Birks (BGICF) Buildings (2009 - 2011)
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Analysis
Birks (BGICF) Buildings (2009 - 2011) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Nike | 57.55 Bn | 23.75 Bn | 4.80 Bn |
| 2 | Tapestry | 27.52 Bn | 23.48 Bn | 1.56 Bn |
| 3 | Ralph Lauren | 23.85 Bn | 15.77 Bn | 1.63 Bn |
| 4 | Lululemon Athletica | 12.34 Bn | 6.60 Bn | 1.46 Bn |
| 5 | Deckers Outdoor | 12.04 Bn | 5.24 Bn | 895.11 Mn |
| 6 | Levi Strauss | 9.26 Bn | 5.84 Bn | 1.07 Bn |
| 7 | V F | 8.01 Bn | 4.61 Bn | 1.49 Bn |
| 8 | Crocs | 7.52 Bn | 6.93 Bn | 689.73 Mn |
| 9 | Birkenstock Holding | 6.90 Bn | 5.23 Bn | 493.89 Mn |
| 10 | Birks | 3.94 Mn | -1.21 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 26, 2011 | 9.46 Mn |
| Mar 27, 2010 | 8.82 Mn |
| Mar 28, 2009 | 8.56 Mn |
API Access
Birks Buildings 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=buildings&ticker=BGICF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "buildings", "ticker": "BGICF", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=buildings&ticker=BGICF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();