Unilever (UL) Accumulated Expenses (2021)
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Analysis
Unilever (UL) Accumulated Expenses (2021) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Unilever | 145.91 Bn | 97.37 Bn | - |
| 2 | Mondelez International | 83.36 Bn | 76.63 Bn | 3.99 Bn |
| 3 | Hershey | 35.31 Bn | 31.55 Bn | 1.26 Bn |
| 4 | Kraft Heinz | 29.47 Bn | 15.89 Bn | 2.03 Bn |
| 5 | General Mills | 18.69 Bn | 16.33 Bn | 1.49 Bn |
| 6 | J M Smucker | 14.14 Bn | 13.93 Bn | 979.60 Mn |
| 7 | Mccormick | 12.98 Bn | 12.05 Bn | 794.90 Mn |
| 8 | Hormel Foods | 11.65 Bn | 8.32 Bn | 471.52 Mn |
| 9 | Chewy | 9.04 Bn | 6.33 Bn | 1.01 Bn |
| 10 | Lamb Weston Holdings | 7.50 Bn | 7.13 Bn | 266.50 Mn |
API Access
Unilever Accumulated Expenses 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=accumulated-expenses&ticker=UL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "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=accumulated-expenses&ticker=UL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();