Birks (BGICF) Return on Equity [ROE] (2009 - 2022)
Birks' Return on Equity [ROE] came in at 57.95% for FY2022 (year ended Mar 26, 2022), up 645.27 percentage points from -587.32% in FY2021.
Analysis
Birks (BGICF) Return on Equity [ROE] (2009 - 2022) Analysis & Trends
Going back to FY2010, Birks' Return on Equity [ROE] data covers 12 fiscal years.
- Return on Equity [ROE] carries a five-year change of +6.86 percentage points (FY2017 to FY2022).
- The FY2022 figure represents the highest annual Return on Equity [ROE] since FY2015.
- Per Business Quant, earlier fiscal years put Return on Equity [ROE] at -587.32% in FY2021 (-438.67 pp), -148.65% in FY2020 (-67.87 pp), -80.79% in FY2019 (-137.20 pp) and 56.41% in FY2018 (+5.32 pp).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROE (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 57.42 Bn | 23.62 Bn | 4.80 Bn | 20.56% |
| 2 | Tapestry | 26.82 Bn | 22.74 Bn | 1.49 Bn | 311.37% |
| 3 | Ralph Lauren | 24.00 Bn | 15.93 Bn | 1.63 Bn | 39.33% |
| 4 | Deckers Outdoor | 12.00 Bn | 5.20 Bn | 895.11 Mn | 46.67% |
| 5 | Lululemon Athletica | 11.76 Bn | 6.01 Bn | 1.46 Bn | 30.80% |
| 6 | Levi Strauss | 9.42 Bn | 6.00 Bn | 1.07 Bn | 25.16% |
| 7 | V F | 8.17 Bn | 4.76 Bn | 1.49 Bn | 19.47% |
| 8 | Crocs | 7.38 Bn | 6.78 Bn | 689.73 Mn | 48.68% |
| 9 | Birkenstock Holding | 6.85 Bn | 5.17 Bn | 493.89 Mn | 12.03% |
| 10 | Birks | 3.94 Mn | -2.13 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 24, 2022 | -40.34% |
| Sep 28, 2019 | -32.03% |
| Sep 29, 2018 | -11.55% |
| Sep 23, 2017 | -50.20% |
| Sep 24, 2016 | -110.09% |
| Sep 26, 2015 | -572.53% |
| Sep 27, 2014 | -198.64% |
| Sep 28, 2013 | -192.98% |
| Sep 29, 2012 | -314.08% |
| Sep 24, 2011 | -513.68% |
| Sep 25, 2010 | -632.67% |
| Sep 26, 2009 | -273.98% |
| Mar 28, 2009 | -164.37% |
API Access
Birks Return on Equity [ROE] 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=return-on-equity-%5Broe%5D&ticker=BGICF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-equity-[roe]", "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=return-on-equity-%5Broe%5D&ticker=BGICF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();