Fossil (FOSL) Land & Improvements (2011)
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Analysis
Fossil (FOSL) Land & Improvements (2011) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Land & Improvements (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 57.42 Bn | 23.62 Bn | 4.80 Bn | - |
| 2 | Tapestry | 26.82 Bn | 22.74 Bn | 1.49 Bn | - |
| 3 | Ralph Lauren | 24.00 Bn | 15.93 Bn | 1.63 Bn | 56.70 Mn |
| 4 | Deckers Outdoor | 12.00 Bn | 5.20 Bn | 895.11 Mn | - |
| 5 | Lululemon Athletica | 11.76 Bn | 6.01 Bn | 1.46 Bn | 77.31 Mn |
| 6 | Levi Strauss | 9.42 Bn | 6.00 Bn | 1.07 Bn | - |
| 7 | V F | 8.17 Bn | 4.76 Bn | 1.49 Bn | - |
| 8 | Crocs | 7.38 Bn | 6.78 Bn | 689.73 Mn | - |
| 9 | Birkenstock Holding | 6.85 Bn | 5.17 Bn | 493.89 Mn | - |
| 10 | Fossil | 465.17 Mn | 465.17 Mn | - | - |
API Access
Fossil Land & Improvements 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=land-and-improvements&ticker=FOSL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "land-and-improvements", "ticker": "FOSL", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=land-and-improvements&ticker=FOSL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();