Unilever (UL) Return on Capital Employed [ROCE] (2009 - 2015)
Unilever's Return on Capital Employed [ROCE] was 17.46% in FY2025, down 0.53 percentage points from 17.99% in FY2024.
Analysis
Unilever (UL) Return on Capital Employed [ROCE] (2009 - 2015) Analysis & Trends
From FY2009 onward, Unilever has reported Return on Capital Employed [ROCE] for 17 years.
- Return on Capital Employed [ROCE] has now declined for three consecutive years, with a five-year change of -0.99 percentage points (FY2020 to FY2025).
- The FY2025 figure marks the lowest annual Return on Capital Employed [ROCE] in data going back to FY2009.
- Per Business Quant data, Return on Capital Employed [ROCE] in earlier years was 17.99% in FY2024 (-0.76 pp), 18.75% in FY2023 (-0.58 pp), 19.33% in FY2022 (+0.17 pp) and 19.16% in FY2021 (+0.72 pp).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 129.94 Bn | 105.31 Bn | - | - |
| 2 | Mondelez International | 73.72 Bn | 67.04 Bn | 3.99 Bn | 8.97% |
| 3 | Hershey | 32.21 Bn | 28.45 Bn | 1.26 Bn | 20.49% |
| 4 | Kraft Heinz | 26.65 Bn | 13.18 Bn | 2.03 Bn | -4.62% |
| 5 | General Mills | 16.93 Bn | 14.59 Bn | 1.49 Bn | -0.89% |
| 6 | J M Smucker | 12.38 Bn | 12.16 Bn | 979.60 Mn | 5.93% |
| 7 | Mccormick | 11.89 Bn | 11.54 Bn | 794.90 Mn | 8.50% |
| 8 | Hormel Foods | 11.00 Bn | 7.68 Bn | 471.52 Mn | 5.01% |
| 9 | Chewy | 7.12 Bn | 4.40 Bn | 1.01 Bn | 24.87% |
| 10 | Conagra Brands | 6.31 Bn | 5.62 Bn | 618.70 Mn | -11.84% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2015 | 510.20% |
| Dec 31, 2014 | 476.82% |
| Dec 31, 2013 | 367.07% |
| Dec 31, 2012 | 235.86% |
| Dec 31, 2011 | 129.25% |
| Dec 31, 2010 | 7.16% |
| Sep 30, 2010 | 4.40% |
| Jun 30, 2010 | 4.36% |
| Mar 31, 2010 | 7.78% |
| Dec 31, 2009 | 6.00% |
| Sep 30, 2009 | 4.22% |
| Jun 30, 2009 | 4.92% |
| Mar 31, 2009 | 9.17% |
API Access
Unilever Return on Capital Employed [ROCE] 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-capital-employed-%5Broce%5D&ticker=UL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "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-capital-employed-%5Broce%5D&ticker=UL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();