Birks (BGICF) Gains from Sales and Divestitures (2015)
Birks' Gains from Sales and Divestitures came in at $3.23 million for FY2016 (year ended Mar 26, 2016).
Analysis
Birks (BGICF) Gains from Sales and Divestitures (2015) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (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 |
| 4 | Deckers Outdoor | 12.00 Bn | 5.20 Bn | 895.11 Mn |
| 5 | Lululemon Athletica | 11.76 Bn | 6.01 Bn | 1.46 Bn |
| 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 | Birks | 3.94 Mn | -2.13 Mn | - |
API Access
Birks Gains from Sales and Divestitures 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=gains-from-sales-and-divestitures&ticker=BGICF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "gains-from-sales-and-divestitures", "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=gains-from-sales-and-divestitures&ticker=BGICF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();