Unilever (UL) Profit After Tax (2009 - 2015)
Unilever (UL) posted Profit After Tax of $12.62 billion for FY2025, up 9.0% from $11.58 billion in FY2024.
Analysis
Unilever (UL) Profit After Tax (2009 - 2015) Analysis & Trends
Since FY2009, Unilever has reported Profit After Tax for 17 years.
- Annual Profit After Tax shows a five-year compound annual growth rate of 2.2% (FY2020 to FY2025).
- The FY2025 figure stands as the highest annual Profit After Tax since FY2022.
- Business Quant data shows UL's Profit After Tax at $11.58 billion in FY2024 (+0.9%), $11.48 billion in FY2023 (-12.2%), $13.07 billion in FY2022 (+5.3%) and $12.42 billion in FY2021 (+9.6%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PAT (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 132.43 Bn | 107.80 Bn | - | - |
| 2 | Mondelez International | 73.80 Bn | 67.12 Bn | 3.99 Bn | 1.54 Bn |
| 3 | Hershey | 31.86 Bn | 28.11 Bn | 1.26 Bn | 457.67 Mn |
| 4 | Kraft Heinz | 26.96 Bn | 13.49 Bn | 2.03 Bn | -5.46 Bn |
| 5 | General Mills | 17.20 Bn | 14.85 Bn | 1.49 Bn | 379.20 Mn |
| 6 | J M Smucker | 12.70 Bn | 12.49 Bn | 979.60 Mn | 324.30 Mn |
| 7 | Mccormick | 12.49 Bn | 12.36 Bn | 778.20 Mn | 156.70 Mn |
| 8 | Hormel Foods | 10.97 Bn | 7.66 Bn | 471.52 Mn | 59.52 Mn |
| 9 | Chewy | 7.31 Bn | 4.59 Bn | 1.01 Bn | 80.50 Mn |
| 10 | Conagra Brands | 6.43 Bn | 5.74 Bn | 618.70 Mn | 174.30 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2015 | 45.93 Bn |
| Dec 31, 2014 | 45.85 Bn |
| Dec 31, 2013 | 52.14 Bn |
| Dec 31, 2012 | 50.39 Bn |
| Dec 31, 2011 | 47.58 Bn |
| Dec 31, 2010 | 2.40 Bn |
| Sep 30, 2010 | 2.24 Bn |
| Jun 30, 2010 | 3.11 Bn |
| Mar 31, 2010 | 2.39 Bn |
| Dec 31, 2009 | 2.22 Bn |
| Sep 30, 2009 | 2.46 Bn |
| Jun 30, 2009 | 2.14 Bn |
| Mar 31, 2009 | 1.80 Bn |
API Access
Unilever Profit After Tax 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=profit-after-tax&ticker=UL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "profit-after-tax", "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=profit-after-tax&ticker=UL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();