Birkenstock Holding (BIRK) Price to Earnings (2023 - 2026)
Birkenstock Holding's (BIRK) Price to Earnings was 20.20 for fiscal Q3 2026 (quarter ended Jun 30, 2026), down 26.5% from 27.50 a year earlier but up 25.9% from the prior quarter.
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Analysis
Birkenstock Holding (BIRK) Price to Earnings (2023 - 2026) Analysis & Trends
For FY2025 (ended Sep 30, 2025), Price to Earnings at Birkenstock Holding was 20.44, down 53.6% from FY2024.
- By fiscal year, Price to Earnings came in at 44.00 in FY2024.
- Five-year quarterly Price to Earnings spans a low of 16.04 in fiscal Q2 2026 and a high of 106.97 in fiscal Q1 2024.
- Year over year, Price to Earnings has now declined in each of the last seven quarters, with an average decline of 53.4% over the last seven quarters.
- Per Business Quant data, the three fiscal quarters before Q3 2026 came in at 16.04 (Q2 2026), 17.68 (Q1 2026) and 21.44 (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Nike | 56.89 Bn | 23.09 Bn | 4.80 Bn |
| 2 | Ralph Lauren | 22.95 Bn | 15.05 Bn | 1.44 Bn |
| 3 | Tapestry | 22.81 Bn | 18.77 Bn | 1.56 Bn |
| 4 | Deckers Outdoor | 12.13 Bn | 5.00 Bn | - |
| 5 | Lululemon Athletica | 11.09 Bn | 5.34 Bn | 1.46 Bn |
| 6 | Levi Strauss | 8.25 Bn | 4.84 Bn | 1.07 Bn |
| 7 | Gildan Activewear | 7.59 Bn | 6.51 Bn | 459.76 Mn |
| 8 | V F | 6.87 Bn | 3.49 Bn | 917.04 Mn |
| 9 | Birkenstock Holding | 6.20 Bn | 4.52 Bn | 493.89 Mn |
| 10 | Crocs | 5.82 Bn | 5.23 Bn | 700.71 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 20.20 |
| Mar 31, 2026 | 16.04 |
| Dec 31, 2025 | 17.68 |
| Sep 30, 2025 | 21.44 |
| Jun 30, 2025 | 27.50 |
| Mar 31, 2025 | 31.89 |
| Dec 31, 2024 | 44.84 |
| Sep 30, 2024 | 44.48 |
| Jun 30, 2024 | 83.04 |
| Mar 31, 2024 | 79.89 |
| Dec 31, 2023 | 106.97 |
API Access
Birkenstock Holding Price to 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=price-to-earnings&ticker=BIRK&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-earnings", "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=price-to-earnings&ticker=BIRK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();