Unilever (UL) Tax Provisions (2009 - 2015)
Unilever's Tax Provisions came in at -$2.8 billion for FY2025, compared with -$2.52 billion in FY2024.
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Analysis
Unilever (UL) Tax Provisions (2009 - 2015) Analysis & Trends
Going back to FY2009, Unilever's Tax Provisions data covers 17 years.
- The FY2025 figure represents the lowest annual Tax Provisions since FY2018.
- Per Business Quant, earlier years put Tax Provisions at -$2.52 billion in FY2024, -$2.15 billion in FY2023, -$2.18 billion in FY2022 and -$2.29 billion in FY2021.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Taxes (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 132.43 Bn | 107.80 Bn | - | - |
| 2 | Mondelez International | 73.80 Bn | 67.12 Bn | 3.99 Bn | 364.00 Mn |
| 3 | Hershey | 31.86 Bn | 28.11 Bn | 1.26 Bn | 130.62 Mn |
| 4 | Kraft Heinz | 26.96 Bn | 13.49 Bn | 2.03 Bn | -916.00 Mn |
| 5 | General Mills | 17.20 Bn | 14.85 Bn | 1.49 Bn | 122.80 Mn |
| 6 | J M Smucker | 12.70 Bn | 12.49 Bn | 979.60 Mn | 103.60 Mn |
| 7 | Mccormick | 12.49 Bn | 12.36 Bn | 778.20 Mn | 63.50 Mn |
| 8 | Hormel Foods | 10.97 Bn | 7.66 Bn | 471.52 Mn | 43.64 Mn |
| 9 | Chewy | 7.31 Bn | 4.59 Bn | 1.01 Bn | 31.40 Mn |
| 10 | Conagra Brands | 6.43 Bn | 5.74 Bn | 618.70 Mn | 58.60 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2015 | -2.15 Bn |
| Dec 31, 2014 | -2.66 Bn |
| Dec 31, 2013 | -2.52 Bn |
| Dec 31, 2012 | -2.20 Bn |
| Dec 31, 2011 | -2.12 Bn |
| Dec 31, 2010 | -490.23 Mn |
| Sep 30, 2010 | 24.53 Mn |
| Jun 30, 2010 | -1.09 Bn |
| Mar 31, 2010 | -463.88 Mn |
| Dec 31, 2009 | -441.54 Mn |
| Sep 30, 2009 | -431.88 Mn |
| Jun 30, 2009 | -502.45 Mn |
| Mar 31, 2009 | -375.32 Mn |
API Access
Unilever Tax Provisions 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=tax-provisions&ticker=UL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "tax-provisions", "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=tax-provisions&ticker=UL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();