BrilliA (BRIA) Property, Plant & Equipment (Net) (2024 - 2026)
BrilliA's Property, Plant & Equipment (Net) was $186,000 in the quarter ended Mar 31, 2026, up 36.8% from $136,000 a year earlier.
Analysis
BrilliA (BRIA) Property, Plant & Equipment (Net) (2024 - 2026) Analysis & Trends
From the quarter ended Mar 31, 2024 onward, BrilliA has reported Property, Plant & Equipment (Net) for 6 quarters.
- Property, Plant & Equipment (Net) shows a three-year compound annual growth rate of 18.4% (years ended Mar 2023 to Mar 2026).
- In earlier years, Property, Plant & Equipment (Net) was $136,000 in the year ended Mar 31, 2025 (+38.8%), $98,000 in the year ended Mar 31, 2024 (-12.5%) and $112,000 in the year ended Mar 31, 2023.
Peer Set
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 | BrilliA | 35.00 Mn | 4.89 Mn | - | 186,000.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 186,000.00 |
| Sep 30, 2025 | 173,000.00 |
| Jul 22, 2025 | 136,000.00 |
| Mar 31, 2025 | 136,000.00 |
| Sep 30, 2024 | 144,635.00 |
| Mar 31, 2024 | 98,000.00 |
API Access
BrilliA 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=BRIA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "ticker": "BRIA", "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=BRIA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();