Birks (BGICF) Income After Tax (2009 - 2025)
Birks (BGICF) posted Profit After Tax of -$4.07 million for FY2026 (year ended Mar 28, 2026), compared with -$10.97 million in FY2025.
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Analysis
Birks (BGICF) Income After Tax (2009 - 2025) Analysis & Trends
Since FY2010, Birks has reported Profit After Tax for 17 fiscal years.
- The FY2026 figure stands as the highest annual Profit After Tax since FY2022.
- Business Quant data shows BGICF's Profit After Tax at -$10.97 million in FY2025, -$5.04 million in FY2024, -$9.39 million in FY2023 and $1.29 million in FY2022.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Income After Tax (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 57.42 Bn | 23.62 Bn | 4.80 Bn | 712.00 Mn |
| 2 | Tapestry | 26.82 Bn | 22.74 Bn | 1.49 Bn | 360.00 Mn |
| 3 | Ralph Lauren | 24.00 Bn | 15.93 Bn | 1.63 Bn | 296.60 Mn |
| 4 | Deckers Outdoor | 12.00 Bn | 5.20 Bn | 895.11 Mn | 313.14 Mn |
| 5 | Lululemon Athletica | 11.76 Bn | 6.01 Bn | 1.46 Bn | 329.22 Mn |
| 6 | Levi Strauss | 9.42 Bn | 6.00 Bn | 1.07 Bn | 168.60 Mn |
| 7 | V F | 8.17 Bn | 4.76 Bn | 1.49 Bn | 285.25 Mn |
| 8 | Crocs | 7.38 Bn | 6.78 Bn | 689.73 Mn | 216.76 Mn |
| 9 | Birkenstock Holding | 6.85 Bn | 5.17 Bn | 493.89 Mn | 127.38 Mn |
| 10 | Birks | 3.94 Mn | -2.13 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 27, 2025 | -1.32 Mn |
| Sep 28, 2024 | -1.22 Mn |
| Sep 23, 2023 | -2.86 Mn |
| Sep 24, 2022 | -2.94 Mn |
| Sep 25, 2021 | 990,000.00 |
| Sep 26, 2020 | -1.39 Mn |
| Sep 28, 2019 | -117,000.00 |
| Sep 23, 2017 | -5.75 Mn |
| Sep 24, 2016 | -4.21 Mn |
| Sep 26, 2015 | 830,000.00 |
| Sep 27, 2014 | -4.00 Mn |
| Sep 28, 2013 | -7.74 Mn |
| Sep 29, 2012 | -5.69 Mn |
| Sep 24, 2011 | -5.60 Mn |
| Sep 25, 2010 | -9.54 Mn |
| Sep 26, 2009 | -12.92 Mn |
| Mar 28, 2009 | -14.37 Mn |
API Access
Birks Income After Tax 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=profit-after-tax&ticker=BGICF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "profit-after-tax", "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=profit-after-tax&ticker=BGICF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();