Birks (BGICF) Net Margin (2009 - 2025)
Birks (BGICF) recorded Net Margin of -1.65% in FY2026 (year ended Mar 28, 2026), up 5.56 percentage points from -7.21% in FY2025.
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Analysis
Birks (BGICF) Net Margin (2009 - 2025) Analysis & Trends
Starting with FY2010, Birks' Net Margin history includes 17 fiscal years.
- Annual Net Margin has a five-year change of +2.43 percentage points (FY2021 to FY2026).
- The FY2026 figure is the highest annual Net Margin since FY2022.
- Per Business Quant data, BGICF's Net Margin was -7.21% in FY2025 (-4.71 pp), -2.50% in FY2024 (+2.06 pp), -4.56% in FY2023 (-5.27 pp) and 0.71% in FY2022 (+4.79 pp).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 57.55 Bn | 23.75 Bn | 4.80 Bn | 6.35% |
| 2 | Tapestry | 27.52 Bn | 23.48 Bn | 1.56 Bn | 18.53% |
| 3 | Ralph Lauren | 23.85 Bn | 15.77 Bn | 1.63 Bn | 13.52% |
| 4 | Lululemon Athletica | 12.34 Bn | 6.60 Bn | 1.46 Bn | 13.63% |
| 5 | Deckers Outdoor | 12.04 Bn | 5.24 Bn | 895.11 Mn | 21.15% |
| 6 | Levi Strauss | 9.26 Bn | 5.84 Bn | 1.07 Bn | 10.47% |
| 7 | V F | 8.01 Bn | 4.61 Bn | 1.49 Bn | 10.58% |
| 8 | Crocs | 7.52 Bn | 6.93 Bn | 689.73 Mn | 20.79% |
| 9 | Birkenstock Holding | 6.90 Bn | 5.23 Bn | 493.89 Mn | 15.23% |
| 10 | Birks | 3.94 Mn | -1.21 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 27, 2025 | -6.91% |
| Sep 28, 2024 | -5.25% |
| Sep 23, 2023 | -2.26% |
| Sep 25, 2021 | 1.17% |
| Sep 23, 2017 | -8.52% |
| Sep 24, 2016 | 1.20% |
| Sep 28, 2013 | -6.08% |
| Sep 29, 2012 | -4.56% |
| Sep 24, 2011 | -4.31% |
| Sep 25, 2010 | -8.58% |
| Sep 26, 2009 | -12.64% |
| Mar 28, 2009 | -29.17% |
API Access
Birks Net 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=net-margin&ticker=BGICF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "net-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=net-margin&ticker=BGICF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();