Unilever (UL) Prepaid Assets (2013 - 2024)
Unilever (UL) recorded Prepaid Assets of $1.07 million in Q4 2024, down 0.7% from $1.08 million a year earlier.
Analysis
Unilever (UL) Prepaid Assets (2013 - 2024) Analysis & Trends
At the end of FY2024, Unilever reported Prepaid Assets of $1.08 million, up 0.1% from FY2023.
- Annual Prepaid Assets has a four-year compound annual growth rate of -80.5% (FY2020 to FY2024).
- Across earlier years, Prepaid Assets came in at $1.08 million in FY2023, $2.37 million in FY2021 (-99.7%) and $747.86 million in FY2020.
- The Q4 2024 figure is the lowest quarterly Prepaid Assets in data going back to Q4 2013.
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 |
|---|---|
| Dec 31, 2024 | 1.07 Mn |
| Dec 31, 2023 | 1.08 Mn |
| Jun 30, 2022 | 5.34 Mn |
| Dec 31, 2021 | 2.29 Mn |
| Dec 31, 2020 | 780.95 Mn |
| Jun 30, 2017 | 11.06 Bn |
| Dec 31, 2016 | 9.14 Bn |
| Jun 30, 2016 | 9.77 Bn |
| Dec 31, 2015 | 8.39 Bn |
| Jun 30, 2015 | 9.07 Bn |
| Dec 31, 2014 | 8.80 Bn |
| Jun 30, 2014 | 11.75 Bn |
| Dec 31, 2013 | 9.63 Bn |
API Access
Unilever Prepaid Assets 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=prepaid-assets&ticker=UL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "prepaid-assets", "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=prepaid-assets&ticker=UL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();