Birks (BGICF) Return on Sales [ROS] (2009 - 2025)
Birks (BGICF) recorded Return on Sales [ROS] of 1.53% in FY2026 (year ended Mar 28, 2026), up 4.64 percentage points from -3.11% in FY2025.
Powered by 
Analysis
Birks (BGICF) Return on Sales [ROS] (2009 - 2025) Analysis & Trends
Starting with FY2010, Birks' Return on Sales [ROS] history includes 17 fiscal years.
- Annual Return on Sales [ROS] has a five-year change of +3.50 percentage points (FY2021 to FY2026).
- The FY2026 figure is the highest annual Return on Sales [ROS] since FY2022.
- Per Business Quant data, BGICF's Return on Sales [ROS] was -3.11% in FY2025 (-3.77 pp), 0.65% in FY2024 (+2.99 pp), -2.34% in FY2023 (-4.80 pp) and 2.46% in FY2022 (+4.44 pp).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 57.42 Bn | 23.62 Bn | 4.80 Bn | 7.92% |
| 2 | Tapestry | 26.82 Bn | 22.74 Bn | 1.49 Bn | 22.39% |
| 3 | Ralph Lauren | 24.00 Bn | 15.93 Bn | 1.63 Bn | 16.58% |
| 4 | Deckers Outdoor | 12.00 Bn | 5.20 Bn | 895.11 Mn | 26.30% |
| 5 | Lululemon Athletica | 11.76 Bn | 6.01 Bn | 1.46 Bn | 18.78% |
| 6 | Levi Strauss | 9.42 Bn | 6.00 Bn | 1.07 Bn | 13.81% |
| 7 | V F | 8.17 Bn | 4.76 Bn | 1.49 Bn | 13.65% |
| 8 | Crocs | 7.38 Bn | 6.78 Bn | 689.73 Mn | 28.00% |
| 9 | Birkenstock Holding | 6.85 Bn | 5.17 Bn | 493.89 Mn | 28.22% |
| 10 | Birks | 3.94 Mn | -2.13 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 27, 2025 | -0.20% |
| Sep 28, 2024 | -0.34% |
| Sep 23, 2023 | 0.56% |
| Sep 24, 2022 | -0.84% |
| Sep 25, 2021 | 3.16% |
| Sep 23, 2017 | -9.09% |
| Sep 24, 2016 | -3.69% |
| Sep 26, 2015 | 4.53% |
| Sep 28, 2013 | -2.56% |
| Sep 29, 2012 | -0.78% |
| Sep 24, 2011 | 0.01% |
| Sep 25, 2010 | -3.47% |
| Sep 26, 2009 | -7.19% |
| Mar 28, 2009 | -24.01% |
API Access
Birks Return on Sales [ROS] 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-sales-%5Bros%5D&ticker=BGICF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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-sales-%5Bros%5D&ticker=BGICF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();