Unilever (UL) Gains from Sales and Divestitures (2009 - 2017)
Unilever (UL) recorded Gains from Sales and Divestitures of -$468.38 million in FY2023, compared with -$2.46 billion in FY2022.
Powered by 
Analysis
Unilever (UL) Gains from Sales and Divestitures (2009 - 2017) Analysis & Trends
Starting with FY2009, Unilever's Gains from Sales and Divestitures history includes 15 years.
- Annual Gains from Sales and Divestitures has ranged from -$2.46 billion in FY2022 to $68.51 million in FY2020 over the past five years.
- Per Business Quant data, UL's Gains from Sales and Divestitures was -$2.46 billion in FY2022, $27.22 million in FY2021 (-60.3%), $68.51 million in FY2020 (+2.0%) and $67.2 million in FY2019.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Unilever | 130.23 Bn | 105.59 Bn | - |
| 2 | Mondelez International | 74.27 Bn | 67.59 Bn | 3.99 Bn |
| 3 | Hershey | 32.39 Bn | 28.63 Bn | 1.26 Bn |
| 4 | Kraft Heinz | 26.34 Bn | 12.87 Bn | 2.03 Bn |
| 5 | General Mills | 17.12 Bn | 14.77 Bn | 1.49 Bn |
| 6 | J M Smucker | 12.52 Bn | 12.30 Bn | 979.60 Mn |
| 7 | Mccormick | 12.03 Bn | 11.67 Bn | 794.90 Mn |
| 8 | Hormel Foods | 11.14 Bn | 7.83 Bn | 471.52 Mn |
| 9 | Chewy | 7.29 Bn | 4.58 Bn | 1.01 Bn |
| 10 | Conagra Brands | 6.38 Bn | 5.69 Bn | 618.70 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2017 | -350.87 Mn |
| Dec 31, 2014 | -1.82 Bn |
| Dec 31, 2013 | -986.79 Mn |
| Dec 31, 2012 | -306.07 Mn |
| Dec 31, 2011 | -289.76 Mn |
| Dec 31, 2010 | -646.39 Mn |
| Mar 31, 2010 | -26.31 Mn |
| Dec 31, 2009 | 11.81 Mn |
| Sep 30, 2009 | 10.01 Mn |
| Mar 31, 2009 | 3.92 Mn |
API Access
Unilever Gains from Sales and Divestitures 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=gains-from-sales-and-divestitures&ticker=UL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "gains-from-sales-and-divestitures", "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=gains-from-sales-and-divestitures&ticker=UL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();