Mondelez International (MDLZ) Property, Plant & Equipment (Net) (2009 - 2026)
Mondelez International (MDLZ) recorded Property, Plant & Equipment (Net) of $10.62 billion in Q3 2026, up 2.8% from $10.33 billion a year earlier but down 0.3% from the prior quarter.
Mondelez International (MDLZ) Property, Plant & Equipment (Net) (2009 - 2026) Analysis & Trends
At the end of FY2025, Mondelez International reported Property, Plant & Equipment (Net) of $10.67 billion, up 12.5% from FY2024.
- Annual Property, Plant & Equipment (Net) has a five-year compound annual growth rate of 3.4% (FY2020 to FY2025).
- Across earlier years, Property, Plant & Equipment (Net) came in at $9.48 billion in FY2024 (-2.2%), $9.69 billion in FY2023 (+7.5%), $9.02 billion in FY2022 (+4.2%) and $8.66 billion in FY2021 (-4.1%).
- Quarterly Property, Plant & Equipment (Net) has ranged from $8.63 billion in Q3 2022 to $10.67 billion in Q4 2025 over the past five years.
- On a year-over-year basis, Property, Plant & Equipment (Net) has increased for seven consecutive quarters, with growth averaging 5.2% over the last eight quarters.
- Peak year-over-year performance for Property, Plant & Equipment (Net) in the last five years was growth of 12.5% in Q4 2025, against a decline of 4.1% in Q4 2021 at the low end.
- Per Business Quant, the preceding three quarters came in at $10.65 billion (Q2 2026), $10.57 billion (Q1 2026) and $10.67 billion (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Net) (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 145.28 Bn | 96.74 Bn | - | 10.69 Bn |
| 2 | Mondelez International | 84.79 Bn | 77.80 Bn | 3.92 Bn | 10.62 Bn |
| 3 | Hershey | 34.79 Bn | 31.52 Bn | 1.51 Bn | 3.50 Bn |
| 4 | Kraft Heinz | 28.94 Bn | 16.59 Bn | 1.99 Bn | 7.18 Bn |
| 5 | General Mills | 18.77 Bn | 16.41 Bn | 1.49 Bn | 3.38 Bn |
| 6 | J M Smucker | 14.22 Bn | 14.00 Bn | 979.60 Mn | 3.02 Bn |
| 7 | Mccormick | 12.91 Bn | 11.98 Bn | 794.90 Mn | 1.54 Bn |
| 8 | Hormel Foods | 12.24 Bn | 8.91 Bn | 471.52 Mn | 2.16 Bn |
| 9 | Chewy | 9.37 Bn | 6.66 Bn | 1.01 Bn | 624.80 Mn |
| 10 | Lamb Weston Holdings | 7.83 Bn | 7.46 Bn | 266.50 Mn | 3.62 Bn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 10.62 Bn |
| Jun 30, 2026 | 10.65 Bn |
| Mar 31, 2026 | 10.57 Bn |
| Dec 31, 2025 | 10.67 Bn |
| Sep 30, 2025 | 10.33 Bn |
| Jun 30, 2025 | 10.31 Bn |
| Mar 31, 2025 | 9.77 Bn |
| Dec 31, 2024 | 9.48 Bn |
| Sep 30, 2024 | 9.70 Bn |
| Jun 30, 2024 | 9.49 Bn |
| Mar 31, 2024 | 9.57 Bn |
| Dec 31, 2023 | 9.69 Bn |
| Sep 30, 2023 | 9.14 Bn |
| Jun 30, 2023 | 9.31 Bn |
| Mar 31, 2023 | 9.13 Bn |
| Dec 31, 2022 | 9.02 Bn |
| Sep 30, 2022 | 8.63 Bn |
| Jun 30, 2022 | 8.75 Bn |
| Mar 31, 2022 | 9.02 Bn |
| Dec 31, 2021 | 8.66 Bn |
Mondelez International Property, Plant & Equipment (Net) 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=property-plant-and-equipment-net&ticker=MDLZ&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "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=property-plant-and-equipment-net&ticker=MDLZ&period=max&api_key=YOUR_API_KEY");
const data = await res.json();