Birkenstock Holding (BIRK) EV to EBITDA (2023 - 2026)
Birkenstock Holding's (BIRK) EV to EBITDA was 9.37 for fiscal Q3 2026 (quarter ended Jun 30, 2026), down 28.6% from 13.13 a year earlier but up 10.0% from the prior quarter.
Birkenstock Holding (BIRK) EV to EBITDA (2023 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Birkenstock Holding's EV to EBITDA came in at 8.20, down 30.1% year-over-year; for FY2025 (ended Sep 30, 2025), it was 10.24, down 33.5% from FY2024.
- By fiscal year, EV to EBITDA came in at 15.39 in FY2024.
- Five-year quarterly EV to EBITDA spans a low of 8.52 in fiscal Q2 2026 and a high of 21.49 in fiscal Q1 2024.
- Year over year, EV to EBITDA has now declined in each of the last seven quarters, with an average decline of 31.2% over the last seven quarters.
- Per Business Quant data, the three fiscal quarters before Q3 2026 came in at 8.52 (Q2 2026), 9.80 (Q1 2026) and 11.18 (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Nike | 53.94 Bn | 19.93 Bn | 5.39 Bn |
| 2 | Tapestry | 22.74 Bn | 18.69 Bn | 1.56 Bn |
| 3 | Ralph Lauren | 21.47 Bn | 13.57 Bn | 1.44 Bn |
| 4 | Deckers Outdoor | 11.15 Bn | 4.02 Bn | - |
| 5 | Lululemon Athletica | 10.72 Bn | 4.97 Bn | 1.46 Bn |
| 6 | Levi Strauss | 7.64 Bn | 4.29 Bn | 979.10 Mn |
| 7 | Gildan Activewear | 6.52 Bn | 5.51 Bn | 459.76 Mn |
| 8 | Birkenstock Holding | 6.06 Bn | 4.37 Bn | 493.89 Mn |
| 9 | Crocs | 5.89 Bn | 5.30 Bn | 700.71 Mn |
| 10 | V F | 5.67 Bn | 2.29 Bn | 917.04 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 9.37 |
| Mar 31, 2026 | 8.52 |
| Dec 31, 2025 | 9.80 |
| Sep 30, 2025 | 11.18 |
| Jun 30, 2025 | 13.13 |
| Mar 31, 2025 | 13.01 |
| Dec 31, 2024 | 17.21 |
| Sep 30, 2024 | 15.45 |
| Jun 30, 2024 | 19.56 |
| Mar 31, 2024 | 19.03 |
| Dec 31, 2023 | 21.49 |
Birkenstock Holding EV to EBITDA 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=ev-to-ebitda&ticker=BIRK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-ebitda", "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=ev-to-ebitda&ticker=BIRK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();