Unilever (UL) Retained Earnings (2009 - 2019)
Unilever's Retained Earnings was $20.16 billion in Q4 2019, down 32.1% from $29.7 billion a year earlier.
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Analysis
Unilever (UL) Retained Earnings (2009 - 2019) Analysis & Trends
At the end of FY2019, Retained Earnings at Unilever came in at $20.4 billion, down 33.7% from FY2018.
- Retained Earnings shows a five-year compound annual growth rate of -5.7% (FY2014 to FY2019).
- In earlier years, Retained Earnings was $30.74 billion in FY2018 (+2.1%), $30.09 billion in FY2017 (+17.3%), $25.66 billion in FY2016 (+3.5%) and $24.79 billion in FY2015 (-9.3%).
- The Q4 2019 figure marks the lowest quarterly Retained Earnings since Q2 2014.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Retained Earnings (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 132.43 Bn | 107.80 Bn | - | - |
| 2 | Mondelez International | 73.80 Bn | 67.12 Bn | 3.99 Bn | 37.23 Bn |
| 3 | Hershey | 31.86 Bn | 28.11 Bn | 1.26 Bn | 5.81 Bn |
| 4 | Kraft Heinz | 26.96 Bn | 13.49 Bn | 2.03 Bn | -9.29 Bn |
| 5 | General Mills | 17.20 Bn | 14.85 Bn | 1.49 Bn | 20.58 Bn |
| 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 | 4.84 Bn |
| 8 | Hormel Foods | 10.97 Bn | 7.66 Bn | 471.52 Mn | 7.43 Bn |
| 9 | Chewy | 7.31 Bn | 4.59 Bn | 1.01 Bn | -1.18 Bn |
| 10 | Conagra Brands | 6.43 Bn | 5.74 Bn | 618.70 Mn | 4.26 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2019 | 20.16 Bn |
| Dec 31, 2018 | 29.70 Bn |
| Jun 30, 2018 | 32.82 Bn |
| Dec 31, 2017 | 31.38 Bn |
| Dec 31, 2016 | 25.03 Bn |
| Dec 31, 2015 | 24.79 Bn |
| Dec 31, 2014 | 25.70 Bn |
| Jun 30, 2014 | -59.43 Bn |
| Dec 31, 2013 | 27.86 Bn |
| Jun 30, 2013 | -52.33 Bn |
| Dec 31, 2012 | 27.19 Bn |
| Jun 30, 2012 | -51.49 Bn |
| Dec 31, 2011 | -51.54 Bn |
| Jun 30, 2011 | -56.45 Bn |
| Dec 31, 2010 | -49.30 Bn |
| Jun 30, 2010 | -44.19 Bn |
| Dec 31, 2009 | 25.62 Bn |
API Access
Unilever Retained Earnings 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=retained-earnings&ticker=UL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "retained-earnings", "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=retained-earnings&ticker=UL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();