Unilever (UL) Change in Taxes (2009 - 2025)
Unilever (UL) posted Change in Taxes of -$3.17 billion for Q4 2025, compared with -$2.62 billion a year earlier.
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Analysis
Unilever (UL) Change in Taxes (2009 - 2025) Analysis & Trends
For FY2025, Unilever's Change in Taxes came in at $2.8 billion, up 11.1% from FY2024.
- In prior years, Unilever's Change in Taxes was $2.52 billion in FY2024 (+17.3%), $2.15 billion in FY2023, -$2.96 billion in FY2022 and -$2.76 billion in FY2021.
- The Q4 2025 figure stands as the lowest quarterly Change in Taxes in data going back to Q1 2009.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Taxes (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 132.43 Bn | 107.80 Bn | - | - |
| 2 | Mondelez International | 73.80 Bn | 67.12 Bn | 3.99 Bn | - |
| 3 | Hershey | 31.86 Bn | 28.11 Bn | 1.26 Bn | -88.94 Mn |
| 4 | Kraft Heinz | 26.96 Bn | 13.49 Bn | 2.03 Bn | - |
| 5 | General Mills | 17.20 Bn | 14.85 Bn | 1.49 Bn | - |
| 6 | J M Smucker | 12.70 Bn | 12.49 Bn | 979.60 Mn | -31.70 Mn |
| 7 | Mccormick | 12.49 Bn | 12.36 Bn | 778.20 Mn | - |
| 8 | Hormel Foods | 10.97 Bn | 7.66 Bn | 471.52 Mn | 6.46 Mn |
| 9 | Chewy | 7.31 Bn | 4.59 Bn | 1.01 Bn | - |
| 10 | Conagra Brands | 6.43 Bn | 5.74 Bn | 618.70 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | -3.17 Bn |
| Dec 31, 2024 | -2.62 Bn |
| Dec 31, 2023 | -2.30 Bn |
| Dec 31, 2017 | -2.55 Bn |
| Dec 31, 2016 | -2.43 Bn |
| Dec 31, 2015 | -2.22 Bn |
| Dec 31, 2014 | -2.89 Bn |
| Dec 31, 2013 | -2.46 Bn |
| Dec 31, 2012 | -2.18 Bn |
| Dec 31, 2011 | -1.60 Bn |
| Dec 31, 2010 | -1.80 Bn |
| Sep 30, 2010 | 227.26 Mn |
| Jun 30, 2010 | -1.19 Bn |
| Mar 31, 2010 | -294.94 Mn |
| Dec 31, 2009 | -1.42 Bn |
| Sep 30, 2009 | -347.51 Mn |
| Jun 30, 2009 | -326.80 Mn |
| Mar 31, 2009 | -249.78 Mn |
API Access
Unilever Change in Taxes 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=change-in-taxes&ticker=UL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-taxes", "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=change-in-taxes&ticker=UL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();