Birks (BGICF) Return on Capital Employed [ROCE] (2010 - 2019)
Birks (BGICF) posted Return on Capital Employed [ROCE] of 1.17% for FY2024 (year ended Mar 30, 2024), up 6.05 percentage points from -4.88% in FY2023.
Analysis
Birks (BGICF) Return on Capital Employed [ROCE] (2010 - 2019) Analysis & Trends
Since FY2011, Birks has reported Return on Capital Employed [ROCE] for 13 fiscal years.
- Annual Return on Capital Employed [ROCE] shows a five-year change of +38.89 percentage points (FY2019 to FY2024).
- Annual Return on Capital Employed [ROCE] has run from a low of -11.80% in FY2020 to a high of 4.31% in FY2022 over five years.
- Business Quant data shows BGICF's Return on Capital Employed [ROCE] at -4.88% in FY2023 (-9.19 pp), 4.31% in FY2022 (+7.30 pp), -2.99% in FY2021 (+8.81 pp) and -11.80% in FY2020 (+25.92 pp).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 55.42 Bn | 21.62 Bn | 4.80 Bn | 14.08% |
| 2 | Ralph Lauren | 22.70 Bn | 14.79 Bn | 1.44 Bn | 21.43% |
| 3 | Tapestry | 22.12 Bn | 18.08 Bn | 1.56 Bn | 38.80% |
| 4 | Deckers Outdoor | 11.53 Bn | 4.41 Bn | - | - |
| 5 | Lululemon Athletica | 10.55 Bn | 4.80 Bn | 1.46 Bn | 29.51% |
| 6 | Levi Strauss | 8.17 Bn | 4.75 Bn | 1.07 Bn | 15.75% |
| 7 | Gildan Activewear | 7.49 Bn | 6.41 Bn | 459.76 Mn | 4.81% |
| 8 | V F | 6.78 Bn | 3.40 Bn | 917.04 Mn | 9.02% |
| 9 | Birkenstock Holding | 5.99 Bn | 4.31 Bn | 493.89 Mn | 11.39% |
| 10 | Birks | 5.52 Mn | 147,057.52 | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 28, 2019 | -2.51% |
| Sep 24, 2016 | 7.56% |
| Sep 26, 2015 | 8.46% |
| Sep 27, 2014 | -2.52% |
| Sep 28, 2013 | -14.32% |
| Sep 29, 2012 | -25.26% |
| Sep 24, 2011 | -42.56% |
| Sep 25, 2010 | -47.88% |
API Access
Birks Return on Capital Employed [ROCE] 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-capital-employed-%5Broce%5D&ticker=BGICF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "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-capital-employed-%5Broce%5D&ticker=BGICF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();