Birks (BGICF) Retained Earnings (2009 - 2026)
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Analysis
Birks (BGICF) Retained Earnings (2009 - 2026) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Retained Earnings (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 55.74 Bn | 21.94 Bn | 4.80 Bn | -56.00 Mn |
| 2 | Tapestry | 23.60 Bn | 19.56 Bn | 1.56 Bn | -3.21 Bn |
| 3 | Ralph Lauren | 22.89 Bn | 14.99 Bn | 1.44 Bn | 8.51 Bn |
| 4 | Deckers Outdoor | 12.31 Bn | 5.19 Bn | - | 2.25 Bn |
| 5 | Lululemon Athletica | 10.93 Bn | 5.18 Bn | 1.46 Bn | 4.36 Bn |
| 6 | Levi Strauss | 8.10 Bn | 4.68 Bn | 1.07 Bn | 1.96 Bn |
| 7 | V F | 6.75 Bn | 3.37 Bn | 917.04 Mn | -1.04 Bn |
| 8 | Gildan Activewear | 6.45 Bn | 5.37 Bn | 459.76 Mn | 902.37 Mn |
| 9 | Birkenstock Holding | 6.05 Bn | 4.37 Bn | 493.89 Mn | 1.15 Bn |
| 10 | Birks | 6.90 Mn | 1.53 Mn | - | -102.29 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 28, 2026 | -102.29 Mn |
| Mar 29, 2025 | -96.66 Mn |
| Mar 30, 2024 | -125.48 Mn |
| Mar 25, 2023 | -120.85 Mn |
| Mar 26, 2022 | -113.41 Mn |
| Mar 27, 2021 | -114.70 Mn |
| Mar 28, 2020 | -108.86 Mn |
| Sep 28, 2019 | -100.67 Mn |
| Mar 30, 2019 | -98.47 Mn |
| Sep 29, 2018 | -90.59 Mn |
| Mar 31, 2018 | -79.79 Mn |
| Mar 25, 2017 | -73.92 Mn |
| Sep 24, 2016 | -80.84 Mn |
| Mar 26, 2016 | -78.85 Mn |
| Sep 26, 2015 | -83.46 Mn |
| Mar 28, 2015 | -84.29 Mn |
| Sep 27, 2014 | -79.66 Mn |
| Mar 29, 2014 | -75.66 Mn |
| Sep 28, 2013 | -77.60 Mn |
| Mar 30, 2013 | -69.85 Mn |
API Access
Birks Retained Earnings 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=retained-earnings&ticker=BGICF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "retained-earnings", "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=retained-earnings&ticker=BGICF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();