Birkenstock Holding (BIRK) Return on Sales [ROS] (2022 - 2026)
Birkenstock Holding's Return on Sales [ROS] came in at 28.22% for fiscal Q3 2026 (quarter ended Jun 30, 2026), down 2.96 percentage points from 31.18% a year earlier but up 3.08 percentage points from the prior quarter.
Birkenstock Holding (BIRK) Return on Sales [ROS] (2022 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Birkenstock Holding reported Return on Sales [ROS] of 24.23%, down 2.20 percentage points year-over-year; for FY2025 (ended Sep 30, 2025), it came in at 26.20%, up 2.87 percentage points from FY2024.
- Return on Sales [ROS] carries a four-year change of +22.92 percentage points (FY2021 to FY2025).
- Going back by fiscal year, Return on Sales [ROS] was 23.33% in FY2024 (+5.86 pp), 17.47% in FY2023 (-11.74 pp), 29.21% in FY2022 (+25.93 pp) and 3.28% in FY2021.
- The five-year range for quarterly Return on Sales [ROS] is 5.73% (fiscal Q1 2023) to 31.18% (fiscal Q3 2025).
- Year-over-year, Return on Sales [ROS] increased in five of the last eight quarters, with an average year-over-year change of +2.58 percentage points.
- The fastest year-over-year change in Return on Sales [ROS] over five years came in fiscal Q4 2024 (a gain of 14.70 percentage points), and the weakest in fiscal Q4 2023 (a drop of 19.93 percentage points).
- Business Quant data shows BIRK's Return on Sales [ROS] at 25.14% (Q2 2026), 19.49% (Q1 2026) and 21.32% (Q4 2025) in the three fiscal quarters before Q3 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 52.05 Bn | 18.05 Bn | 5.39 Bn | 11.95% |
| 2 | Tapestry | 23.90 Bn | 19.86 Bn | 1.56 Bn | 23.57% |
| 3 | Ralph Lauren | 21.81 Bn | 13.91 Bn | 1.44 Bn | 17.47% |
| 4 | Deckers Outdoor | 11.33 Bn | 4.20 Bn | - | - |
| 5 | Lululemon Athletica | 10.22 Bn | 4.47 Bn | 1.46 Bn | 18.78% |
| 6 | Levi Strauss | 7.69 Bn | 4.35 Bn | 979.10 Mn | 7.82% |
| 7 | Gildan Activewear | 6.41 Bn | 5.41 Bn | 459.76 Mn | 11.12% |
| 8 | Birkenstock Holding | 6.07 Bn | 4.37 Bn | 493.89 Mn | 28.22% |
| 9 | Crocs | 5.74 Bn | 5.15 Bn | 700.71 Mn | 24.22% |
| 10 | V F | 5.66 Bn | 2.28 Bn | 917.04 Mn | -4.98% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 28.22% |
| Mar 31, 2026 | 25.14% |
| Dec 31, 2025 | 19.49% |
| Sep 30, 2025 | 21.32% |
| Jun 30, 2025 | 31.18% |
| Mar 31, 2025 | 30.53% |
| Dec 31, 2024 | 17.70% |
| Sep 30, 2024 | 21.40% |
| Jun 30, 2024 | 27.53% |
| Mar 31, 2024 | 27.54% |
| Dec 31, 2023 | 11.74% |
| Sep 30, 2023 | 6.70% |
| Jun 30, 2023 | 24.94% |
| Mar 31, 2023 | 26.11% |
| Dec 31, 2022 | 5.73% |
| Sep 30, 2022 | 26.63% |
Birkenstock Holding 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=BIRK&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "BIRK", "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=BIRK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();