, 2024 | 9.60 Bn |
| Sep 30, 2024 | 9.20 Bn |
| Jun 30, 2024 | 8.34 Bn |
| Mar 31, 2024 | 9.29 Bn |
| Dec 31, 2023 | 9.31 Bn |
| Sep 30, 2023 | 9.03 Bn |
| Jun 30, 2023 | 8.51 Bn |
| Mar 31, 2023 | 9.17 Bn |
| Dec 31, 2022 | 8.70 Bn |
| Sep 30, 2022 | 7.76 Bn |
| Jun 30, 2022 | 7.27 Bn |
| Mar 31, 2022 | 7.76 Bn |
| Dec 31, 2021 | 7.66 Bn |
| Sep 30, 2021 | 7.18 Bn |
Mondelez International Revenue 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=revenue&ticker=MDLZ&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "revenue", "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=revenue&ticker=MDLZ&period=max&api_key=YOUR_API_KEY");
const data = await res.json();