Unilever (UL) Selling, General & Administrative (2011 - 2015)
Unilever's Selling, General & Administrative was -$17.52 billion in FY2024, compared with -$16.49 billion in FY2023.
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Analysis
Unilever (UL) Selling, General & Administrative (2011 - 2015) Analysis & Trends
From FY2011 onward, Unilever has reported Selling, General & Administrative for 11 years.
- The FY2024 figure marks the lowest annual Selling, General & Administrative since FY2013.
- Per Business Quant data, Selling, General & Administrative in earlier years was -$16.49 billion in FY2023 and -$15.27 billion in FY2022.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 132.43 Bn | 107.80 Bn | - | - |
| 2 | Mondelez International | 73.80 Bn | 67.12 Bn | 3.99 Bn | 2.00 Bn |
| 3 | Hershey | 31.86 Bn | 28.11 Bn | 1.26 Bn | 620.55 Mn |
| 4 | Kraft Heinz | 26.96 Bn | 13.49 Bn | 2.03 Bn | 8.46 Bn |
| 5 | General Mills | 17.20 Bn | 14.85 Bn | 1.49 Bn | 832.20 Mn |
| 6 | J M Smucker | 12.70 Bn | 12.49 Bn | 979.60 Mn | 410.50 Mn |
| 7 | Mccormick | 12.49 Bn | 12.36 Bn | 778.20 Mn | 441.80 Mn |
| 8 | Hormel Foods | 10.97 Bn | 7.66 Bn | 471.52 Mn | 323.50 Mn |
| 9 | Chewy | 7.31 Bn | 4.59 Bn | 1.01 Bn | 704.40 Mn |
| 10 | Conagra Brands | 6.43 Bn | 5.74 Bn | 618.70 Mn | 350.30 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2015 | -16.39 Bn |
| Dec 31, 2014 | -15.08 Bn |
| Dec 31, 2013 | -17.99 Bn |
| Dec 31, 2012 | -17.92 Bn |
| Dec 31, 2011 | -16.33 Bn |
API Access
Unilever Selling, General & Administrative 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=selling-general-and-administrative&ticker=UL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=UL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();