Mondelez International (MDLZ) EBITDA (2009 - 2026)
Mondelez International (MDLZ) posted EBITDA of $2.11 billion for Q3 2026, up 93.7% from $1.09 billion a year earlier but down 8.3% from the prior quarter.
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Analysis
Mondelez International (MDLZ) EBITDA (2009 - 2026) Analysis & Trends
For the trailing twelve months through Sep 30, 2026, EBITDA at Mondelez International was $6.86 billion, up 23.7% year-over-year; for FY2025, it was $4.91 billion, down 35.8% from FY2024.
- Annual EBITDA shows a five-year compound annual growth rate of -0.3% (FY2020 to FY2025).
- In prior years, Mondelez International's EBITDA was $7.65 billion in FY2024 (+13.8%), $6.72 billion in FY2023 (+44.7%), $4.64 billion in FY2022 (-19.5%) and $5.77 billion in FY2021 (+16.0%).
- Quarterly EBITDA has run from a low of $950 million in Q3 2022 to a high of $3.05 billion in Q1 2024 over five years.
- On a year-over-year basis, EBITDA has increased in each of the last three quarters, with growth averaging 11.4% over the last eight quarters.
- The strongest year-over-year quarter for EBITDA in the past five years was Q3 2026, with growth of 93.7%; the weakest was Q1 2025, with a decline of 67.0%.
- According to Business Quant data, EBITDA for the three prior quarters was $2.3 billion (Q2 2026), $1.15 billion (Q1 2026) and $1.3 billion (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 144.56 Bn | 96.02 Bn | - | - |
| 2 | Mondelez International | 83.86 Bn | 76.87 Bn | 3.92 Bn | 2.11 Bn |
| 3 | Hershey | 34.38 Bn | 31.11 Bn | 1.51 Bn | 953.93 Mn |
| 4 | Kraft Heinz | 28.62 Bn | 16.27 Bn | 1.99 Bn | 1.14 Bn |
| 5 | General Mills | 18.33 Bn | 15.98 Bn | 1.49 Bn | 773.40 Mn |
| 6 | J M Smucker | 14.08 Bn | 13.86 Bn | 979.60 Mn | 639.10 Mn |
| 7 | Mccormick | 12.60 Bn | 11.66 Bn | 794.90 Mn | 293.60 Mn |
| 8 | Hormel Foods | 12.11 Bn | 8.77 Bn | 471.52 Mn | 177.33 Mn |
| 9 | Chewy | 9.02 Bn | 6.31 Bn | 1.01 Bn | 131.70 Mn |
| 10 | Lamb Weston Holdings | 7.75 Bn | 7.37 Bn | 266.50 Mn | 183.10 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 2.11 Bn |
| Jun 30, 2026 | 2.30 Bn |
| Mar 31, 2026 | 1.15 Bn |
| Dec 31, 2025 | 1.30 Bn |
| Sep 30, 2025 | 1.09 Bn |
| Jun 30, 2025 | 1.51 Bn |
| Mar 31, 2025 | 1.00 Bn |
| Dec 31, 2024 | 1.94 Bn |
| Sep 30, 2024 | 1.49 Bn |
| Jun 30, 2024 | 1.17 Bn |
| Mar 31, 2024 | 3.05 Bn |
| Dec 31, 2023 | 1.51 Bn |
| Sep 30, 2023 | 1.69 Bn |
| Jun 30, 2023 | 1.72 Bn |
| Mar 31, 2023 | 1.81 Bn |
| Dec 31, 2022 | 1.12 Bn |
| Sep 30, 2022 | 950.00 Mn |
| Jun 30, 2022 | 1.20 Bn |
| Mar 31, 2022 | 1.37 Bn |
| Dec 31, 2021 | 1.48 Bn |
API Access
Mondelez International EBITDA 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=ebitda&ticker=MDLZ&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=MDLZ&period=max&api_key=YOUR_API_KEY");
const data = await res.json();