Unilever (UL) EPS (Diluted) (2009 - 2015)
Unilever (UL) reported EPS (Diluted) of $2.92 for FY2025, up 24.7% from $2.34 in FY2024.
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Analysis
Unilever (UL) EPS (Diluted) (2009 - 2015) Analysis & Trends
Dating back to FY2015, Unilever's EPS (Diluted) record includes 11 years.
- EPS (Diluted) has a five-year compound annual growth rate of 3.8% (FY2020 to FY2025).
- The FY2025 figure ranks as the highest annual EPS (Diluted) since FY2022.
- According to Business Quant data, EPS (Diluted) came in at $2.34 in FY2024 (-8.6%), $2.56 in FY2023 (-18.5%), $3.15 in FY2022 (+1.5%) and $3.10 in FY2021 (+28.0%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EPS (Diluted) (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 143.16 Bn | 94.62 Bn | - | - |
| 2 | Mondelez International | 81.66 Bn | 74.93 Bn | 3.99 Bn | 1.20 |
| 3 | Hershey | 34.64 Bn | 30.88 Bn | 1.26 Bn | 1.78 |
| 4 | Kraft Heinz | 28.47 Bn | 14.89 Bn | 2.03 Bn | -4.60 |
| 5 | General Mills | 18.08 Bn | 15.73 Bn | 1.49 Bn | 0.74 |
| 6 | J M Smucker | 13.89 Bn | 13.67 Bn | 979.60 Mn | 3.03 |
| 7 | Mccormick | 12.71 Bn | 11.78 Bn | 794.90 Mn | 0.36 |
| 8 | Hormel Foods | 11.38 Bn | 8.05 Bn | 471.52 Mn | 0.11 |
| 9 | Chewy | 8.68 Bn | 5.96 Bn | 1.01 Bn | 0.20 |
| 10 | Lamb Weston Holdings | 7.38 Bn | 7.01 Bn | 266.50 Mn | 0.21 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2015 | -0.12 |
| Dec 31, 2014 | 0.23 |
| Dec 31, 2013 | 0.11 |
| Dec 31, 2012 | -0.04 |
| Dec 31, 2011 | 0.06 |
| Dec 31, 2010 | 6.77 |
| Sep 30, 2010 | 3.19 |
| Jun 30, 2010 | -2.13 |
| Mar 31, 2010 | 0.46 |
| Dec 31, 2009 | 0.42 |
| Sep 30, 2009 | 0.52 |
| Jun 30, 2009 | 0.36 |
| Mar 31, 2009 | 0.33 |
API Access
Unilever EPS (Diluted) 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=eps-diluted&ticker=UL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "eps-diluted", "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=eps-diluted&ticker=UL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();