Unilever (UL) Price to Book (2015 - 2026)
Unilever's (UL) Price to Book was 6.16 for Q2 2026, down 20.1% from 7.71 a year earlier.
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Analysis
Unilever (UL) Price to Book (2015 - 2026) Analysis & Trends
For FY2025, Price to Book at Unilever was 7.18, up 8.7% from FY2024.
- By year, Price to Book came in at 6.60 in FY2024 (+7.8%), 6.13 in FY2023 (-6.0%), 6.52 in FY2022 (-4.4%) and 6.82 in FY2021 (-23.1%).
- The Q2 2026 figure ranks as the lowest quarterly Price to Book since Q4 2023.
- Year over year, Price to Book gained in three of the last four quarters, with growth averaging 3.8%.
- The high point for year-over-year Price to Book in five years was Q2 2025 (growth of 22.4%); the low point was Q2 2022 (a decline of 24.8%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Unilever | 132.43 Bn | 107.80 Bn | - |
| 2 | Mondelez International | 73.80 Bn | 67.12 Bn | 3.99 Bn |
| 3 | Hershey | 31.86 Bn | 28.11 Bn | 1.26 Bn |
| 4 | Kraft Heinz | 26.96 Bn | 13.49 Bn | 2.03 Bn |
| 5 | General Mills | 17.20 Bn | 14.85 Bn | 1.49 Bn |
| 6 | J M Smucker | 12.70 Bn | 12.49 Bn | 979.60 Mn |
| 7 | Mccormick | 12.49 Bn | 12.36 Bn | 778.20 Mn |
| 8 | Hormel Foods | 10.97 Bn | 7.66 Bn | 471.52 Mn |
| 9 | Chewy | 7.31 Bn | 4.59 Bn | 1.01 Bn |
| 10 | Conagra Brands | 6.43 Bn | 5.74 Bn | 618.70 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 6.16 |
| Dec 31, 2025 | 6.97 |
| Jun 30, 2025 | 7.71 |
| Dec 31, 2024 | 6.69 |
| Jun 30, 2024 | 6.30 |
| Dec 31, 2023 | 6.16 |
| Jun 30, 2023 | 6.47 |
| Dec 31, 2022 | 6.73 |
| Jun 30, 2022 | 5.56 |
| Dec 31, 2021 | 7.05 |
| Jun 30, 2021 | 7.39 |
| Dec 31, 2020 | 8.49 |
| Jun 30, 2020 | 8.06 |
| Dec 31, 2019 | 10.96 |
| Jun 30, 2019 | 12.44 |
| Dec 31, 2018 | 11.42 |
| Jun 30, 2018 | 12.06 |
| Dec 31, 2017 | 10.31 |
| Jun 30, 2017 | 9.36 |
| Dec 31, 2016 | 7.10 |
API Access
Unilever Price to Book 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=price-to-book&ticker=UL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-book", "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=price-to-book&ticker=UL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();