Unilever (UL) Operating Income (2009 - 2015)
Unilever (UL) posted Operating Income of $10.21 billion for FY2025, up 0.4% from $10.17 billion in FY2024.
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Analysis
Unilever (UL) Operating Income (2009 - 2015) Analysis & Trends
Since FY2009, Unilever has reported Operating Income for 17 years.
- Annual Operating Income shows a five-year compound annual growth rate of 1.5% (FY2020 to FY2025).
- Annual Operating Income has run from a low of $10.17 billion in FY2024 to a high of $11.34 billion in FY2022 over five years.
- Business Quant data shows UL's Operating Income at $10.17 billion in FY2024 (-3.6%), $10.56 billion in FY2023 (-6.9%), $11.34 billion in FY2022 (+10.1%) and $10.3 billion in FY2021 (+8.6%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Op. Inc (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 132.43 Bn | 107.80 Bn | - | - |
| 2 | Mondelez International | 73.80 Bn | 67.12 Bn | 3.99 Bn | 1.95 Bn |
| 3 | Hershey | 31.86 Bn | 28.11 Bn | 1.26 Bn | 642.64 Mn |
| 4 | Kraft Heinz | 26.96 Bn | 13.49 Bn | 2.03 Bn | -6.43 Bn |
| 5 | General Mills | 17.20 Bn | 14.85 Bn | 1.49 Bn | 633.60 Mn |
| 6 | J M Smucker | 12.70 Bn | 12.49 Bn | 979.60 Mn | 511.60 Mn |
| 7 | Mccormick | 12.49 Bn | 12.36 Bn | 778.20 Mn | 276.40 Mn |
| 8 | Hormel Foods | 10.97 Bn | 7.66 Bn | 471.52 Mn | 110.90 Mn |
| 9 | Chewy | 7.31 Bn | 4.59 Bn | 1.01 Bn | 92.00 Mn |
| 10 | Conagra Brands | 6.43 Bn | 5.74 Bn | 618.70 Mn | 268.40 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2015 | 43.78 Bn |
| Dec 31, 2014 | 43.19 Bn |
| Dec 31, 2013 | 49.63 Bn |
| Dec 31, 2012 | 48.19 Bn |
| Dec 31, 2011 | 44.73 Bn |
| Dec 31, 2010 | 1.96 Bn |
| Sep 30, 2010 | 2.34 Bn |
| Jun 30, 2010 | 2.08 Bn |
| Mar 31, 2010 | 1.99 Bn |
| Dec 31, 2009 | 1.44 Bn |
| Sep 30, 2009 | 2.14 Bn |
| Jun 30, 2009 | 1.80 Bn |
| Mar 31, 2009 | 1.61 Bn |
API Access
Unilever Operating 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=operating-income&ticker=UL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-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=operating-income&ticker=UL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();