Mondelez International (MDLZ) Cash from Operations (2009 - 2026)
Mondelez International (MDLZ) recorded Cash from Operations of $855 million in Q2 2026, up 177.6% from $308 million a year earlier and up 83.1% from the prior quarter.
Mondelez International (MDLZ) Cash from Operations (2009 - 2026) Analysis & Trends
On a TTM basis, Mondelez International's Cash from Operations came in at $4.44 billion as of Jun 30, 2026, up 6.5% year-over-year; for FY2025, it came in at $4.51 billion, down 8.1% from FY2024.
- Annual Cash from Operations has a five-year compound annual growth rate of 2.6% (FY2020 to FY2025).
- Across earlier years, Cash from Operations came in at $4.91 billion in FY2024 (+4.2%), $4.71 billion in FY2023 (+20.6%), $3.91 billion in FY2022 (-5.6%) and $4.14 billion in FY2021 (+4.5%).
- Quarterly Cash from Operations has ranged from $308 million in Q2 2025 to $2.4 billion in Q4 2025 over the past five years.
- On a year-over-year basis, Cash from Operations rose in three of the last eight quarters, with growth averaging 8.0%.
- Peak year-over-year performance for Cash from Operations in the last five years was growth of 177.6% in Q2 2026, against a decline of 62.5% in Q2 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at $467 million (Q1 2026), $2.4 billion (Q4 2025) and $717 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash from Ops. (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 132.43 Bn | 107.80 Bn | - | - |
| 2 | Mondelez International | 73.80 Bn | 67.12 Bn | 3.99 Bn | 855.00 Mn |
| 3 | Hershey | 31.86 Bn | 28.11 Bn | 1.26 Bn | 419.32 Mn |
| 4 | Kraft Heinz | 26.96 Bn | 13.49 Bn | 2.03 Bn | 1.08 Bn |
| 5 | General Mills | 17.20 Bn | 14.85 Bn | 1.49 Bn | 297.80 Mn |
| 6 | J M Smucker | 12.70 Bn | 12.49 Bn | 979.60 Mn | 425.70 Mn |
| 7 | Mccormick | 12.49 Bn | 12.36 Bn | 778.20 Mn | 379.80 Mn |
| 8 | Hormel Foods | 10.97 Bn | 7.66 Bn | 471.52 Mn | 240.60 Mn |
| 9 | Chewy | 7.31 Bn | 4.59 Bn | 1.01 Bn | 137.40 Mn |
| 10 | Conagra Brands | 6.43 Bn | 5.74 Bn | 618.70 Mn | -4.20 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 855.00 Mn |
| Mar 31, 2026 | 467.00 Mn |
| Dec 31, 2025 | 2.40 Bn |
| Sep 30, 2025 | 717.00 Mn |
| Jun 30, 2025 | 308.00 Mn |
| Mar 31, 2025 | 1.09 Bn |
| Dec 31, 2024 | 1.46 Bn |
| Sep 30, 2024 | 1.31 Bn |
| Jun 30, 2024 | 822.00 Mn |
| Mar 31, 2024 | 1.32 Bn |
| Dec 31, 2023 | 1.56 Bn |
| Sep 30, 2023 | 1.18 Bn |
| Jun 30, 2023 | 850.00 Mn |
| Mar 31, 2023 | 1.12 Bn |
| Dec 31, 2022 | 1.39 Bn |
| Sep 30, 2022 | 549.00 Mn |
| Jun 30, 2022 | 836.00 Mn |
| Mar 31, 2022 | 1.13 Bn |
| Dec 31, 2021 | 1.42 Bn |
| Sep 30, 2021 | 928.00 Mn |
Mondelez International Cash from Operations 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=cash-from-operations&ticker=MDLZ&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-from-operations", "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=cash-from-operations&ticker=MDLZ&period=max&api_key=YOUR_API_KEY");
const data = await res.json();