Unilever (UL) Return on Equity [ROE] (2009 - 2015)
Unilever's Return on Equity [ROE] was 51.08% in FY2025, up 21.67 percentage points from 29.41% in FY2024.
Analysis
Unilever (UL) Return on Equity [ROE] (2009 - 2015) Analysis & Trends
From FY2010 onward, Unilever has reported Return on Equity [ROE] for 16 years.
- Return on Equity [ROE] shows a five-year change of +12.25 percentage points (FY2020 to FY2025).
- The FY2025 figure marks the highest annual Return on Equity [ROE] since FY2018.
- Per Business Quant data, Return on Equity [ROE] in earlier years was 29.41% in FY2024 (-4.66 pp), 34.07% in FY2023 (-3.62 pp), 37.70% in FY2022 (+1.69 pp) and 36.00% in FY2021 (-2.83 pp).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROE (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 132.43 Bn | 107.80 Bn | - | - |
| 2 | Mondelez International | 73.80 Bn | 67.12 Bn | 3.99 Bn | 13.45% |
| 3 | Hershey | 31.86 Bn | 28.11 Bn | 1.26 Bn | 32.04% |
| 4 | Kraft Heinz | 26.96 Bn | 13.49 Bn | 2.03 Bn | -8.70% |
| 5 | General Mills | 17.20 Bn | 14.85 Bn | 1.49 Bn | -12.01% |
| 6 | J M Smucker | 12.70 Bn | 12.49 Bn | 979.60 Mn | 4.06% |
| 7 | Mccormick | 12.49 Bn | 12.36 Bn | 778.20 Mn | 21.14% |
| 8 | Hormel Foods | 10.97 Bn | 7.66 Bn | 471.52 Mn | 4.33% |
| 9 | Chewy | 7.31 Bn | 4.59 Bn | 1.01 Bn | 68.88% |
| 10 | Conagra Brands | 6.43 Bn | 5.74 Bn | 618.70 Mn | -29.88% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2015 | 1,104.62% |
| Dec 31, 2014 | 1,040.28% |
| Dec 31, 2013 | 812.24% |
| Dec 31, 2012 | 511.08% |
| Dec 31, 2011 | 256.25% |
| Dec 31, 2010 | 52.60% |
| Sep 30, 2010 | 52.65% |
| Jun 30, 2010 | 48.15% |
| Mar 31, 2010 | 40.18% |
| Dec 31, 2009 | 34.16% |
| Sep 30, 2009 | -78.22% |
| Jun 30, 2009 | -79.03% |
| Mar 31, 2009 | -114.03% |
API Access
Unilever Return on Equity [ROE] 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=return-on-equity-%5Broe%5D&ticker=UL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-equity-[roe]", "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=return-on-equity-%5Broe%5D&ticker=UL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();