Birks (BGICF) Gross Margin (2009 - 2017)
Birks' Gross Margin came in at 40.03% for fiscal Q2 2018 (quarter ended Sep 23, 2017), up 1.86 percentage points from 38.18% a year earlier.
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Analysis
Birks (BGICF) Gross Margin (2009 - 2017) Analysis & Trends
For FY2014 (ended Mar 29, 2014), Birks' Gross Margin was 40.78%, down 2.32 percentage points from FY2013.
- Gross Margin carries a five-year change of +4.67 percentage points (FY2009 to FY2014).
- Going back by fiscal year, Gross Margin was 43.10% in FY2013 (-0.97 pp), 44.07% in FY2012 (+1.14 pp), 42.93% in FY2011 (+1.90 pp) and 41.03% in FY2010 (+4.91 pp).
- The fiscal Q2 2018 figure represents the highest quarterly Gross Margin since fiscal Q2 2014.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Gross Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 55.65 Bn | 21.85 Bn | 4.80 Bn | 42.79% |
| 2 | Tapestry | 23.81 Bn | 19.77 Bn | 1.56 Bn | 83.32% |
| 3 | Ralph Lauren | 22.89 Bn | 14.98 Bn | 1.44 Bn | 73.69% |
| 4 | Deckers Outdoor | 12.28 Bn | 5.16 Bn | - | - |
| 5 | Lululemon Athletica | 10.95 Bn | 5.21 Bn | 1.46 Bn | 60.52% |
| 6 | Levi Strauss | 8.18 Bn | 4.76 Bn | 1.07 Bn | 66.21% |
| 7 | V F | 6.76 Bn | 3.38 Bn | 917.04 Mn | 54.93% |
| 8 | Gildan Activewear | 6.52 Bn | 5.44 Bn | 459.76 Mn | 29.05% |
| 9 | Birkenstock Holding | 6.05 Bn | 4.37 Bn | 493.89 Mn | 59.05% |
| 10 | Birks | 6.90 Mn | 1.53 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 23, 2017 | 40.03% |
| Sep 24, 2016 | 38.18% |
| Sep 28, 2013 | 40.94% |
| Sep 29, 2012 | 43.18% |
| Sep 24, 2011 | 44.40% |
| Sep 25, 2010 | 42.67% |
| Sep 26, 2009 | 42.53% |
| Mar 28, 2009 | 36.12% |
API Access
Birks Gross Margin 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=gross-margin&ticker=BGICF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "gross-margin", "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=gross-margin&ticker=BGICF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();