Birkenstock Holding (BIRK) EV to EBITDA (2023 - 2026)
Birkenstock Holding's (BIRK) EV to EBITDA was 7.89 for fiscal Q3 2026 (quarter ended Jun 30, 2026), down 29.4% from 11.16 a year earlier but up 5.9% 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 6.90, down 30.3% year-over-year; for FY2025 (ended Sep 30, 2025), it was 9.66, down 22.8% from FY2024.
- By fiscal year, EV to EBITDA came in at 12.52 in FY2024.
- Five-year quarterly EV to EBITDA spans a low of 7.45 in fiscal Q2 2026 and a high of 17.37 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 27.5% over the last seven quarters.
- Per Business Quant data, the three fiscal quarters before Q3 2026 came in at 7.45 (Q2 2026), 8.69 (Q1 2026) and 9.67 (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Nike | 59.50 Bn | 25.70 Bn | 4.80 Bn |
| 2 | Tapestry | 27.78 Bn | 23.74 Bn | 1.56 Bn |
| 3 | Ralph Lauren | 24.00 Bn | 15.92 Bn | 1.63 Bn |
| 4 | Lululemon Athletica | 12.91 Bn | 7.16 Bn | 1.46 Bn |
| 5 | Deckers Outdoor | 12.31 Bn | 5.50 Bn | 895.11 Mn |
| 6 | Levi Strauss | 9.34 Bn | 5.92 Bn | 1.07 Bn |
| 7 | V F | 8.31 Bn | 4.91 Bn | 1.49 Bn |
| 8 | Crocs | 7.63 Bn | 7.04 Bn | 689.73 Mn |
| 9 | Birkenstock Holding | 7.13 Bn | 5.45 Bn | 493.89 Mn |
| 10 | Gildan Activewear | 5.83 Bn | 4.79 Bn | 624.95 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 7.89 |
| Mar 31, 2026 | 7.45 |
| Dec 31, 2025 | 8.69 |
| Sep 30, 2025 | 9.67 |
| Jun 30, 2025 | 11.16 |
| Mar 31, 2025 | 10.92 |
| Dec 31, 2024 | 14.25 |
| Sep 30, 2024 | 12.39 |
| Jun 30, 2024 | 15.08 |
| Mar 31, 2024 | 14.84 |
| Dec 31, 2023 | 17.37 |
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();