Birks (BGICF) Gross Margin (2009 - 2025)
Birks' Gross Margin came in at 38.53% for FY2026 (year ended Mar 28, 2026), up 1.24 percentage points from 37.29% in FY2025.
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Analysis
Birks (BGICF) Gross Margin (2009 - 2025) Analysis & Trends
Going back to FY2010, Birks' Gross Margin data covers 17 fiscal years.
- Gross Margin carries a five-year change of -0.85 percentage points (FY2021 to FY2026).
- The five-year range for annual Gross Margin is 37.29% (FY2025) to 42.03% (FY2022).
- Per Business Quant, earlier fiscal years put Gross Margin at 37.29% in FY2025 (-2.41 pp), 39.70% in FY2024 (-2.01 pp), 41.71% in FY2023 (-0.33 pp) and 42.03% in FY2022 (+2.64 pp).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Gross Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 57.55 Bn | 23.75 Bn | 4.80 Bn | 42.79% |
| 2 | Tapestry | 27.52 Bn | 23.48 Bn | 1.56 Bn | 83.32% |
| 3 | Ralph Lauren | 23.85 Bn | 15.77 Bn | 1.63 Bn | 74.22% |
| 4 | Lululemon Athletica | 12.34 Bn | 6.60 Bn | 1.46 Bn | 60.52% |
| 5 | Deckers Outdoor | 12.04 Bn | 5.24 Bn | 895.11 Mn | 60.46% |
| 6 | Levi Strauss | 9.26 Bn | 5.84 Bn | 1.07 Bn | 66.21% |
| 7 | V F | 8.01 Bn | 4.61 Bn | 1.49 Bn | 55.38% |
| 8 | Crocs | 7.52 Bn | 6.93 Bn | 689.73 Mn | 66.16% |
| 9 | Birkenstock Holding | 6.90 Bn | 5.23 Bn | 493.89 Mn | 59.05% |
| 10 | Birks | 3.94 Mn | -1.21 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 27, 2025 | 39.16% |
| Sep 28, 2024 | 39.02% |
| Sep 23, 2023 | 54.96% |
| Sep 25, 2021 | 41.23% |
| 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();