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.
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 Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Nike | 52.47 Bn | 18.46 Bn | 5.39 Bn |
| 2 | Tapestry | 23.05 Bn | 19.01 Bn | 1.56 Bn |
| 3 | Ralph Lauren | 21.35 Bn | 13.45 Bn | 1.44 Bn |
| 4 | Deckers Outdoor | 11.12 Bn | 3.99 Bn | - |
| 5 | Lululemon Athletica | 10.25 Bn | 4.50 Bn | 1.46 Bn |
| 6 | Levi Strauss | 7.60 Bn | 4.25 Bn | 979.10 Mn |
| 7 | Gildan Activewear | 6.52 Bn | 5.51 Bn | 459.76 Mn |
| 8 | Birkenstock Holding | 5.97 Bn | 4.27 Bn | 493.89 Mn |
| 9 | Crocs | 5.64 Bn | 5.06 Bn | 700.71 Mn |
| 10 | V F | 5.53 Bn | 2.15 Bn | 917.04 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.43 |
| Mar 31, 2026 | 1.95 |
| Dec 31, 2025 | 2.33 |
| Sep 30, 2025 | 2.61 |
| Jun 30, 2025 | 3.10 |
| Mar 31, 2025 | 2.93 |
| Dec 31, 2024 | 3.62 |
| Sep 30, 2024 | 3.21 |
| Jun 30, 2024 | 3.51 |
| Mar 31, 2024 | 3.13 |
| Dec 31, 2023 | 3.38 |
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_KEY
import 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();