Birks (BGICF) Tax Provisions (2009 - 2016)
Birks' Tax Provisions came in at $184,000 for fiscal Q2 2017 (quarter ended Sep 24, 2016), up 268.0% from $50,000 a year earlier.
Birks (BGICF) Tax Provisions (2009 - 2016) Analysis & Trends
Over the trailing twelve months to Sep 24, 2016, Birks reported Tax Provisions of $272,000, up 145.0% year-over-year; for FY2016 (ended Mar 25, 2016), it came in at $50,000.
- Tax Provisions carries a five-year compound annual growth rate of 15.8% (FY2011 to FY2016).
- Going back by fiscal year, Tax Provisions was $18,000 in FY2014 (-10.0%), $20,000 in FY2013 (-13.0%) and $23,000 in FY2012 (-4.2%).
- The fiscal Q2 2017 figure represents the highest quarterly Tax Provisions in data going back to fiscal Q4 2009.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Taxes (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 55.71 Bn | 21.91 Bn | 4.80 Bn | 209.00 Mn |
| 2 | Tapestry | 23.90 Bn | 19.86 Bn | 1.56 Bn | 81.00 Mn |
| 3 | Ralph Lauren | 22.88 Bn | 14.97 Bn | 1.44 Bn | 80.00 Mn |
| 4 | Deckers Outdoor | 12.35 Bn | 5.22 Bn | - | - |
| 5 | Lululemon Athletica | 11.00 Bn | 5.25 Bn | 1.46 Bn | 138.13 Mn |
| 6 | Levi Strauss | 8.14 Bn | 4.72 Bn | 1.07 Bn | 51.50 Mn |
| 7 | V F | 6.80 Bn | 3.42 Bn | 917.04 Mn | -9.74 Mn |
| 8 | Gildan Activewear | 6.54 Bn | 5.46 Bn | 459.76 Mn | 16.21 Mn |
| 9 | Birkenstock Holding | 6.14 Bn | 4.46 Bn | 493.89 Mn | 58.65 Mn |
| 10 | Birks | 7.69 Mn | 2.31 Mn | - | - |
Historic Data
| Date | Value |
|---|---|
| Sep 24, 2016 | 184,000.00 |
| Sep 26, 2015 | 50,000.00 |
| Sep 28, 2013 | 18,000.00 |
| Sep 29, 2012 | 20,000.00 |
| Sep 24, 2011 | 23,000.00 |
| Sep 25, 2010 | 24,000.00 |
| Sep 26, 2009 | -2,000.00 |
| Mar 28, 2009 | -5,000.00 |
Birks Tax Provisions 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=tax-provisions&ticker=BGICF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "tax-provisions", "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=tax-provisions&ticker=BGICF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();