Birks (BGICF) Revenue (2009 - 2023)
Birks' Revenue came in at $148.63 million for FY2026 (year ended Mar 28, 2026), up 16.2% from $127.93 million in FY2025.
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Analysis
Birks (BGICF) Revenue (2009 - 2023) Analysis & Trends
Going back to FY2010, Birks' Revenue data covers 17 fiscal years.
- Revenue carries a five-year compound annual growth rate of 0.8% (FY2021 to FY2026).
- The FY2026 figure represents the highest annual Revenue since FY2023.
- Per Business Quant, earlier fiscal years put Revenue at $127.93 million in FY2025 (-6.9%), $137.43 million in FY2024 (-15.7%), $162.95 million in FY2023 (-10.1%) and $181.34 million in FY2022 (+26.8%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Revenue (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 55.64 Bn | 21.85 Bn | 4.80 Bn | 11.21 Bn |
| 2 | Tapestry | 23.79 Bn | 19.74 Bn | 1.56 Bn | 1.88 Bn |
| 3 | Ralph Lauren | 22.93 Bn | 15.03 Bn | 1.44 Bn | 1.96 Bn |
| 4 | Deckers Outdoor | 12.27 Bn | 5.14 Bn | - | - |
| 5 | Lululemon Athletica | 10.96 Bn | 5.21 Bn | 1.46 Bn | 2.42 Bn |
| 6 | Levi Strauss | 8.17 Bn | 4.75 Bn | 1.07 Bn | 1.61 Bn |
| 7 | V F | 6.76 Bn | 3.38 Bn | 917.04 Mn | 1.67 Bn |
| 8 | Gildan Activewear | 6.49 Bn | 5.41 Bn | 459.76 Mn | 1.58 Bn |
| 9 | Birkenstock Holding | 6.05 Bn | 4.37 Bn | 493.89 Mn | 836.35 Mn |
| 10 | Birks | 6.90 Mn | 1.53 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 23, 2023 | 65.62 Mn |
| Sep 23, 2017 | 65.07 Mn |
| Sep 24, 2016 | 129.73 Mn |
| Sep 28, 2013 | 127.41 Mn |
| Sep 29, 2012 | 124.93 Mn |
| Sep 24, 2011 | 129.89 Mn |
| Sep 25, 2010 | 111.21 Mn |
| Sep 26, 2009 | 102.22 Mn |
| Mar 28, 2009 | 49.24 Mn |
API Access
Birks Revenue 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=revenue&ticker=BGICF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "revenue", "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=revenue&ticker=BGICF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();