Birkenstock Holding (BIRK) Price to Book (2023 - 2026)
Birkenstock Holding's Price to Book came in at 2.43 for fiscal Q3 2026 (quarter ended Jun 30, 2026), down 21.6% from 3.10 a year earlier but up 24.9% from the prior quarter.
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Analysis
Birkenstock Holding (BIRK) Price to Book (2023 - 2026) Analysis & Trends
For FY2025 (ended Sep 30, 2025), Birkenstock Holding's Price to Book was 2.61, down 18.6% from FY2024.
- Going back by fiscal year, Price to Book was 3.21 in FY2024.
- The five-year range for quarterly Price to Book is 1.95 (fiscal Q2 2026) to 3.62 (fiscal Q1 2025).
- Year-over-year, Price to Book has declined for six consecutive quarters, with an average decline of 17.2% over the last seven quarters.
- Business Quant data shows BIRK's Price to Book at 1.95 (Q2 2026), 2.33 (Q1 2026) and 2.61 (Q4 2025) in the three fiscal quarters before Q3 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Nike | 56.59 Bn | 22.79 Bn | 4.80 Bn |
| 2 | Tapestry | 23.22 Bn | 19.18 Bn | 1.56 Bn |
| 3 | Ralph Lauren | 22.91 Bn | 15.01 Bn | 1.44 Bn |
| 4 | Deckers Outdoor | 12.28 Bn | 5.16 Bn | - |
| 5 | Lululemon Athletica | 11.66 Bn | 5.91 Bn | 1.46 Bn |
| 6 | Levi Strauss | 8.28 Bn | 4.86 Bn | 1.07 Bn |
| 7 | V F | 6.86 Bn | 3.48 Bn | 917.04 Mn |
| 8 | Gildan Activewear | 6.60 Bn | 5.52 Bn | 459.76 Mn |
| 9 | Birkenstock Holding | 6.28 Bn | 4.60 Bn | 493.89 Mn |
| 10 | Crocs | 5.92 Bn | 5.34 Bn | 700.71 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.47 |
| Mar 31, 2026 | 1.99 |
| Dec 31, 2025 | 2.31 |
| Sep 30, 2025 | 2.61 |
| Jun 30, 2025 | 2.99 |
| Mar 31, 2025 | 2.85 |
| Dec 31, 2024 | 3.72 |
| Sep 30, 2024 | 3.16 |
| Jun 30, 2024 | 3.53 |
| Mar 31, 2024 | 3.15 |
| Dec 31, 2023 | 3.28 |
API Access
Birkenstock Holding Price to Book 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-book&ticker=BIRK&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-book", "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-book&ticker=BIRK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();