Unilever (UL) Operating Margin (2009 - 2010)
Unilever's Operating Margin came in at 17.89% for FY2025, down 0.02 percentage points from 17.91% in FY2024.
Analysis
Unilever (UL) Operating Margin (2009 - 2010) Analysis & Trends
Going back to FY2015, Unilever's Operating Margin data covers 11 years.
- Operating Margin carries a five-year change of +1.53 percentage points (FY2020 to FY2025).
- The FY2025 figure represents the lowest annual Operating Margin since FY2021.
- Per Business Quant, earlier years put Operating Margin at 17.91% in FY2024 (-0.97 pp), 18.88% in FY2023 (+0.98 pp), 17.90% in FY2022 (+1.31 pp) and 16.59% in FY2021 (+0.22 pp).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Operating Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 146.14 Bn | 97.59 Bn | - | - |
| 2 | Mondelez International | 83.50 Bn | 76.77 Bn | 3.99 Bn | 20.80% |
| 3 | Hershey | 35.36 Bn | 31.61 Bn | 1.26 Bn | 23.06% |
| 4 | Kraft Heinz | 29.75 Bn | 16.17 Bn | 2.03 Bn | -102.70% |
| 5 | General Mills | 18.79 Bn | 16.43 Bn | 1.49 Bn | 14.43% |
| 6 | J M Smucker | 14.19 Bn | 13.98 Bn | 979.60 Mn | 23.05% |
| 7 | Mccormick | 13.05 Bn | 12.11 Bn | 794.90 Mn | 10.72% |
| 8 | Hormel Foods | 11.70 Bn | 8.37 Bn | 471.52 Mn | 3.75% |
| 9 | Chewy | 9.05 Bn | 6.34 Bn | 1.01 Bn | 2.76% |
| 10 | Lamb Weston Holdings | 7.60 Bn | 7.23 Bn | 266.50 Mn | 4.92% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2010 | 13.50% |
| Sep 30, 2010 | 15.69% |
| Jun 30, 2010 | 13.85% |
| Mar 31, 2010 | 14.18% |
| Dec 31, 2009 | 10.06% |
| Sep 30, 2009 | 14.65% |
| Jun 30, 2009 | 12.62% |
| Mar 31, 2009 | 12.98% |
API Access
Unilever Operating Margin 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-margin&ticker=UL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-margin", "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-margin&ticker=UL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();