Unilever (UL) Net Income (2009 - 2015)
Unilever (UL) reported Net Income of $11.31 billion for FY2025, up 64.1% from $6.89 billion in FY2024.
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Analysis
Unilever (UL) Net Income (2009 - 2015) Analysis & Trends
Dating back to FY2009, Unilever's Net Income record includes 17 years.
- Net Income has a five-year compound annual growth rate of 10.3% (FY2020 to FY2025).
- The FY2025 figure ranks as the highest annual Net Income in data going back to FY2009.
- According to Business Quant data, Net Income came in at $6.89 billion in FY2024 (-10.7%), $7.72 billion in FY2023 (-11.4%), $8.72 billion in FY2022 (+11.2%) and $7.84 billion in FY2021 (+13.0%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net Income (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 146.13 Bn | 97.59 Bn | - | - |
| 2 | Mondelez International | 83.52 Bn | 76.79 Bn | 3.99 Bn | 1.55 Bn |
| 3 | Hershey | 35.34 Bn | 31.58 Bn | 1.26 Bn | 457.67 Mn |
| 4 | Kraft Heinz | 29.67 Bn | 16.09 Bn | 2.03 Bn | -5.46 Bn |
| 5 | General Mills | 18.81 Bn | 16.45 Bn | 1.49 Bn | 398.10 Mn |
| 6 | J M Smucker | 14.20 Bn | 13.99 Bn | 979.60 Mn | 324.30 Mn |
| 7 | Mccormick | 13.07 Bn | 12.13 Bn | 794.90 Mn | 107.60 Mn |
| 8 | Hormel Foods | 11.74 Bn | 8.40 Bn | 471.52 Mn | 59.57 Mn |
| 9 | Chewy | 9.07 Bn | 6.36 Bn | 1.01 Bn | 80.50 Mn |
| 10 | Lamb Weston Holdings | 7.60 Bn | 7.22 Bn | 266.50 Mn | 29.10 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2015 | 44.01 Bn |
| Dec 31, 2014 | 43.31 Bn |
| Dec 31, 2013 | 49.78 Bn |
| Dec 31, 2012 | 48.44 Bn |
| Dec 31, 2011 | 44.73 Bn |
| Dec 31, 2010 | 1.23 Bn |
| Sep 30, 2010 | 9.61 Bn |
| Jun 30, 2010 | -6.30 Bn |
| Mar 31, 2010 | 1.46 Bn |
| Dec 31, 2009 | 1.32 Bn |
| Sep 30, 2009 | 1.60 Bn |
| Jun 30, 2009 | 1.13 Bn |
| Mar 31, 2009 | 1.05 Bn |
API Access
Unilever Net Income 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=net-income&ticker=UL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "net-income", "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=net-income&ticker=UL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();