Unilever (UL) Capital Expenditures (2009 - 2025)
Unilever (UL) reported Capital Expenditures of -$1.71 billion for Q4 2025, compared with -$1.71 billion a year earlier.
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Analysis
Unilever (UL) Capital Expenditures (2009 - 2025) Analysis & Trends
For FY2025, Unilever posted Capital Expenditures of -$1.6 billion.
- By year, Capital Expenditures came in at -$1.49 billion in FY2024, -$1.29 billion in FY2023, -$1.53 billion in FY2022 and -$1.31 billion in FY2021.
- The Q4 2025 figure ranks as the highest quarterly Capital Expenditures since Q3 2011.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Capex (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 132.43 Bn | 107.80 Bn | - | - |
| 2 | Mondelez International | 73.80 Bn | 67.12 Bn | 3.99 Bn | 342.00 Mn |
| 3 | Hershey | 31.86 Bn | 28.11 Bn | 1.26 Bn | 89.83 Mn |
| 4 | Kraft Heinz | 26.96 Bn | 13.49 Bn | 2.03 Bn | 189.00 Mn |
| 5 | General Mills | 17.20 Bn | 14.85 Bn | 1.49 Bn | 90.50 Mn |
| 6 | J M Smucker | 12.70 Bn | 12.49 Bn | 979.60 Mn | 88.40 Mn |
| 7 | Mccormick | 12.49 Bn | 12.36 Bn | 778.20 Mn | 42.70 Mn |
| 8 | Hormel Foods | 10.97 Bn | 7.66 Bn | 471.52 Mn | 68.16 Mn |
| 9 | Chewy | 7.31 Bn | 4.59 Bn | 1.01 Bn | 47.90 Mn |
| 10 | Conagra Brands | 6.43 Bn | 5.74 Bn | 618.70 Mn | 123.70 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | -1.71 Bn |
| Dec 31, 2024 | -1.71 Bn |
| Dec 31, 2023 | -1.83 Bn |
| Dec 31, 2017 | -1.91 Bn |
| Dec 31, 2016 | -2.03 Bn |
| Dec 31, 2015 | -2.27 Bn |
| Dec 31, 2014 | -2.56 Bn |
| Dec 31, 2013 | -2.76 Bn |
| Dec 31, 2012 | -2.78 Bn |
| Dec 31, 2011 | -2.66 Bn |
| Dec 31, 2010 | -2.31 Bn |
| Sep 30, 2010 | -431.29 Mn |
| Jun 30, 2010 | -518.86 Mn |
| Mar 31, 2010 | -479.11 Mn |
| Dec 31, 2009 | -1.86 Bn |
| Sep 30, 2009 | -423.30 Mn |
| Jun 30, 2009 | -382.62 Mn |
| Mar 31, 2009 | -294.24 Mn |
API Access
Unilever Capital Expenditures 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=capital-expenditures&ticker=UL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "capital-expenditures", "ticker": "UL", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=capital-expenditures&ticker=UL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();