Unilever (UNLYF) Shares Outstanding (Diluted) (2014 - 2026)
Unilever's Shares Outstanding (Diluted) came in at 2.2 billion for Q2 2026, down 12.4% from 2.51 billion a year earlier.
Analysis
Unilever (UNLYF) Shares Outstanding (Diluted) (2014 - 2026) Analysis & Trends
Going back to Q4 2015, Unilever's Shares Outstanding (Diluted) data covers 22 quarters.
- Shares Outstanding (Diluted) has declined in each of the last five years, with a five-year compound annual growth rate of -3.5% (FY2020 to FY2025).
- Going back by year, Shares Outstanding (Diluted) was 2.51 billion in FY2024 (-1.0%), 2.53 billion in FY2023 (-1.1%), 2.56 billion in FY2022 (-1.9%) and 2.61 billion in FY2021 (-0.8%).
- The five-year range for quarterly Shares Outstanding (Diluted) is 2.2 billion (Q4 2025) to 2.61 billion (Q2 2022).
- Over the past five years, the year-over-year decline in Shares Outstanding (Diluted) ranged from 0.8% (Q2 2022) to 12.4% (Q4 2025).
Peer Set
Peer Comparison
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.20 Bn |
| Dec 31, 2025 | 2.20 Bn |
| Jun 30, 2025 | 2.51 Bn |
| Dec 31, 2024 | 2.51 Bn |
| Jun 30, 2024 | 2.53 Bn |
| Dec 31, 2023 | 2.53 Bn |
| Jun 30, 2023 | 2.56 Bn |
| Dec 31, 2022 | 2.56 Bn |
| Jun 30, 2022 | 2.61 Bn |
| Dec 31, 2021 | 2.61 Bn |
| Jun 30, 2021 | 2.63 Bn |
| Dec 31, 2020 | 2.63 Bn |
| Jun 30, 2020 | 2.63 Bn |
| Dec 31, 2019 | 2.63 Bn |
| Jun 30, 2019 | 2.69 Bn |
| Dec 31, 2018 | 2.69 Bn |
| Jun 30, 2018 | 2.81 Bn |
| Dec 31, 2017 | 2.81 Bn |
| Jun 30, 2017 | 2.85 Bn |
| Dec 31, 2016 | 2.85 Bn |
API Access
Unilever Shares Outstanding (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=shares-outstanding-diluted&ticker=UNLYF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "ticker": "UNLYF", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=shares-outstanding-diluted&ticker=UNLYF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();