Birkenstock Holding (BIRK) Property, Plant & Equipment (Net) (2021 - 2026)
Birkenstock Holding (BIRK) posted Property, Plant & Equipment (Net) of $472.48 million for fiscal Q3 2026 (quarter ended Jun 30, 2026), up 20.9% from $390.94 million a year earlier and up 3.1% from the prior quarter.
Birkenstock Holding (BIRK) Property, Plant & Equipment (Net) (2021 - 2026) Analysis & Trends
At the end of FY2025 (ended Sep 30, 2025), Birkenstock Holding's Property, Plant & Equipment (Net) came in at $417.93 million, up 19.4% from FY2024.
- Annual Property, Plant & Equipment (Net) has increased for four consecutive fiscal years, with a four-year compound annual growth rate of 22.9% (FY2021 to FY2025).
- In prior fiscal years, Birkenstock Holding's Property, Plant & Equipment (Net) was $350.16 million in FY2024 (+12.4%), $311.39 million in FY2023 (+50.6%), $206.7 million in FY2022 (+13.0%) and $182.91 million in FY2021.
- The fiscal Q3 2026 figure stands as the highest quarterly Property, Plant & Equipment (Net) in data going back to fiscal Q4 2021.
- On a year-over-year basis, Property, Plant & Equipment (Net) has increased in each of the last eight quarters, with growth averaging 17.7% over the last eight quarters.
- The year-over-year growth in Property, Plant & Equipment (Net) has ranged between 6.3% (fiscal Q2 2025) and 50.6% (fiscal Q4 2023) over the last five years.
- According to Business Quant data, Property, Plant & Equipment (Net) for the three prior fiscal quarters was $458.18 million (Q2 2026), $440.91 million (Q1 2026) and $417.93 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Net) (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 50.34 Bn | 16.54 Bn | 4.80 Bn | 4.89 Bn |
| 2 | Tapestry | 23.66 Bn | 19.62 Bn | 1.56 Bn | 502.10 Mn |
| 3 | Ralph Lauren | 21.85 Bn | 13.95 Bn | 1.44 Bn | 1.05 Bn |
| 4 | Deckers Outdoor | 11.26 Bn | 4.14 Bn | - | 337.78 Mn |
| 5 | Lululemon Athletica | 10.07 Bn | 4.32 Bn | 1.46 Bn | 2.05 Bn |
| 6 | Levi Strauss | 7.67 Bn | 4.32 Bn | 979.10 Mn | 659.80 Mn |
| 7 | Gildan Activewear | 6.27 Bn | 5.26 Bn | 459.76 Mn | 1.32 Bn |
| 8 | Birkenstock Holding | 6.13 Bn | 4.43 Bn | 493.89 Mn | 472.48 Mn |
| 9 | Crocs | 5.68 Bn | 5.09 Bn | 700.71 Mn | 246.08 Mn |
| 10 | V F | 5.64 Bn | 2.26 Bn | 917.04 Mn | 674.54 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 472.48 Mn |
| Mar 31, 2026 | 458.18 Mn |
| Dec 31, 2025 | 440.91 Mn |
| Sep 30, 2025 | 417.93 Mn |
| Jun 30, 2025 | 390.94 Mn |
| Mar 31, 2025 | 350.92 Mn |
| Dec 31, 2024 | 347.30 Mn |
| Sep 30, 2024 | 350.16 Mn |
| Jun 30, 2024 | 336.48 Mn |
| Mar 31, 2024 | 330.11 Mn |
| Dec 31, 2023 | 317.73 Mn |
| Sep 30, 2023 | 311.39 Mn |
| Sep 30, 2022 | 206.70 Mn |
| Sep 30, 2021 | 180.43 Mn |
Birkenstock Holding Property, Plant & Equipment (Net) 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=property-plant-and-equipment-net&ticker=BIRK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "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=property-plant-and-equipment-net&ticker=BIRK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();